feat: 增加 DCF 等估值工具

- 新增分地区收入占比、零售门店数量、机器人商店数量三张图表及对应 CSV 数据
- 渠道收入图矮段标签外置并扇形排布，避免段内标签挤压
- IP 收入占比图改用 standardLegend 统一图例样式
- 折线标注增加白底描边，提升可读性

CLAUDE.md

@@ -6,8 +6,8 @@
 
 ```js
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle,
+  PALETTE, FINANCIAL_COLORS, BRIDGE_COLORS, CHANNEL_COLORS, FONT, axisCommon, periodAxis, titleStyle,
-  lineSeries, barSeries, standardLegend, footnote, watermarks, LAYOUT,
+  lineSeries, lineDataWithSafeLabels, barSeries, standardLegend, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 ```
 
@@ -22,18 +22,53 @@ import {
 ```bash
 node test/regress.mjs ppmt_ip_share                    # 改了一张，就只测这一张
 node test/regress.mjs ppmt_ip_share ppmt_core_margin   # 改了多张，列出来
-npm test                                               # 全量，只在改了 theme.js / csv.js 等公共模块时才跑
+pnpm test                                              # 全量，只在改了 theme.js / csv.js 等公共模块时才跑
 ```
 
-全量跑纯属浪费，而且十几张无关图表的输出会盖住本次改动的真实问题。不传参数时才是全量，所以 `npm test` 保持向后兼容。
+全量跑纯属浪费，而且十几张无关图表的输出会盖住本次改动的真实问题。不传参数时才是全量，所以 `pnpm test` 保持向后兼容。
 
-它会断言 `legend.top`、`grid.top`、折线 `symbolSize`/`borderWidth`，并检查 SVG 字体引号。加新图记得同步往 `regress.mjs` 顶部的 `all` 数组加一行，否则不会被测到。
+它会断言 `legend.top`、`grid.top`、折线 `symbolSize`/`borderWidth`，并检查 SVG 字体引号。回归测试直接遍历 `manifest.json` 的 `chartCatalog`，新增图只要完成 registry 与 manifest 登记就会被测到。
+
+**带参数的图要另外跑参数测试。** 通用回归永远按默认值渲染，跑不到手输参数那条路径：
+
+```bash
+pnpm test:param          # 甜蜜击球区「现价」参数：标线位置 + 插值结果（两家公司 6 张图）
+```
+
+**手输参数的图还要量几何、而且必须扫全价位。** 参数测试只查数值对不对，查不出「标签撞在一起」；而碰撞窗口常常只有几个价位宽 —— 甜蜜击球区实测：现价贴数据区下沿时顶部标注会撞左上角的区域带标签（宁德只有 220–240 会撞，抽查 310/400/700 全绿），现价落进关键价位旁一个数据格时两个数据标签会叠（宁德只在 265±20、腾讯只在 404.5±17）：
+
+```bash
+cp ~/.workbuddy/skills/smart-fin-chart-add-chart/scripts/geometry_check.mjs tmp_geometry.mjs
+node tmp_geometry.mjs --sweep sweet-tencent-price-ev sweet-catl-any-price   # 全价位扫描
+node tmp_geometry.mjs --w=940 sweet-tencent-price-ev                       # 换画布宽度
+rm tmp_geometry.mjs
+```
+
+## 图表参数（tab 级控件）
+
+可手输的参数在 `manifest.json` 的 **tab** 上声明，不是在卡片上 —— 同一 tab 里的图共用一套口径（现价对三张击球区图是同一个事实），卡片级会变成三个各说各话的输入框：
+
+```json
+"tabs": [{ "id": "catl", "name": "宁德时代",
+  "controls": [{ "id": "price", "type": "number", "label": "现价", "unit": "元",
+                 "value": 316.21, "min": 220, "max": 700, "step": 1 }],
+  "chartRefs": ["..."] }]
+```
+
+- 链路：`renderTabControls`（ui.js，纯 DOM）→ `applyTabParam`（main.js，校验 + 防抖）→ `refreshChartParams`（复用实例 `setOption`，不 dispose 重建）→ 图表 builder 的第三个参数 `params`。
+- **位置**：`shell.params` 是页面里独立的一行，钉在 tab 栏正下方，与 tab 栏同处一个 sticky 容器 `.tab-header`（两行各自 sticky 就得给参数行算「tab 栏高度」的偏移，而 tab 栏会换行、窄屏还横向滚动，高度不固定）。没有 `controls` 的 tab 由 JS 置 `hidden`，整行含虚线分隔一并消失。改动这里要连带核对 `.card` 的 `scroll-margin-top`（桌面 128px / ≤880px 160px，= 页头底边 + 18px 呼吸）。
+- builder 签名写成 `(rows, { width, height, params })`，取值用 `resolvePrice(params)` 之类带兜底的解析函数：**没有 params 时必须回落到默认值**，否则 SSR 回归测试与脚本会拿到 NaN。
+- **可输区间 = 数据区，不是坐标轴**：手输值靠相邻行线性插值取值，落在数据区外只能得到 NaN。轴可以比数据区宽一点（留白），输入区间不行。
+- 手输值通常不是数据行，所以那些「只标关键价位」的 `labeledPrices` 要按数据行命中与否决定是否带上它，并做避让（见 `sweet_spot.js` 的 `refLabels`）：现价与某个关键价位落在**同一个数据格**内时只留现价 —— 两个标签数值几乎相同、包围盒会实打实叠在一起。阈值取数据格步长（20）而不是现算像素，因为标签宽约 43px、每元约 1.8px，像素阈值会随轴范围漂。
+- **「现价」这类跟随输入变化的 graphic 标注要画在绘图区上方那条留白带里**（`top: LAYOUT.gridTop - 30`），不要贴绘图区顶边（`gridTop + 4`）：贴边时它和绘图区顶行的文字抢位置，手输值落在低价端必然相撞（宁德 220 元时与「卖出区 >30x」重叠 35×8px）。画在外面只剩居中的图例在它上方，永不相交，顺带消除了「换个价、标注就上下跳」。
+- **纵轴下限要给「区域带名字」那一条留位置。** 纵向区域带的名字画在绘图区底边上方 12–25px，若数据线能压到接近下限，线标签就会和带名字重叠（宁德图 3 的「仅价差年化」在 700 元处跌到 -4.7%，轴下限 -10 只留 5.3pp 余量，手输 680 元时「-3.8%」压住「卖出区」22×7px）。改轴下限比挪标签便宜：图 3 的纵轴两家现在都是 -20 起。
+- 默认值的同源方要写在注释里。现价这套：`sweet_spot.js` 的 `profile.priceDefault`、manifest 的 `controls[].value`、`build_sweet_spot_catl.py` / `build_sweet_spot_tencent.py` 三处一起改。
 
 **右侧纵向图例的图会报 `legend.top=middle (期望85)`，这是预期的，不要去"修"。** 那条断言的 85px 基准是给顶部横向图例定的，对 `orient: 'vertical'` + `top: 'middle'` 的图不适用（`ppmt_ip_share`、`ppmt_ip_share_history` 都会报）。
 
 ## 踩过的坑
 
-**不要用 `...legendStyle`。** 它遗留 `top: 62` 且曾带 `icon: 'roundRect'`——后者会盖掉 ECharts 按系列类型自动生成的图例（折线本该是「短线+空心圆」）。用 `standardLegend()`。
+**优先用 `standardLegend()`，且不要手工设置 `legend.icon`。** ECharts 会按系列类型自动生成图例：柱状图为矩形，折线图为「短线 + 空心圆」。需要特殊位置时可扩展 `legendStyle`，但不得覆盖这一自动类型图标。
 
 **`label.position` 不接受函数。** 写了会被静默忽略、退化成默认位置，实测确认过。要让同一系列内不同点朝向不同，只能逐点覆盖 `data`：`{ value, label: { position: 'top' } }`。
 
@@ -45,6 +80,10 @@ npm test                                               # 全量，只在改了 t
 
 ## 数据口径
 
+**底稿与图表数据分层。** `data/{company}/rawData/` 是唯一可维护的数据层。当前泡泡玛特的维护入口是其中的 `泡泡玛特_财报分析底稿.xlsx`：人工或 AI 从 PDF、截图、XLSX 提取的基础值先写入这份底稿，并保留来源文件、工作表和定位信息。`data/{company}/*.csv` 是图表运行时投影，只能由脚本生成，禁止手工编辑。
+
+**维护明细，不维护可推导结果。** 收入、门店数、财报科目等基础值应保存；占比、同比、利润率、H2 单半年和分析分类小计应由脚本生成。若财报披露了占比，可作为核对值保留，但不是图表的唯一输入。资产负债表的“类现金/经营类资产/有息负债”等分类以独立规则映射明细科目，不复制成第二套人工数字。
+
 **数值默认保留一位小数。** CSV 数据列与图表展示（柱/点标签、tooltip）统一保留一位小数（如 `71.1`、`311.4%`），四舍五入；确实需要其他精度时必须在 `footnote()` 或代码注释里说明原因。
 
 **CSV 存四位年份**（`2026H1`），简写只在显示层做。核对数据时无歧义。
@@ -57,8 +96,33 @@ npm test                                               # 全量，只在改了 t
 
 **桥图/瀑布图要验算闭合。** 各项占营收比是税前口径，加总到净利率前须乘税盾 `(1 - 有效税率)`；税率变化单独成项。恒等式 `净利率 = 税前利润率 × (1-税率)`，分解为 `Δ净 = Δ税前×(1-t₁) − 税前₂×Δt`。改完核对首尾误差应 < 0.05pct。
 
+## 甜蜜击球区板块（股价 ↔ 估值）
+
+菜单 id `sweet-spot`，两个 tab（`catl` 宁德时代 / `tencent` 腾讯控股），各三张图，**共用一套通用 builder**：
+
+| | 宁德时代 | 腾讯控股 |
+| --- | --- | --- |
+| 纵轴口径 | `PE = 市值 ÷ 2026E 归母净利` | `EV/EBIT =（市值 − 非经营资产）÷ TTM EBIT` |
+| 扣什么 | 类现金 2,263.8 亿（纯现金，准现金） | 净现金 581.9 + 上市投资 4,872.0 + 非上市投资 387.9 = 5,841.8 亿（股权，会波动） |
+| 甜蜜区锚 | 13 / 15.5 / 25 / 30x（资料库原表五档） | 8 / 10 / 12x（巴菲特原始锚，白送 / 甜点 / 上沿） |
+| 数据区 / 输入区 | 220–700 元 | 240–640 港元 |
+| 默认现价 | 316.21 元（2026-09-15） | 426.8 港元（2026-09-17） |
+
+**两家的口径差异不是随意选的**：宁德的类现金是现金，扣掉不改变分子的性质，PE 口径成立；腾讯的「类现金」主体是 5,260 亿投资组合（股权会波动），只扣净现金 581.9 亿几乎不改变倍数（少 0.23x），必须连投资组合一起扣才是经营资产的真实价格 —— 图 2 的三层线（不扣 / 只扣净现金 / 全扣）就是为把「漏扣投资组合会得出超上沿的假阴性」这件事画出来。
+
+- 代码结构：`js/charts/sweet_spot.js` 里 `PROFILES = { catl, tencent }` 两个配置块 + 三个通用 builder（`buildMultipleChart` / `buildAssetTierChart` / `buildAnyPriceChart`），导出 6 个图表函数。**加第三家公司不要复制粘贴 builder**，照着配置块的字段补齐即可。
+- CSV 由 `scripts/build_sweet_spot_catl.py` / `build_sweet_spot_tencent.py` 生成，禁止手工编辑。改股本、汇率、利润预期 → 改脚本常量 → 重跑 → 图表自动跟着走（区域边界是从 CSV 反解的，没写死）。
+- 区域边界的**股价**必须从数据反解（`multToPrice`），缺席的阈值**留 `null` 占位不要 filter 掉**，否则后面档位整体前移一格（表现为「偏贵」色带铺到轴右端、最贵那档退化成零宽，且不报错）。
+- 验证：`node test/sweet_spot_param.mjs`（42 项，独立复算公式）+ `geometry_check.mjs --sweep`（全价位量几何）。
+
 ## 配色
 
+**正式方向：轻快消费。** 柱线组合图的现金流、利润与同比使用 `FINANCIAL_COLORS`，渠道结构使用 `CHANNEL_COLORS`，瀑布图使用 `BRIDGE_COLORS`（蓝色基准、青绿色正向、珊瑚红负向）；不要在图表文件里为相同财务/渠道语义重写十六进制颜色。柱状系列负责分类，折线只保留一条高辨识度强调色。
+
+**一张图只留一个视觉主角。** 辅助柱使用中等饱和度；避免红、橙、紫等多个强调色同时竞争。分类色要同时拉开色相和明度；折线除颜色外还使用线宽、实虚线、空心圆和标签优先级辅助区分。
+
+**柱线组合的标签不能压在柱体端点。** 使用 `lineDataWithSafeLabels(rows, { lineKey, barKeys })`：正值标签在上、负值标签在下，接近柱值时自动增加距离，并配合 ECharts `labelLayout` 兜底；不要按某个年份写特判。
+
 先分清两件事，别混用同一个门槛。**选色的功夫要和系列数成正比**——两个系列的图不该选半天。
 
 **① 同一张图内的系列要能互相区分。** 这条永远要满足，是可读性问题：
@@ -85,6 +149,6 @@ npm test                                               # 全量，只在改了 t
 
 ## 脚注
 
-`footnote()` 单行约 60 字符封顶（1200px 画布），超了用 `\n` 手动断行。结尾统一 `| @思考的Joey`。
+`footnote()` 单行约 60 字符封顶（1200px 画布），超了用 `\n` 手动断行。结尾统一 `| @Joey知行记`。
 
 水印文案在 `theme.js` 的 `WATERMARK_TEXT`，改一处全局生效。

README.md

@@ -1,6 +1,6 @@
 # 财报图表 · Joey 谨制
 
-基于 **ECharts 5.5** 的财报数据可视化项目，模仿"方木博制"风格。
+基于 **ECharts 5.5** 的财报数据可视化项目，采用“Joey 风格”。
 
 修改 CSV 数据，刷新页面即可更新图表；每张图表都可独立导出为高清 PNG。
 
@@ -8,24 +8,38 @@
 
 ## 快速开始
 
-### 1. 启动本地服务器
+首次使用时，在项目根目录安装依赖：
 
 ```bash
-# 方案 A：Python 3（Mac/Linux 自带）
+pnpm install
-python3 -m http.server 8899
+```
 
-# 方案 B：Node.js（需要先安装 Node）
+### 1. 启动开发服务器（支持热更新）
-npx http-server -p 8899
 
-# 方案 C：PHP（Mac 自带）
+```bash
-php -S localhost:8899
+# 方案 A：Vite 开发服务器
+pnpm dev
+
+# 方案 B：直接双击项目根目录的 `.start.command`
+# 脚本会启动 Vite 并自动打开浏览器
 ```
 
 ### 2. 打开浏览器
 
 访问 **http://localhost:8899**。页面左侧选择公司，中间用 Tab 切换分析维度，右侧可跳转到当前分类的图表。
 
-当前 manifest 内登记了 5 张示例图表和 14 张泡泡玛特财报图表：
+修改 `js/` 或 `css/` 后页面会热更新；修改 `manifest.json` 或 `data/**/*.csv` 后页面会自动整页刷新。
+
+需要生成静态发布文件时：
+
+```bash
+pnpm build
+pnpm preview
+```
+
+构建结果位于 `dist/`，其中包含运行所需的 manifest 与 CSV，不包含 `data/ppmt/raw/` 中的原始 PDF/XLSX。
+
+当前 manifest 内登记了 5 张示例图表和 22 张泡泡玛特财报图表：
 
 **示例图表：**
 1. **存货、营收与存货周转天数** — 双柱 + 折线，双 Y 轴
@@ -49,6 +63,8 @@ php -S localhost:8899
 17. **主要 IP 收入占比（2026H1）** — 饼图，右侧图例带收入与占比
 18. **各 IP 半年收入占比（21H1-26H1）** — 归一化堆叠柱状图，看收入结构变迁
 19. **除 THE MONSTERS 外的 IP 收入及同比** — 柱 + 折线双轴，剔掉爆款看其余盘子
+20. **区域渠道分布（2026H1）** — 左右堆叠条形图，对比各区域线上与线下渠道收入
+21. **区域渠道同比增速趋势** — 热力图查看区域 × 渠道的历史同比变化
 
 ### 3. 修改数据
 
@@ -77,6 +93,7 @@ smart-fin-chart/
 ├── data/                   # 数据文件（按公司划分）
 │   ├── demo/
 │   └── ppmt/
+│       └── raw/            # 用户提供的原始 xlsx / PDF
 ├── js/
 │   ├── main.js             # 入口：读取 manifest、渲染、导出 PNG
 │   ├── ui.js               # 三栏 UI 构建
@@ -92,7 +109,7 @@ smart-fin-chart/
 ## 测试
 
 ```bash
-npm test
+pnpm test
 ```
 
 用 ECharts 的 SSR 模式遍历 manifest 中的图表并渲染成 SVG，断言：
@@ -139,7 +156,7 @@ A：
 1. 在 `data/` 下创建新 CSV
 2. 在 `js/charts/` 下创建新 `.js`，从 `theme.js` 取共享配置（`lineSeries()`、`barSeries()`、`standardLegend()`、`periodAxis`），不要手写等价值
 3. 在 `js/charts/index.js` 注册 chart key
-4. 在 `manifest.json` 对应公司与 Tab 中添加图表配置
+4. 在 `manifest.json` 对应公司的 `chartCatalog` 中登记图表配置，再在需要展示的 Tab 的 `chartRefs` 中引用它；概览可直接引用同一图表 ID，无需复制配置
 5. 跑 `node test/regress.mjs <chart-id>`；浏览器检查标签、颜色和脚注
 
 **Q：能改水印文字吗？**  
@@ -152,7 +169,7 @@ A：编辑 `js/theme.js` 的 `PALETTE` 对象，所有图表自动同步。
 
 ## 技术细节
 
-- **ECharts 5.5.1**：从 jsDelivr CDN 加载，无需 npm install
+- **ECharts 5.5.1**：从 jsDelivr CDN 加载，无需额外安装 ECharts
 - **ES6 Modules**：用原生 `<script type="module">`，无构建步骤
 - **Canvas 渲染**：页面用 canvas（性能好），导出时用 ECharts 自带的 `getDataURL` 生成 PNG
 - **响应式**：window resize 时重绘（水印数量跟着画布尺寸变化）
@@ -162,3 +179,27 @@ A：编辑 `js/theme.js` 的 `PALETTE` 对象，所有图表自动同步。
 ## 许可
 
 本项目代码采用 MIT 协议，数据仅供示例。
+
+## 估值工具
+
+左侧选择「估值工具」，打开「目标收益反推增长率」Tab。支持反推所需归母利润年复合增长率、计算预期年化 IRR、反推最高买入价；可调整安全边际、股息、股本变化率、基期和币种汇率。参数自动保存在当前浏览器，点击「恢复示例参数」可重置。
+
+入口：`#/valuation-tools/stock-return-valuation`。默认数字是教学情景假设，不是实时行情或财报。计算口径来自 `stock-return-valuation` 技能 v1.2.0，浏览器引擎位于 `js/tools/stock-return-math.js`，界面位于 `js/tools/stock-return-calculator.js` 和同名 HTML 模板。
+
+单独运行估值检查：`npm run test:valuation`；`npm test` 同时运行图表回归与估值检查。
+
+「DCF 估值」Tab（`#/valuation-tools/dcf`）采用分段工作台，可设置 1—5 个增长阶段，每段输入年数与现金流年增长率，总预测期不超过 30 年。支持 FCFF/WACC 与 FCFE/股权资本成本两种口径、永续增长终值、股权价值调整和逐年折现明细。
+
+总股本在基础参数区单独填写，单位为亿股；每股价值 = 股权价值（亿元）÷ 当前总股本（亿股）。每家公司的股本、股本日期、现金流和增长假设独立保存在当前浏览器，也可新增公司。真实公司初次使用时，现金流与股本留空，需自行核实后填写；教学示例的 10 亿股仅为假设。当前模型使用人民币金额与预测期内不变的股本。
+
+公司以按钮形式展示，点击即可切换；当前股价、股价日期和区间阈值也按公司自动保存到 LocalStorage，兼容原有 DCF 本地记录。股价需要手动输入，不自动请求行情。未填或填错股价不影响已完成的 DCF 计算，也不会保留上次股价标记。
+
+ECharts 区间图以 DCF 每股价值为基准，默认低于其 80% 为低估、高于其 120% 为高估，两端边界均包含在合理区间内。「区间设置」可分别修改低估折价（同时作为安全边际）与高估溢价阈值。这是当前假设下的自定义价格分区，不是独立的投资结论；无正股权价值时不显示区间。
+
+「目标收益交叉验证」共用当前公司的股价、股本、基期和 DCF 参考价。输入独立的归母净利润及预计利润增速后，可比较现价、DCF 含安全边际参考价两种买入情景的所需利润 CAGR 与预计 IRR，并查看悲观/基准/乐观退出 PE 情景。计算复用独立「目标收益反推增长率」工具的数学引擎。
+
+首屏顶部并列展示当前股价、按现价计算的预计年化 IRR、达到目标收益所需的利润年增速；后两项采用基准退出 PE，与下方现价情景结果同步。修改参数或切换公司后即时更新，参数不完整或无效时清除旧值。
+
+FCFE 模式可选择以用户提供的基期现金转化率（FCFE ÷ 归母净利润）估算利润；该值会明确标注为估算，不作为独立财报验证。FCFF 模式要求单独填写归母净利润。真实公司的利润、转化率和预计利润增速默认留空，新增验证参数仍按公司保存在原有 LocalStorage 记录中。
+
+双买入价格表按各自实际买入价反推增速及计算 IRR，不额外叠加安全边际。「共同参考买入上限」取 DCF 参考价和目标收益模型参考价的较低值，两边各应用一次安全边际。分红按独立路径计算；交叉验证中的股本变化仅影响收益模型，DCF 仍采用固定股本假设。验证参数缺失或无效时只隐藏验证结果，不影响有效的 DCF 结果。

css/dcf.css

@@ -0,0 +1,984 @@
+/* Share the application palette; keep semantic valuation bands subdued. */
+.dcf-calculator {
+  --df-bg:var(--surface);
+  --df-paper:var(--surface);
+  --df-ink:var(--ink);
+  --df-muted:#75716c;
+  --df-line:var(--line);
+  --df-accent:var(--accent);
+  --df-soft:var(--accent-soft);
+  --df-field:#faf9f7;
+  --df-accent-line:#d7c7b6;
+  --df-chart-secondary:#cbbba9;
+  --df-error:#a63f32;
+  --df-error-bg:#fff1ee;
+  --df-low:#e8ece5;
+  --df-fair:#eee9df;
+  --df-high:#eee5e1;
+  --df-good:#64715e;
+  --df-fair-ink:#786950;
+  --df-high-ink:#866d65;
+  --df-warning-bg:#f6f2eb;
+  background:var(--df-bg);
+  border:1px solid var(--df-line);
+  color:var(--df-ink);
+  border-radius:16px;
+  grid-template-columns:minmax(0,1fr);
+  gap:20px;
+  padding:28px;
+  font-size:13px;
+  line-height:1.6;
+  display:grid}
+.dcf-calculator * {
+  box-sizing:border-box}
+.dcf-calculator>* {
+  min-width:0}
+.dcf-calculator [hidden] {
+  display:none!important}
+.dcf-calculator h2 {
+  letter-spacing:-.8px;
+  margin:4px 0 5px;
+  font-size:27px;
+  font-weight:600;
+  line-height:1.5}
+.dcf-calculator h3 {
+  margin:0;
+  font-size:14px;
+  font-weight:600}
+.dcf-calculator p {
+  margin:0}
+.dcf-calculator .df-muted {
+  color:var(--df-muted);
+  font-size:11px;
+  line-height:1.7}
+.dcf-calculator .df-eyebrow {
+  letter-spacing:1.5px;
+  color:var(--df-accent);
+  font-size:10px;
+  font-weight:600}
+.dcf-calculator .df-eyebrow span {
+  color:var(--df-muted);
+  letter-spacing:.5px;
+  font-weight:400}
+.dcf-calculator .df-header {
+  justify-content:space-between;
+  align-items:center;
+  gap:16px;
+  display:flex}
+.dcf-calculator .df-subtitle {
+  color:var(--df-muted);
+  font-size:12px}
+.dcf-calculator .df-header-mark {
+  color:var(--df-muted);
+  white-space:nowrap;
+  font-size:11px}
+.dcf-calculator .df-header-actions {
+  display:flex;
+  align-items:center;
+  flex-shrink:0;
+  gap:12px}
+.dcf-calculator .df-help-trigger {
+  display:grid;
+  place-items:center;
+  width:34px;
+  height:34px;
+  padding:0;
+  color:var(--df-muted);
+  border-radius:50%}
+.dcf-calculator .df-help-trigger:hover {
+  color:var(--df-accent)}
+.dcf-calculator .df-help-dialog {
+  width:min(860px,calc(100% - 32px));
+  max-width:none;
+  max-height:calc(100vh - 32px);
+  max-height:calc(100dvh - 32px);
+  margin:auto;
+  padding:0;
+  border:1px solid var(--df-line);
+  border-radius:12px;
+  background:var(--df-paper);
+  color:var(--df-ink);
+  box-shadow:0 18px 60px rgb(51 51 51 / 15%);
+  overflow:hidden}
+.dcf-calculator .df-help-dialog[open] {
+  display:flex;
+  flex-direction:column}
+.dcf-calculator .df-help-dialog::backdrop {
+  background:rgb(51 51 51 / 35%)}
+.dcf-calculator .df-help-head {
+  display:flex;
+  align-items:center;
+  justify-content:space-between;
+  gap:16px;
+  padding:20px 24px 16px;
+  border-bottom:1px solid var(--df-line)}
+.dcf-calculator .df-help-head h2 {
+  margin:0 0 4px;
+  font-size:20px;
+  letter-spacing:0}
+.dcf-calculator .df-help-close {
+  flex-shrink:0;
+  width:32px;
+  height:32px;
+  padding:0;
+  font-size:22px;
+  line-height:1;
+  color:var(--df-muted)}
+.dcf-calculator .df-help-nav {
+  display:flex;
+  flex-shrink:0;
+  flex-wrap:wrap;
+  gap:8px;
+  padding:12px 24px;
+  border-bottom:1px solid var(--df-line);
+  background:var(--df-field)}
+.dcf-calculator .df-help-body {
+  min-height:0;
+  overflow-y:auto;
+  overscroll-behavior:contain;
+  padding:20px 24px 24px;
+  font-size:13px;
+  line-height:1.85}
+.dcf-calculator .df-help-lead {
+  padding:14px 16px;
+  background:var(--df-soft);
+  border-radius:7px}
+.dcf-calculator .df-help-body section {
+  padding-top:24px;
+  outline-offset:-2px}
+.dcf-calculator .df-help-body h3 {
+  margin-bottom:10px;
+  color:var(--df-accent);
+  font-size:15px}
+.dcf-calculator .df-help-body section p+p {
+  margin-top:10px}
+.dcf-calculator .df-help-formula {
+  margin:12px 0;
+  padding:12px 14px;
+  border-left:3px solid var(--df-accent-line);
+  background:var(--df-field);
+  font-variant-numeric:tabular-nums;
+  overflow-wrap:anywhere}
+.dcf-calculator .df-help-table {
+  margin:12px 0;
+  overflow-x:auto}
+.dcf-calculator .df-help-table table {
+  font-size:12px;
+  white-space:normal}
+.dcf-calculator .df-help-table :is(th,td) {
+  padding:10px;
+  text-align:left}
+.dcf-calculator .df-help-source {
+  margin-top:24px;
+  padding-top:14px;
+  border-top:1px solid var(--df-line);
+  font-size:11px;
+  color:var(--df-muted)}
+.dcf-calculator .df-help-source a {
+  color:var(--df-accent);
+  text-underline-offset:3px}
+@media (width<=680px) {
+  .dcf-calculator .df-header-actions {gap:6px}
+  .dcf-calculator .df-help-head {padding:16px}
+  .dcf-calculator .df-help-nav {padding:12px 16px;gap:6px}
+  .dcf-calculator .df-help-body {padding:16px}
+  .dcf-calculator .df-help-table :is(th,td) {padding:8px 6px}
+}
+.dcf-calculator .df-live-dot {
+  background:var(--df-accent);
+  border-radius:50%;
+  width:6px;
+  height:6px;
+  margin-right:7px;
+  display:inline-block}
+.dcf-calculator button {
+  font:inherit;
+  border:1px solid var(--df-line);
+  background:var(--df-paper);
+  color:var(--df-accent);
+  cursor:pointer;
+  border-radius:7px;
+  padding:7px 11px;
+  font-size:11px;
+  transition:background .15s,border-color .15s}
+.dcf-calculator button:hover {
+  background:var(--df-soft);
+  border-color:var(--df-accent-line)}
+.dcf-calculator button:disabled {
+  opacity:.4;
+  cursor:default}
+.dcf-calculator :is(input,select,button,summary):focus-visible {
+  outline-offset:3px;
+  outline:2px solid var(--df-accent)}
+.dcf-calculator [data-section] {
+  scroll-margin-top:88px}
+.dcf-calculator [data-section]:focus {
+  outline:none}
+.dcf-calculator label {
+  color:var(--df-ink);
+  align-content:start;
+  gap:6px;
+  min-width:0;
+  font-size:11px;
+  display:grid}
+.dcf-calculator input,.dcf-calculator select {
+  border:1px solid var(--df-line);
+  background:var(--df-field);
+  width:100%;
+  min-width:0;
+  height:39px;
+  color:var(--df-ink);
+  font-variant-numeric:tabular-nums;
+  border-radius:6px;
+  padding:8px 10px;
+  font-family:inherit;
+  font-size:13px}
+.dcf-calculator input:focus,.dcf-calculator select:focus {
+  border-color:var(--df-accent);
+  background:var(--df-paper)}
+.dcf-calculator input::placeholder {
+  color:var(--muted);
+  font-size:11px}
+.dcf-calculator .df-profile-bar {
+  flex-wrap:wrap;
+  align-items:center;
+  gap:8px;
+  display:flex}
+.dcf-calculator .df-company-buttons {
+  flex-wrap:wrap;
+  gap:6px;
+  min-width:0;
+  display:flex}
+.dcf-calculator .df-company-buttons button {
+  color:var(--df-muted);
+  overflow-wrap:anywhere;
+  max-width:100%;
+  padding:7px 13px}
+.dcf-calculator .df-company-buttons button[aria-pressed=true] {
+  background:var(--df-soft);
+  border-color:var(--df-accent-line);
+  color:var(--df-accent);
+  font-weight:600}
+.dcf-calculator [data-new-company] {
+  background:0 0;
+  border-style:dashed}
+.dcf-calculator .df-save-status {
+  color:var(--df-muted);
+  margin-left:auto;
+  font-size:10px}
+.dcf-calculator .df-new-company {
+  flex-wrap:wrap;
+  align-items:end;
+  gap:10px;
+  display:flex}
+.dcf-calculator .df-new-company label {
+  flex:1;
+  min-width:160px}
+.dcf-calculator .df-jumpnav {
+  border-top:1px solid var(--df-line);
+  flex-wrap:wrap;
+  gap:24px;
+  padding-top:12px;
+  display:flex}
+.dcf-calculator .df-jumpnav button {
+  color:var(--df-muted);
+  background:0 0;
+  border:0;
+  padding:0;
+  font-size:11px}
+.dcf-calculator .df-jumpnav button:first-child {
+  color:var(--df-accent);
+  font-weight:600}
+.dcf-calculator .df-jumpnav button:hover {
+  color:var(--df-accent);
+  text-decoration:underline}
+.dcf-calculator .df-overview {
+  grid-template-columns:minmax(240px,1.05fr) minmax(0,2.2fr);
+  align-items:stretch;
+  gap:14px;
+  display:grid}
+.dcf-calculator .df-output {
+  min-width:0}
+.dcf-calculator .df-hero {
+  color:var(--df-ink);
+  background:var(--df-soft);
+  border-radius:11px;
+  height:100%;
+  padding:22px 24px}
+.dcf-calculator .df-hero .df-muted {
+  color:var(--df-muted)}
+.dcf-calculator .df-number {
+  letter-spacing:-1.8px;
+  font-variant-numeric:tabular-nums;
+  overflow-wrap:anywhere;
+  margin:8px 0 3px;
+  font-size:45px;
+  font-weight:500;
+  line-height:1.25}
+.dcf-calculator .df-value-note {
+  color:var(--df-muted);
+  border-top:1px solid var(--df-accent-line);
+  margin-top:16px;
+  padding-top:12px;
+  font-size:10px}
+.dcf-calculator .df-value-note b {
+  color:var(--df-accent);
+  letter-spacing:-.4px;
+  margin-left:7px;
+  font-size:19px;
+  font-weight:500}
+.dcf-calculator [data-shares-note] {
+  margin-top:4px}
+.dcf-calculator .df-top-comparison {
+  border:1px solid var(--df-line);
+  background:var(--df-paper);
+  border-radius:11px;
+  grid-template-columns:repeat(3,minmax(0,1fr));
+  gap:0;
+  padding:22px 0;
+  display:grid}
+.dcf-calculator .df-top-comparison>div {
+  min-width:0;
+  padding:0 18px}
+.dcf-calculator .df-top-comparison>div+div {
+  border-left:1px solid var(--df-line)}
+.dcf-calculator .df-top-comparison h3 {
+  color:var(--df-muted);
+  min-height:36px;
+  font-size:11px;
+  font-weight:500}
+.dcf-calculator .df-top-return-value,.dcf-calculator .df-market-price {
+  letter-spacing:-.8px;
+  font-variant-numeric:tabular-nums;
+  overflow-wrap:anywhere;
+  font-size:29px;
+  font-weight:500;
+  line-height:1.4}
+.dcf-calculator .df-top-return-value {
+  color:var(--df-accent);
+  margin:5px 0 8px}
+.dcf-calculator .df-price-readout {
+  flex-wrap:wrap;
+  align-items:baseline;
+  gap:5px;
+  margin:5px 0 8px;
+  display:flex}
+.dcf-calculator .df-zone-badge {
+  white-space:nowrap;
+  border-radius:4px;
+  padding:1px 5px;
+  font-size:10px}
+.dcf-calculator .df-zone-badge[data-zone=低估] {
+  background:var(--df-low);
+  color:var(--df-good)}
+.dcf-calculator .df-zone-badge[data-zone=合理] {
+  background:var(--df-fair);
+  color:var(--df-fair-ink)}
+.dcf-calculator .df-zone-badge[data-zone=高估] {
+  background:var(--df-high);
+  color:var(--df-high-ink)}
+.dcf-calculator .df-decision {
+  background:var(--df-soft);
+  border:1px solid var(--df-accent-line);
+  border-radius:9px;
+  align-items:center;
+  gap:20px;
+  padding:13px 17px;
+  display:flex}
+.dcf-calculator .df-decision>div {
+  flex-wrap:wrap;
+  align-items:baseline;
+  gap:7px;
+  min-width:220px;
+  display:flex}
+.dcf-calculator .df-decision .df-eyebrow {
+  letter-spacing:0;
+  font-size:10px}
+.dcf-calculator .df-decision strong {
+  font-variant-numeric:tabular-nums;
+  font-size:23px;
+  font-weight:500}
+.dcf-calculator .df-decision p {
+  color:var(--df-muted);
+  flex:1;
+  font-size:11px}
+.dcf-calculator .df-decision button {
+  white-space:nowrap;
+  background:0 0;
+  border:0}
+.dcf-calculator .df-decision[data-ok=false] {
+  background:var(--df-warning-bg);
+  border-color:var(--df-line)}
+.dcf-calculator .df-market {
+  border:1px solid var(--df-line);
+  background:var(--df-paper);
+  border-radius:11px;
+  padding:20px 22px}
+.dcf-calculator .df-market-head {
+  justify-content:space-between;
+  align-items:center;
+  gap:18px;
+  display:flex}
+.dcf-calculator .df-market h3 {
+  margin:3px 0}
+.dcf-calculator .df-price-fields {
+  grid-template-columns:150px 150px;
+  gap:10px;
+  display:grid}
+.dcf-calculator .df-price-chart {
+  width:100%;
+  min-width:0;
+  height:180px;
+  overflow:hidden}
+.dcf-calculator .df-zone-keys {
+  grid-template-columns:repeat(3,minmax(0,1fr));
+  gap:12px;
+  display:grid}
+.dcf-calculator .df-zone-key {
+  background:var(--df-field);
+  border-radius:5px;
+  justify-content:space-between;
+  align-items:center;
+  gap:8px;
+  padding:8px 12px;
+  font-size:10px;
+  display:flex}
+.dcf-calculator .df-zone-key:nth-child(2) {
+  background:var(--df-field)}
+.dcf-calculator .df-zone-key:nth-child(3) {
+  background:var(--df-field)}
+.dcf-calculator .df-zone-key strong {
+  font-variant-numeric:tabular-nums;
+  font-size:11px;
+  font-weight:500}
+.dcf-calculator .df-zone-dot {
+  background:var(--df-good);
+  border-radius:50%;
+  width:5px;
+  height:5px;
+  margin-right:6px;
+  display:inline-block}
+.dcf-calculator .df-zone-key:nth-child(2) .df-zone-dot {
+  background:var(--df-fair-ink)}
+.dcf-calculator .df-zone-key:nth-child(3) .df-zone-dot {
+  background:var(--df-high-ink)}
+.dcf-calculator .df-interval-rule {
+  border-top:1px solid var(--df-line);
+  justify-content:space-between;
+  align-items:start;
+  gap:16px;
+  margin-top:14px;
+  padding-top:12px;
+  display:flex}
+.dcf-calculator .df-interval-rule>span {
+  font-size:10px}
+.dcf-calculator .df-interval-rule details {
+  border:0;
+  min-width:90px;
+  padding:0}
+.dcf-calculator .df-interval-fields {
+  max-width:320px;
+  margin-top:12px}
+.dcf-calculator .df-market-message {
+  margin-top:12px}
+.dcf-calculator .df-layout {
+  grid-template-columns:minmax(0,1fr) minmax(0,1.25fr);
+  align-items:start;
+  gap:20px;
+  display:grid}
+.dcf-calculator .df-form,.dcf-calculator .df-analysis {
+  border:1px solid var(--df-line);
+  background:var(--df-paper);
+  border-radius:11px;
+  min-width:0;
+  padding:20px}
+.dcf-calculator .df-form {
+  gap:22px;
+  display:grid}
+.dcf-calculator .df-form>section+section,.dcf-calculator .df-results {
+  border-top:1px solid var(--df-line);
+  padding-top:20px}
+.dcf-calculator .df-column-heading {
+  align-items:center;
+  gap:10px;
+  display:flex}
+.dcf-calculator .df-column-heading>span {
+  width:29px;
+  height:29px;
+  color:var(--df-accent);
+  border:1px solid var(--df-accent-line);
+  border-radius:50%;
+  place-items:center;
+  font-size:10px;
+  display:grid}
+.dcf-calculator .df-column-heading p {
+  color:var(--df-muted);
+  margin-top:2px;
+  font-size:10px}
+.dcf-calculator .df-column-heading>b {
+  letter-spacing:1px;
+  color:var(--df-muted);
+  margin-left:auto;
+  font-size:10px;
+  font-weight:500}
+.dcf-calculator .df-section-head {
+  justify-content:space-between;
+  align-items:center;
+  gap:10px;
+  margin-bottom:12px;
+  display:flex}
+.dcf-calculator .df-section-head h3 {
+  font-size:12px}
+.dcf-calculator .df-fields {
+  grid-template-columns:repeat(2,minmax(0,1fr));
+  gap:12px;
+  display:grid}
+.dcf-calculator .df-share-field small {
+  font-size:10px}
+.dcf-calculator .df-stages {
+  gap:8px;
+  display:grid}
+.dcf-calculator .df-stage-row {
+  background:var(--df-field);
+  border:1px solid var(--df-line);
+  border-radius:7px;
+  grid-template-columns:minmax(55px,1fr) 65px minmax(70px,1fr) 22px;
+  align-items:center;
+  gap:8px;
+  padding:10px;
+  display:grid}
+.dcf-calculator .df-stage-row input {
+  background:var(--df-paper);
+  height:34px;
+  padding:6px}
+.dcf-calculator .df-stage-row button {
+  color:var(--df-muted);
+  background:0 0;
+  border:0;
+  padding:2px;
+  font-size:17px}
+.dcf-calculator .df-stage-name {
+  font-size:11px}
+.dcf-calculator .df-stage-name small {
+  color:var(--df-muted);
+  font-size:9px;
+  display:block}
+.dcf-calculator .df-stage-key {
+  color:var(--df-muted);
+  font-size:10px}
+.dcf-calculator .df-total {
+  margin-top:8px;
+  font-size:10px}
+.dcf-calculator .df-result-line {
+  justify-content:space-between;
+  align-items:baseline;
+  gap:10px;
+  padding:8px 0;
+  font-size:11px;
+  display:flex}
+.dcf-calculator .df-result-line span {
+  min-width:0}
+.dcf-calculator .df-result-line b {
+  font-variant-numeric:tabular-nums;
+  white-space:nowrap;
+  font-weight:500}
+.dcf-calculator .df-result-line.df-sum {
+  border-top:1px solid var(--df-line);
+  margin-top:4px;
+  padding-top:10px}
+.dcf-calculator .df-composition {
+  background:var(--df-line);
+  border-radius:3px;
+  gap:2px;
+  height:6px;
+  margin:15px 0 8px;
+  display:flex;
+  overflow:hidden}
+.dcf-calculator .df-segment-a {
+  background:var(--df-accent)}
+.dcf-calculator .df-segment-b {
+  background:var(--df-chart-secondary)}
+.dcf-calculator .df-legend {
+  color:var(--df-muted);
+  justify-content:space-between;
+  margin-bottom:4px;
+  font-size:10px;
+  display:flex}
+.dcf-calculator .df-crosscheck {
+  min-width:0}
+.dcf-calculator .df-cross-shared {
+  background:var(--df-field);
+  border-radius:5px;
+  margin:16px 0;
+  padding:8px 10px;
+  font-size:10px}
+.dcf-calculator details {
+  border:0;
+  padding:0}
+.dcf-calculator summary {
+  color:var(--df-accent);
+  cursor:pointer;
+  font-size:11px}
+.dcf-calculator .df-cross-inputs>summary {
+  margin-bottom:13px}
+.dcf-calculator .df-cross-inputs>summary span {
+  margin-left:6px;
+  font-size:10px}
+.dcf-calculator .df-cross-grid {
+  grid-template-columns:minmax(0,1fr) minmax(0,1fr);
+  align-items:start;
+  gap:16px;
+  display:grid}
+.dcf-calculator .df-cross-grid>* {
+  min-width:0}
+.dcf-calculator .df-cross-bridge {
+  background:var(--df-soft);
+  border-radius:6px;
+  gap:10px;
+  margin-top:12px;
+  padding:12px;
+  display:grid}
+.dcf-calculator .df-cross-derived {
+  gap:6px;
+  font-size:11px;
+  display:grid}
+.dcf-calculator .df-cross-derived b {
+  font-size:18px;
+  font-weight:500}
+.dcf-calculator .df-cross-profit,.dcf-calculator .df-cross-growth {
+  margin-top:12px}
+.dcf-calculator .df-cross-source-note {
+  margin-top:7px;
+  font-size:10px}
+.dcf-calculator .df-cross-pe {
+  grid-template-columns:repeat(3,minmax(0,1fr));
+  gap:6px;
+  margin-top:12px;
+  display:grid}
+.dcf-calculator .df-cross-pe label {
+  font-size:10px}
+.dcf-calculator .df-cross-pe input {
+  padding:8px}
+.dcf-calculator .df-cross-pe label:nth-child(2) input {
+  background:var(--df-field);
+  border-color:var(--df-accent-line)}
+.dcf-calculator .df-cross-pe-note {
+  margin-top:10px;
+  font-size:10px}
+.dcf-calculator .df-cross-advanced {
+  border-top:1px solid var(--df-line);
+  margin-top:16px;
+  padding-top:13px}
+.dcf-calculator .df-cross-advanced .df-fields {
+  grid-template-columns:repeat(3,minmax(0,1fr));
+  margin-top:12px}
+.dcf-calculator .df-cross-results {
+  gap:22px;
+  margin-top:22px;
+  display:grid}
+.dcf-calculator .df-cross-results>* {
+  min-width:0}
+.dcf-calculator .df-cross-joint {
+  background:var(--df-soft);
+  border:1px solid var(--df-accent-line);
+  border-radius:8px;
+  padding:16px}
+.dcf-calculator .df-cross-joint-grid {
+  grid-template-columns:repeat(3,minmax(0,1fr));
+  gap:10px;
+  margin-bottom:10px;
+  display:grid}
+.dcf-calculator .df-cross-joint-grid>div {
+  gap:5px;
+  font-size:10px;
+  display:grid}
+.dcf-calculator .df-cross-joint-grid b {
+  letter-spacing:-.5px;
+  font-variant-numeric:tabular-nums;
+  overflow-wrap:anywhere;
+  font-size:21px;
+  font-weight:500}
+.dcf-calculator .df-cross-joint-grid>div:last-child {
+  color:var(--df-accent);
+  border-left:1px solid var(--df-accent-line);
+  padding-left:10px}
+.dcf-calculator .df-cross-joint .df-muted {
+  font-size:10px}
+.dcf-calculator .df-scenario-grid {
+  grid-template-columns:repeat(3,minmax(0,1fr));
+  gap:8px;
+  display:grid}
+.dcf-calculator .df-scenario-card {
+  border:1px solid var(--df-line);
+  background:var(--df-field);
+  border-radius:7px;
+  gap:8px;
+  min-width:0;
+  padding:12px 10px;
+  display:grid}
+.dcf-calculator .df-scenario-card[data-base=true] {
+  background:var(--df-soft);
+  border-color:var(--df-accent-line)}
+.dcf-calculator .df-scenario-card>span:first-child {
+  color:var(--df-muted);
+  font-size:10px}
+.dcf-calculator .df-scenario-card strong {
+  font-variant-numeric:tabular-nums;
+  letter-spacing:-.8px;
+  overflow-wrap:anywhere;
+  font-size:24px;
+  font-weight:500}
+.dcf-calculator .df-scenario-card small {
+  color:var(--df-muted);
+  font-size:10px}
+.dcf-calculator .df-scenario-status {
+  color:var(--df-high-ink);
+  font-size:10px}
+.dcf-calculator .df-scenario-card[data-ok=true] .df-scenario-status {
+  color:var(--df-good)}
+.dcf-calculator .df-cross-sensitivity .df-section-head {
+  margin-bottom:0}
+.dcf-calculator .df-cross-sensitivity th:nth-child(3),.dcf-calculator .df-cross-sensitivity td:nth-child(3) {
+  background:var(--df-field)}
+.dcf-calculator .df-cross-prices {
+  border-top:1px solid var(--df-line);
+  padding-top:16px}
+.dcf-calculator .df-cross-prices>.df-section-head {
+  margin-top:16px}
+.dcf-calculator .df-cross-checks {
+  grid-template-columns:repeat(2,minmax(0,1fr));
+  gap:10px;
+  margin-top:16px;
+  display:grid}
+.dcf-calculator .df-cross-checks>div {
+  border:1px solid var(--df-line);
+  border-radius:6px;
+  padding:12px;
+  font-size:11px}
+.dcf-calculator .df-cross-checks strong {
+  margin-top:5px;
+  font-size:11px;
+  display:block}
+.dcf-calculator .df-cross-checks p {
+  margin-top:5px}
+.dcf-calculator .df-cross-verdict {
+  color:var(--df-fair-ink);
+  background:var(--df-warning-bg);
+  border-radius:6px;
+  margin-top:12px;
+  padding:12px;
+  font-size:11px}
+.dcf-calculator .df-cross-table-note {
+  margin-top:10px;
+  font-size:10px}
+.dcf-calculator .df-cross-tag {
+  color:var(--df-fair-ink);
+  background:var(--df-fair);
+  border-radius:4px;
+  padding:2px 6px;
+  font-size:10px;
+  display:inline-block}
+.dcf-calculator .df-cross-tag[data-ok=true] {
+  background:var(--df-low);
+  color:var(--df-good)}
+.dcf-calculator .df-table-wrap {
+  max-width:100%;
+  margin-top:12px;
+  overflow-x:auto}
+.dcf-calculator table {
+  border-collapse:collapse;
+  white-space:nowrap;
+  font-variant-numeric:tabular-nums;
+  width:100%;
+  font-size:10px}
+.dcf-calculator th,.dcf-calculator td {
+  text-align:right;
+  border-bottom:1px solid var(--df-line);
+  padding:10px 8px}
+.dcf-calculator th {
+  color:var(--df-muted);
+  background:var(--df-field);
+  font-weight:400}
+.dcf-calculator th:first-child,.dcf-calculator td:first-child {
+  text-align:left}
+.dcf-calculator .df-table-section {
+  border:1px solid var(--df-line);
+  background:var(--df-paper);
+  border-radius:9px;
+  padding:17px 20px}
+.dcf-calculator .df-foot {
+  color:var(--df-muted);
+  flex-wrap:wrap;
+  justify-content:space-between;
+  gap:8px;
+  font-size:10px;
+  display:flex}
+.dcf-calculator .df-note {
+  border-top:1px solid var(--df-line);
+  padding-top:14px;
+  font-size:10px}
+.dcf-calculator .df-error {
+  color:var(--df-error);
+  background:var(--df-error-bg);
+  border:1px solid var(--df-high);
+  border-radius:7px;
+  padding:12px 14px;
+  font-size:12px}
+.dcf-calculator .df-warning {
+  color:var(--df-fair-ink);
+  background:var(--df-warning-bg);
+  border-radius:7px;
+  padding:12px 14px;
+  font-size:12px}
+@media (width>=1500px) {
+  .tools-layout .content:has(.dcf-calculator) {
+  max-width:1280px}
+}
+@media (width<=1200px) {
+  .dcf-calculator {
+  padding:22px}
+.dcf-calculator .df-overview {
+  grid-template-columns:1fr}
+.dcf-calculator .df-hero {
+  grid-template-columns:1fr 1fr;
+  column-gap:20px;
+  display:grid}
+.dcf-calculator .df-hero>.df-muted:first-child {
+  grid-column:1}
+.dcf-calculator .df-number {
+  grid-area:2/1}
+.dcf-calculator .df-hero>.df-muted:nth-child(3) {
+  grid-column:1}
+.dcf-calculator .df-value-note {
+  border-top:0;
+  border-left:1px solid var(--df-accent-line);
+  grid-area:1/2/4;
+  align-self:center;
+  margin:0;
+  padding:10px 0 10px 24px}
+.dcf-calculator .df-top-comparison h3 {
+  min-height:0}
+.dcf-calculator .df-layout {
+  grid-template-columns:1fr}
+.dcf-calculator .df-cross-grid {
+  gap:24px}
+.dcf-calculator .df-top-comparison {
+  padding:18px 0}
+}
+@media (width<=680px) {
+  .dcf-calculator {
+  border-radius:10px;
+  gap:16px;
+  padding:16px}
+.dcf-calculator .df-header-mark {
+  display:none}
+.dcf-calculator h2 {
+  font-size:24px}
+.dcf-calculator .df-save-status {
+  width:100%;
+  margin-left:0}
+.dcf-calculator .df-jumpnav {
+  gap:15px}
+.dcf-calculator .df-jumpnav button {
+  font-size:10px}
+.dcf-calculator .df-decision {
+  flex-wrap:wrap;
+  gap:8px}
+.dcf-calculator .df-decision>div {
+  min-width:0}
+.dcf-calculator .df-decision p {
+  flex:100%;
+  order:3}
+.dcf-calculator .df-decision button {
+  margin-left:auto}
+.dcf-calculator .df-market-head {
+  flex-wrap:wrap}
+.dcf-calculator .df-price-fields {
+  grid-template-columns:repeat(2,minmax(0,1fr));
+  width:100%}
+.dcf-calculator .df-market {
+  padding:16px}
+.dcf-calculator .df-zone-key {
+  gap:3px;
+  padding:8px;
+  display:grid}
+.dcf-calculator .df-zone-key strong {
+  font-size:10px}
+.dcf-calculator .df-interval-rule {
+  flex-wrap:wrap}
+.dcf-calculator .df-form,.dcf-calculator .df-analysis {
+  padding:16px}
+.dcf-calculator .df-top-comparison>div {
+  padding:0 12px}
+.dcf-calculator .df-top-return-value,.dcf-calculator .df-market-price {
+  font-size:26px}
+}
+@media (width<=460px) {
+  .dcf-calculator .df-hero {
+  padding:20px;
+  display:block}
+.dcf-calculator .df-value-note {
+  border-top:1px solid var(--df-accent-line);
+  border-left:0;
+  margin-top:16px;
+  padding:12px 0 0}
+.dcf-calculator .df-top-comparison {
+  grid-template-columns:repeat(2,minmax(0,1fr));
+  gap:16px;
+  padding:16px 0}
+.dcf-calculator .df-top-comparison>div:first-child {
+  border-bottom:1px solid var(--df-line);
+  grid-column:1/-1;
+  padding-bottom:12px}
+.dcf-calculator .df-top-comparison>div:nth-child(2) {
+  border-left:0}
+.dcf-calculator .df-cross-grid {
+  grid-template-columns:1fr;
+  gap:16px}
+.dcf-calculator .df-cross-pe {
+  gap:10px}
+.dcf-calculator .df-cross-checks,.dcf-calculator .df-cross-advanced .df-fields {
+  grid-template-columns:1fr}
+.dcf-calculator .df-stage-row {
+  grid-template-columns:minmax(48px,1fr) 52px minmax(65px,1fr) 20px;
+  gap:6px;
+  padding:8px}
+.dcf-calculator input,.dcf-calculator select {
+  font-size:16px}
+.dcf-calculator .df-scenario-grid {
+  gap:6px}
+.dcf-calculator .df-scenario-card {
+  padding:10px 8px}
+.dcf-calculator .df-scenario-card strong {
+  font-size:21px}
+.dcf-calculator .df-cross-joint-grid {
+  gap:8px}
+.dcf-calculator .df-cross-joint-grid b {
+  font-size:19px}
+.dcf-calculator .df-cross-inputs>summary span {
+  margin-left:14px;
+  display:block}
+}
+@media (prefers-reduced-motion:reduce) {
+  .dcf-calculator * {
+  transition:none!important}
+}
+
+
+/* Annual cash-flow chart remains visible below the collapsible detail table. */
+.dcf-calculator .df-cashflow-section {padding:20px;background:var(--df-paper);border:1px solid var(--df-line);border-radius:11px;min-width:0;}
+.dcf-calculator .df-cashflow-section .df-section-head {align-items:start;flex-wrap:wrap;}
+.dcf-calculator .df-cashflow-section h3 {margin-bottom:4px;}
+.dcf-calculator .df-cashflow-chart {height:320px;width:100%;min-width:0;}
+@media(max-width:560px){.dcf-calculator .df-cashflow-section{padding:16px;}.dcf-calculator .df-cashflow-chart{height:280px;}}
+
+/* Deletion appears only after dwelling on a company for three seconds. */
+.dcf-calculator .df-company-buttons {gap:10px;}
+.dcf-calculator .df-company-chip {position:relative;display:inline-flex;min-width:0;max-width:100%;}
+.dcf-calculator .df-company-buttons .df-company-delete {position:absolute;top:-7px;right:-7px;display:grid;place-items:center;width:20px;height:20px;padding:0;border:1px solid var(--df-accent-line);border-radius:50%;background:var(--df-paper);color:var(--df-muted);font-size:16px;line-height:1;z-index:1;opacity:0;visibility:hidden;transition:opacity .15s,visibility 0s;}
+.dcf-calculator .df-company-chip:is(:hover,:focus-within) .df-company-delete {opacity:1;visibility:visible;transition:opacity .15s 3s,visibility 0s 3s;}
+.dcf-calculator .df-company-buttons .df-company-delete:hover {color:var(--df-error);border-color:var(--df-error);background:var(--df-error-bg);}
+.dcf-calculator .df-company-empty {padding:28px 20px;border:1px dashed var(--df-line);border-radius:10px;color:var(--df-muted);text-align:center;}
+.dcf-calculator[data-empty="true"] :is(.df-jumpnav,.df-overview,.df-decision,.df-market,.df-layout,.df-table-section,.df-cashflow-section,.df-foot,.df-note,.df-error,.df-warning) {display:none!important;}
+@media(hover:none){.dcf-calculator .df-company-buttons .df-company-delete{opacity:1;visibility:visible;transition:none;}}
+@media(prefers-reduced-motion:reduce) and (hover:hover){.dcf-calculator .df-company-chip:is(:hover,:focus-within) .df-company-delete{transition:visibility 0s 3s!important;}}

css/style.css

@@ -24,27 +24,14 @@ button {
   cursor: pointer;
 }
 
-.app-header {
-  min-height: 76px;
-  padding: 16px 28px;
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  gap: 24px;
-  background: var(--surface);
-  border-bottom: 1px solid var(--line);
-}
-
-.app-brand h1,
-.app-brand p,
 .card-title,
 .sidebar-title { margin: 0; }
 
-.app-brand h1 { font-size: 21px; font-weight: 600; }
-.app-brand p { margin-top: 4px; color: var(--muted); font-size: 13px; }
-
 .reload-button,
-.export-button {
+.export-button,
+.cart-button,
+.cart-export-button,
+.primary-button {
   padding: 7px 13px;
   border: 1px solid var(--line);
   border-radius: 6px;
@@ -53,13 +40,223 @@ button {
 }
 
 .reload-button {
+  position: fixed;
+  top: 16px;
+  right: 18px;
+  z-index: 10;
+  width: 36px;
+  height: 36px;
+  padding: 0;
+  display: grid;
+  place-items: center;
+  color: #fff;
+  background: var(--accent);
+  border-color: var(--accent);
+  border-radius: 50%;
+}
+
+/* 图标继承按钮的 color（currentColor），尺寸只在这里定义，换图标不用动 JS。
+   20px 是配 36px 圆钮的光学最优值：新图标的弧线比原 ↻ 字形细，19px 会显轻。 */
+.reload-button .reload-icon {
+  display: block;
+  width: 20px;
+  height: 20px;
+  fill: currentColor;
+}
+
+/* 悬停转一圈：刷新语义的标准反馈，比原先 ↻ 字形的 -45° 倾斜更贴合新图标 */
+.reload-button:hover { opacity: .88; }
+.reload-button:hover .reload-icon { animation: reload-spin .6s ease-in-out; }
+
+@keyframes reload-spin {
+  from { transform: rotate(0deg); }
+  to   { transform: rotate(360deg); }
+}
+
+@media (prefers-reduced-motion: reduce) {
+  .reload-button:hover .reload-icon { animation: none; }
+}
+.export-button:hover { color: var(--accent); border-color: var(--accent); }
+
+/* ── 合并队列（购物车）────────────────────────────── */
+
+.cart-button { font-size: 12px; }
+.cart-button:hover { color: var(--accent); border-color: var(--accent); }
+.cart-button[data-in-cart="true"] {
   color: #fff;
   background: var(--accent);
   border-color: var(--accent);
 }
 
-.reload-button:hover { opacity: .88; }
+.cart-bar[hidden] { display: none; }
-.export-button:hover { color: var(--accent); border-color: var(--accent); }
+
+.cart-bar {
+  position: fixed;
+  left: 50%;
+  bottom: 18px;
+  transform: translateX(-50%);
+  z-index: 20;
+  display: flex;
+  align-items: center;
+  gap: 10px;
+  max-width: min(1160px, calc(100vw - 32px));
+  padding: 9px 12px;
+  background: rgba(255, 255, 255, .97);
+  border: 1px solid var(--line);
+  border-radius: 12px;
+  box-shadow: 0 6px 24px rgba(0, 0, 0, .12);
+}
+
+.cart-label {
+  color: var(--muted);
+  font-size: 12px;
+  font-weight: 600;
+  white-space: nowrap;
+}
+
+.cart-chips {
+  display: flex;
+  gap: 6px;
+  max-width: 44vw;
+  overflow-x: auto;
+  scrollbar-width: none;
+}
+.cart-chips::-webkit-scrollbar { display: none; }
+
+.cart-chip {
+  display: flex;
+  align-items: center;
+  flex: 0 0 auto;
+  gap: 2px;
+  padding: 3px 4px 3px 10px;
+  background: var(--accent-soft);
+  border-radius: 6px;
+}
+
+.cart-chip-name {
+  max-width: 150px;
+  overflow: hidden;
+  color: var(--ink);
+  font-size: 12px;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+.cart-chip-button {
+  padding: 2px 4px;
+  border: 0;
+  border-radius: 4px;
+  background: transparent;
+  color: var(--muted);
+  font-size: 12px;
+  line-height: 1.4;
+}
+.cart-chip-button:hover:not(:disabled) { color: var(--accent); }
+.cart-chip-button:disabled { opacity: .3; cursor: default; }
+
+.cart-divider { width: 1px; height: 22px; background: var(--line); }
+
+.cart-modes {
+  display: flex;
+  flex: 0 0 auto;
+  padding: 2px;
+  background: #f4f2ee;
+  border-radius: 6px;
+}
+
+.cart-mode-button {
+  padding: 4px 8px;
+  border: 0;
+  border-radius: 5px;
+  background: transparent;
+  color: var(--muted);
+  font-size: 12px;
+  white-space: nowrap;
+}
+.cart-mode-button[data-active="true"] {
+  color: var(--accent);
+  background: var(--surface);
+  box-shadow: 0 1px 2px rgba(0, 0, 0, .08);
+}
+
+.cart-export-button { color: #fff; background: var(--accent); border-color: var(--accent); white-space: nowrap; }
+.cart-export-button:hover { opacity: .9; }
+.cart-clear-button { padding: 7px 8px; border: 0; background: transparent; color: var(--muted); font-size: 12px; white-space: nowrap; }
+.cart-clear-button:hover { color: #a63f32; }
+
+/* ── 合并预览弹窗 ────────────────────────────────── */
+
+.modal-overlay {
+  position: fixed;
+  inset: 0;
+  z-index: 30;
+  display: grid;
+  place-items: center;
+  padding: 24px;
+  background: rgba(51, 51, 51, .45);
+}
+
+.modal {
+  display: flex;
+  flex-direction: column;
+  max-width: min(860px, 100%);
+  max-height: calc(100vh - 48px);
+  background: var(--surface);
+  border-radius: 12px;
+  overflow: hidden;
+}
+
+.modal-head {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  padding: 12px 16px;
+  border-bottom: 1px solid var(--line);
+}
+
+.modal-title { margin: 0; font-size: 14px; }
+.modal-notice { color: #a67c2b; font-size: 12px; }
+
+.modal-close {
+  margin-left: auto;
+  padding: 2px 8px;
+  border: 0;
+  background: transparent;
+  color: var(--muted);
+  font-size: 16px;
+}
+.modal-close:hover { color: var(--ink); }
+
+.modal-body {
+  display: grid;
+  gap: 20px;
+  overflow-y: auto;
+  padding: 16px;
+}
+
+.preview-item {
+  display: grid;
+  gap: 10px;
+  justify-items: center;
+}
+
+.preview-canvas {
+  max-width: 100%;
+  height: auto;
+  border: 1px solid var(--line);
+  border-radius: 6px;
+}
+
+.modal-foot {
+  display: flex;
+  justify-content: flex-end;
+  gap: 10px;
+  padding: 12px 16px;
+  border-top: 1px solid var(--line);
+}
+
+.primary-button { color: #fff; background: var(--accent); border-color: var(--accent); }
+.primary-button:hover { opacity: .9; }
 
 .app-layout {
   display: grid;
@@ -67,7 +264,7 @@ button {
   gap: 24px;
   max-width: 1600px;
   margin: 0 auto;
-  padding: 28px 24px 64px;
+  padding: 20px 24px 64px;
 }
 
 .sidebar {
@@ -126,27 +323,109 @@ button {
 
 .content { min-width: 0; }
 
+/* ── 页头：tab 栏 + 参数行 ─────────────────────────
+   sticky 只挂在容器上，里面两行一起钉住。底色比过去（.6）更实、并加一层模糊：
+   现在压在卡片上方的是两行内容，透过去的字会干扰读数。 */
+.tab-header {
+  position: sticky;
+  top: 20px;
+  z-index: 5;
+  margin-bottom: 18px;
+  padding: 5px;
+  background: rgba(255, 255, 255, .82);
+  border: 1px solid var(--line);
+  border-radius: 9px;
+  backdrop-filter: blur(10px);
+}
+
 .tabs {
   display: flex;
   flex-wrap: wrap;
   gap: 6px;
-  margin-bottom: 18px;
-  padding: 5px;
-  background: rgba(255, 255, 255, .6);
-  border: 1px solid var(--line);
-  border-radius: 9px;
 }
 
 .tab-button { padding: 7px 11px; }
 
+/* ── tab 级参数控件（现价） ─────────────────────────
+   独立一行，贴在 tab 栏下沿；一条虚线分隔说明「这不是导航，是改口径的输入」。
+   没有参数的 tab 会被 JS 置 hidden，此时整行（含分隔线）不占位。 */
+
+.tab-controls {
+  display: flex;
+  flex-wrap: wrap;
+  align-items: center;
+  gap: 6px;
+  margin-top: 5px;
+  padding: 6px 3px 1px;
+  border-top: 1px dashed var(--line);
+}
+
+/* hidden 属性会被上面的 display:flex 盖掉，显式收回来 */
+.tab-controls[hidden] { display: none; }
+
+.param-field {
+  display: flex;
+  align-items: baseline;
+  gap: 5px;
+  padding: 4px 8px;
+  background: #f4f2ee;
+  border: 1px solid transparent;
+  border-radius: 6px;
+  transition: border-color .15s, background .15s;
+}
+.param-field:hover { border-color: var(--line); }
+.param-field:focus-within { background: var(--surface); border-color: var(--accent); }
+
+.param-label { color: var(--muted); font-size: 12px; white-space: nowrap; }
+
+/* 输入框只留一条下划线：数字是这里的主角，不要给它加边框抢视线 */
+.param-input {
+  width: 94px;
+  padding: 1px 2px;
+  border: 0;
+  border-bottom: 1px solid var(--line);
+  background: transparent;
+  color: var(--ink);
+  font: inherit;
+  font-size: 13px;
+  font-variant-numeric: tabular-nums;
+  font-weight: 600;
+  text-align: right;
+}
+.param-input:focus { outline: none; border-bottom-color: var(--accent); }
+.param-input[data-invalid="true"] { color: #a63f32; border-bottom-color: #a63f32; }
+/* 上下箭头在 Chrome 里只在悬停/聚焦时出现，保留（步进 1 元比手敲快） */
+.param-input::-webkit-inner-spin-button { opacity: .45; }
+
+.param-unit { color: var(--muted); font-size: 12px; }
+
+/* 合法区间常驻：输入越界时它变红，不用猜上下限 */
+.param-range { color: var(--muted); font-size: 11px; white-space: nowrap; }
+.param-input[data-invalid="true"] ~ .param-range { color: #a63f32; }
+
+.param-reset {
+  padding: 5px 8px;
+  border: 1px solid transparent;
+  border-radius: 6px;
+  background: transparent;
+  color: var(--muted);
+  font-size: 12px;
+  white-space: nowrap;
+}
+.param-reset:hover:not(:disabled) { color: var(--accent); border-color: var(--line); }
+.param-reset:disabled { opacity: .35; cursor: default; }
+
 .cards { display: grid; gap: 28px; }
 
+/* scroll-margin-top = 页头底边（sticky top 20 + 页头实测高 89）+ 18px 呼吸：
+   页头是 tab 栏 + 参数行两行，比过去的单行 tab 栏高约 43px，锚点跳转时标题才不会被盖住。
+   页头高度会随 tab 换行浮动，这里按单行 tab 的最常见形态取值。 */
 .card {
   overflow: hidden;
   background: var(--surface);
   border-radius: 10px;
   box-shadow: 0 1px 3px rgba(0, 0, 0, .06);
-  scroll-margin-top: 20px;
+  scroll-margin-top: 128px;
 }
 
 .card-bar {
@@ -201,19 +480,106 @@ button {
   .chart-sidebar { display: none; }
 }
 
-@media (max-width: 720px) {
+@media (max-width: 880px) {
-  .app-header { padding: 14px 16px; }
+  .app-layout { display: block; padding: 0 12px 40px; }
-  .app-brand p { display: none; }
+  .sidebar { margin-bottom: 12px; }
-  .app-layout { display: block; padding: 16px 12px 40px; }
+  .company-sidebar {
-  .sidebar { position: static; margin-bottom: 12px; }
+    position: sticky;
-  .company-sidebar { padding: 7px; }
+    top: 0;
+    z-index: 7;
+    margin: 0 -12px;
+    padding: 7px 12px;
+    border-width: 0 0 1px;
+    border-radius: 0;
+    background: rgba(245, 244, 241, .96);
+    backdrop-filter: blur(10px);
+  }
   .company-sidebar .sidebar-title { display: none; }
   .company-list { display: flex; overflow-x: auto; }
+  /* 隐藏横向滚动条（与 .tabs 同处理）：classic 滚动条会占掉 15px 高度，
+     把贴在公司栏下方的页头压住 —— 而页头的 sticky top 是写死的 50px。 */
+  .company-list { scrollbar-width: none; }
+  .company-list::-webkit-scrollbar { display: none; }
   .company-button { flex: 0 0 auto; width: auto; }
-  .tabs { overflow-x: auto; flex-wrap: nowrap; }
+  .tab-header {
+    top: 50px;
+    z-index: 6;
+    margin: 0 -12px 18px;
+    padding: 5px 12px 7px;
+    border-width: 0 0 1px;
+    border-radius: 0;
+    background: rgba(245, 244, 241, .96);
+  }
+  /* tab 按钮多时横向滚动 —— sticky 容器不能自己滚（会把参数行一起带走），
+     所以滚动只加在 .tabs 上，并用负 margin 抵消容器横向 padding 让滚动区撑到屏幕边 */
+  .tabs {
+    overflow-x: auto;
+    overflow-y: hidden;
+    flex-wrap: nowrap;
+    margin: 0 -12px;
+    padding: 0 12px;
+    scrollbar-width: none;
+  }
+  .tabs::-webkit-scrollbar { display: none; }
   .tab-button { flex: 0 0 auto; }
+  /* 参数行自成一行，不再跟 tab 栏抢横向空间：窄屏直接换行，分隔线通到屏幕两边 */
+  .tab-controls { margin: 5px -12px 0; padding: 7px 12px 1px; }
+  /* 公司栏 50 + 页头 91（tab 栏 33 + 参数行 41 及间距）+ 18px 呼吸 */
+  .card { scroll-margin-top: 160px; }
   .card-bar { align-items: flex-start; flex-wrap: wrap; }
-  .export-button { margin-left: auto; }
+  .cart-button { margin-left: auto; }
+  .cart-bar { left: 12px; right: 12px; transform: none; flex-wrap: wrap; }
+  .cart-chips { max-width: none; }
   .chart { min-width: 560px; }
   .card { overflow-x: auto; }
 }
+
+/* 估值工具沿用图表页的纸白与棕色主题。 */
+.tools-title { margin-top: 14px; padding-top: 14px; border-top: 1px solid var(--line); }
+.app-layout.tools-layout { grid-template-columns: 184px minmax(0, 1fr); }
+.tools-layout .content { max-width: 1120px; width: 100%; }
+.chart-sidebar[hidden] { display: none; }
+.return-calculator {
+  display: grid;
+  gap: 22px;
+  min-width: 0;
+  padding: 26px;
+  background: var(--surface);
+  border: 1px solid var(--line);
+  border-radius: 10px;
+}
+.return-calculator [hidden] { display: none !important; }
+.return-calculator h2 { margin: 0 0 10px; font-size: 22px; font-weight: 600; }
+.return-calculator [data-company] { margin-bottom: 6px; font-size: 13px; color: var(--accent); }
+.return-calculator .text-small { font-size: 12px; line-height: 1.8; }
+.return-calculator .text-muted { color: #75716c; }
+.return-calculator .viz-controls { display: grid; grid-template-columns: repeat(3, minmax(0, 1fr)); gap: 18px 16px; }
+.return-calculator .form-label { display: grid; align-content: start; gap: 8px; min-width: 0; font-size: 12px; line-height: 1.6; }
+.return-calculator .form-control,
+.return-calculator .form-select {
+  width: 100%; min-width: 0; padding: 10px 12px; border: 1px solid var(--line);
+  border-radius: 6px; background: #faf9f7; color: var(--ink); font: inherit;
+  font-size: 15px; font-variant-numeric: tabular-nums;
+}
+.return-calculator .form-control:focus,
+.return-calculator .form-select:focus { outline: 2px solid var(--accent-soft); border-color: var(--accent); }
+.return-calculator details { padding: 14px 0; border-top: 1px solid var(--line); border-bottom: 1px solid var(--line); }
+.return-calculator summary { cursor: pointer; font-size: 13px; color: var(--accent); }
+.return-calculator .calc-advanced { padding-top: 20px; }
+.return-calculator .calc-actions { display: flex; align-items: center; flex-wrap: wrap; gap: 12px; }
+.return-calculator .calc-message { margin: 0; }
+.return-calculator .text-destructive { padding: 12px; border-radius: 6px; color: #a63f32; background: #fff1ee; font-size: 13px; }
+.return-calculator .calc-section { display: grid; gap: 12px; min-width: 0; }
+.return-calculator .viz-grid { display: grid; grid-template-columns: repeat(3, minmax(0, 1fr)); gap: 12px; }
+.return-calculator .viz-stat { padding: 18px 14px; border: 1px solid var(--line); box-shadow: none; background: #faf9f7; font-size: 12px; overflow-wrap: anywhere; }
+.return-calculator .viz-stat:first-child { background: var(--accent-soft); border-color: var(--accent-soft); }
+.return-calculator .viz-stat-value { margin-top: 12px; font-size: clamp(18px, 1.7vw, 26px); font-weight: 600; color: var(--accent); font-variant-numeric: tabular-nums; }
+.return-calculator .calc-notes { padding-top: 8px; border-top: 1px solid var(--line); }
+.return-calculator .calc-notes p { margin: 8px 0 0; }
+@media (max-width: 680px) {
+  .return-calculator { padding: 20px 16px; gap: 20px; }
+  .return-calculator h2 { font-size: 20px; }
+  .return-calculator .viz-controls { grid-template-columns: repeat(2, minmax(0, 1fr)); gap: 16px 12px; }
+  .return-calculator .viz-grid { grid-template-columns: 1fr; }
+  .return-calculator .viz-stat-value { font-size: 24px; }
+}

data/brk/brk_holdings.csv

@@ -0,0 +1,76 @@
+year,company,shares
+1988,大都会/ABC（Capital Cities/ABC）,3000000
+1988,房地美（Freddie Mac）,2400000
+1988,盖可保险（GEICO）,6850000
+1988,华盛顿邮报（Washington Post）,1727765
+1988,可口可乐（Coca-Cola）,14172500
+1989,大都会/ABC（Capital Cities/ABC）,3000000
+1989,房地美（Freddie Mac）,2400000
+1989,盖可保险（GEICO）,6850000
+1989,华盛顿邮报（Washington Post）,1727765
+1989,可口可乐（Coca-Cola）,23350000
+1990,大都会/ABC（Capital Cities/ABC）,3000000
+1990,房地美（Freddie Mac）,2400000
+1990,富国银行（Wells Fargo）,5000000
+1990,盖可保险（GEICO）,6850000
+1990,华盛顿邮报（Washington Post）,1727765
+1990,可口可乐（Coca-Cola）,46700000
+1991,大都会/ABC（Capital Cities/ABC）,3000000
+1991,房地美（Freddie Mac）,2495200
+1991,富国银行（Wells Fargo）,5000000
+1991,盖可保险（GEICO）,6850000
+1991,华盛顿邮报（Washington Post）,1727765
+1991,吉列（Gillette）,24000000
+1991,健力士（Guinness）,31247000
+1991,可口可乐（Coca-Cola）,46700000
+1992,大都会/ABC（Capital Cities/ABC）,3000000
+1992,房地美（Freddie Mac）,16196700
+1992,富国银行（Wells Fargo）,6358418
+1992,盖可保险（GEICO）,34250000
+1992,华盛顿邮报（Washington Post）,1727765
+1992,吉列（Gillette）,24000000
+1992,健力士（Guinness）,38335000
+1992,可口可乐（Coca-Cola）,93400000
+1992,通用动力（General Dynamics）,4350000
+1993,大都会/ABC（Capital Cities/ABC）,2000000
+1993,房地美（Freddie Mac）,13654600
+1993,富国银行（Wells Fargo）,6791218
+1993,盖可保险（GEICO）,34250000
+1993,华盛顿邮报（Washington Post）,1727765
+1993,吉列（Gillette）,24000000
+1993,健力士（Guinness）,38335000
+1993,可口可乐（Coca-Cola）,93400000
+1993,通用动力（General Dynamics）,4350000
+1994,大都会/ABC（Capital Cities/ABC）,20000000
+1994,房地美（Freddie Mac）,12761200
+1994,富国银行（Wells Fargo）,6791218
+1994,盖可保险（GEICO）,34250000
+1994,甘尼特（Gannett）,6854500
+1994,华盛顿邮报（Washington Post）,1727765
+1994,吉列（Gillette）,24000000
+1994,可口可乐（Coca-Cola）,100000000
+1994,美国运通（American Express）,27759941
+1994,PNC 银行（PNC Bank）,19453300
+1995,大都会/ABC（Capital Cities/ABC）,20000000
+1995,房地美（Freddie Mac）,12502500
+1995,富国银行（Wells Fargo）,6791218
+1995,盖可保险（GEICO）,34250000
+1995,吉列（Gillette）,48000000
+1995,可口可乐（Coca-Cola）,100000000
+1995,美国运通（American Express）,49456900
+1996,房地美（Freddie Mac）,64246000
+1996,富国银行（Wells Fargo）,7291418
+1996,华盛顿邮报（Washington Post）,1727765
+1996,华特迪士尼（Walt Disney）,24614214
+1996,吉列（Gillette）,48000000
+1996,可口可乐（Coca-Cola）,200000000
+1996,麦当劳（McDonald's）,30156600
+1996,美国运通（American Express）,49456900
+1997,房地美（Freddie Mac）,63977600
+1997,富国银行（Wells Fargo）,6690218
+1997,华盛顿邮报（Washington Post）,1727765
+1997,华特迪士尼（Walt Disney）,21563414
+1997,吉列（Gillette）,48000000
+1997,可口可乐（Coca-Cola）,200000000
+1997,旅行家集团（Travelers Group）,23733198
+1997,美国运通（American Express）,49456900

data/brk/rawData/brk_holdings_1988_1997_export.csv

@@ -0,0 +1,105 @@
+1997/12/31,,,,,,,,,,,
+公司名称,股份数量,成本（截至1997/12/31）（百万美元）*,市值（截至1997/12/31）（百万美元）,,,,,,,,
+美国运通 (American Express),"49,456,900 ","1,392.70 ","4,414.00 ",,,,,,,,
+可口可乐 (The Coca-Cola Company),"200,000,000 ","1,298.90 ","13,337.50 ",,,,,,,,
+迪士尼 (The Walt Disney Company),"21,563,414 ",381,"2,134.80 ",,,,,,,,
+房地美 (Freddie Mac),"63,977,600 ",329,"2,683.10 ",,,,,,,,
+吉列 (The Gillette Company),"48,000,000 ",600,"4,821.00 ",,,,,,,,
+旅行家集团 (Travelers Group Inc.),"23,733,198 ",604,"1,278.60 ",,,,,,,,
+华盛顿邮报 (The Washington Post Company),"1,727,765 ",11,841,,,,,,,,
+富国银行 (Wells Fargo & Company),"6,690,218 ",413,"2,270.90 ",,,,,,,,
+,,,,,,,,,,,
+1996/12/31,,,,,,,,,,,
+公司,股数,成本\*（百万美元，截至1996/12/31）,市值（百万美元，截至1996/12/31）,,,,,,,,
+美国运通,"49,456,900 ","1,392.70 ","2,794.30 ",,,,,,,,
+可口可乐,"200,000,000 ","1,298.90 ","10,525.00 ",,,,,,,,
+华特迪士尼,"24,614,214 ",577,"1,716.80 ",,,,,,,,
+房地美,"64,246,000 ",333,"1,772.80 ",,,,,,,,
+吉列,"48,000,000 ",600,"3,732.00 ",,,,,,,,
+麦当劳,"30,156,600 ","1,265.30 ","1,368.40 ",,,,,,,,
+华盛顿邮报,"1,727,765 ",11,579,,,,,,,,
+富国银行,"7,291,418 ",498,"1,966.90 ",,,,,,,,
+,,,,,,,,,,,
+1995/12/31,,,,,,,,,,,
+公司,股数,成本 1995/12/31（百万美元）,市值 1995/12/31（百万美元）,,,,,,,,
+美国运通 (American Express),"49,456,900 ","1,392.70 ","2,046.30 ",,,,,,,,
+大都会/ABC (Capital Cities/ABC),"20,000,000 ",345,"2,467.50 ",,,,,,,,
+可口可乐 (The Coca-Cola Company),"100,000,000 ","1,298.90 ","7,425.00 ",,,,,,,,
+房地美 (Freddie Mac),"12,502,500 ",260,"1,044.00 ",,,,,,,,
+盖可保险 (GEICO Corp.),"34,250,000 ",46,"2,393.20 ",,,,,,,,
+吉列 (The Gillette Company),"48,000,000 ",600,"2,502.00 ",,,,,,,,
+富国银行 (Wells Fargo & Company),"6,791,218 ",424,"1,466.90 ",,,,,,,,
+,,,,,,,,,,,
+1994/12/31,,,,,,,,,,,
+公司,股份数量,成本 （千美元）,市值（千美元）,,,,,,,,
+美国运通 ,"27,759,941 ","US$723,919 ","US$818,918 ",,,,,,,,
+大都会/ABC,"20,000,000 ","345,000 ","1,705,000 ",,,,,,,,
+可口可乐,"100,000,000 ","1,298,888 ","5,150,000 ",,,,,,,,
+房地美,"12,761,200 ","270,468 ","644,441 ",,,,,,,,
+甘尼特公司,"6,854,500 ","335,216 ","365,002 ",,,,,,,,
+盖可保险 (GEICO),"34,250,000 ","45,713 ","1,678,250 ",,,,,,,,
+吉列 (Gillette),"24,000,000 ","600,000 ","1,797,000 ",,,,,,,,
+PNC银行 (PNC Bank),"19,453,300 ","503,046 ","410,951 ",,,,,,,,
+华盛顿邮报,"1,727,765 ","9,731 ","418,983 ",,,,,,,,
+富国银行 ,"6,791,218 ","423,680 ","984,727 ",,,,,,,,
+,,,,,,,,,,,
+,,,,,,,,,,,
+1993/12/31,,,,,,,,,,,
+公司名称,股份数量,成本（千美元）,市值（千美元）,,,,,,,,
+大都会/ABC ,"2,000,000 ","US$345,000 ","US$1,239,000 ",,,,,,,,
+可口可乐 ,"93,400,000 ","1,023,920 ","4,167,975 ",,,,,,,,
+房地美 ,"13,654,600 ","307,505 ","681,023 ",,,,,,,,
+盖可保险 ,"34,250,000 ","45,713 ","1,759,594 ",,,,,,,,
+通用动力 ,"4,350,000 ","94,938 ","401,287 ",,,,,,,,
+吉列 ,"24,000,000 ","600,000 ","1,431,000 ",,,,,,,,
+健力士,"38,335,000 ","333,019 ","270,822 ",,,,,,,,
+华盛顿邮报 ,"1,727,765 ","9,731 ","440,148 ",,,,,,,,
+富国银行,"6,791,218 ","423,680 ","878,614 ",,,,,,,,
+,,,,,,,,,,,
+1992/12/31,,,,,,,,,,,
+公司名称,股份数量,成本 （千美元）,市值（千美元）,,,,,,,,
+大都会/ABC,"3,000,000 ","US$517,500 ","US$1,523,500 ",,,,,,,,
+可口可乐,"93,400,000 ","1,023,920 ","3,911,125 ",,,,,,,,
+房地美 ,"16,196,700 ","414,257 ","783,515 ",,,,,,,,
+盖可保险 ,"34,250,000 ","45,713 ","2,226,250 ",,,,,,,,
+通用动力,"4,350,000 ","312,438 ","450,769 ",,,,,,,,
+吉列 ,"24,000,000 ","600,000 ","1,365,000 ",,,,,,,,
+健力士,"38,335,000 ","333,019 ","299,581 ",,,,,,,,
+华盛顿邮报 ,"1,727,765 ","9,731 ","396,954 ",,,,,,,,
+富国银行,"6,358,418 ","380,983 ","485,624 ",,,,,,,,
+,,,,,,,,,,,
+1991/12/31,,,,,,,,,,,
+公司,股数,成本（千美元）,市值（千美元）,,,,,,,,
+大都会/ABC,"3,000,000 ","US$517,500 ","US$1,300,500 ",,,,,,,,
+可口可乐,"46,700,000 ","1,023,920 ","3,747,675 ",,,,,,,,
+房地美,"2,495,200 ","77,245 ","343,090 ",,,,,,,,
+盖可保险,"6,850,000 ","45,713 ","1,363,150 ",,,,,,,,
+吉列,"24,000,000 ","600,000 ","1,347,000 ",,,,,,,,
+健力士 ,"31,247,000 ","264,782 ","296,755 ",,,,,,,,
+华盛顿邮报,"1,727,765 ","9,731 ","336,050 ",,,,,,,,
+富国银行,"5,000,000 ","289,431 ","290,000 ",,,,,,,,
+,,,,,,,,,,,
+1990/12/31,,,,,,,,,,,
+公司,持股数量,成本（千美元）,市值（千美元）,,,,,,,,
+大都会/ABC公司,"3,000,000 ","US$517,500 ","US$1,377,375 ",,,,,,,,
+可口可乐公司,"46,700,000 ","1,023,920 ","2,171,550 ",,,,,,,,
+联邦住房贷款抵押公司,"2,400,000 ","71,729 ","117,000 ",,,,,,,,
+盖可保险公司,"6,850,000 ","45,713 ","1,110,556 ",,,,,,,,
+华盛顿邮报公司,"1,727,765 ","9,731 ","342,097 ",,,,,,,,
+富国银行,"5,000,000 ","289,431 ","289,375 ",,,,,,,,
+,,,,,,,,,,,
+1989/12/31,,,,,,,,,,,
+股份数量,公司名称,成本（千美元）,市值（千美元）,,,,,,,,
+"3,000,000 ",大都会/ABC,"US$517,500 ","US$1,692,375 ",,,,,,,,
+"23,350,000 ",可口可乐,"1,023,920 ","1,803,787 ",,,,,,,,
+"2,400,000 ",房地美优先股,"71,729 ","161,100 ",,,,,,,,
+"6,850,000 ",盖可保险,"45,713 ","1,044,625 ",,,,,,,,
+"1,727,765 ",华盛顿邮报 ,"9,731 ","486,366 ",,,,,,,,
+,,,,,,,,,,,
+1988/12/31,,,,,,,,,,,
+股份数量,公司名称,成本（千美元）,市值（千美元）,,,,,,,,
+"3,000,000 ",大都会/ABC,"US$517,500 ","US$1,086,750 ",,,,,,,,
+"14,172,500 ",可口可乐公司,"592,540 ","632,448 ",,,,,,,,
+"2,400,000 ",联邦住宅贷款抵押公司优先股\*,"71,729 ","121,200 ",,,,,,,,
+"6,850,000 ",盖可保险,"45,713 ","849,400 ",,,,,,,,
+"1,727,765 ",华盛顿邮报公司,"9,731 ","364,126 ",,,,,,,,

data/catl/catl_peer_2026h1.csv

@@ -0,0 +1,7 @@
+company,gp_per_wh,margin_data
+宁德时代,0.122,20.63
+比亚迪*,0.097,21.00
+LG新能源†,-0.010,-0.70
+中创新航*,0.077,16.71
+国轩高科*,0.063,14.02
+亿纬锂能,0.078,16.19

data/catl/catl_peer_asp.csv

@@ -0,0 +1,7 @@
+period,catl,byd,calb,guoxuan,eve
+2021,0.784,0.720,0.660,0.683,
+2022,0.978,0.800,0.872,0.840,
+2023,0.889,0.700,0.618,0.720,
+2024,0.664,0.550,0.496,0.626,
+2025,0.585,0.470,0.459,0.473,0.516
+2026H1,0.591,0.460,0.459,0.452,0.483

data/catl/catl_peer_gp_change.csv

@@ -0,0 +1,7 @@
+company,gp_2023,gp_2026h1
+宁德时代,0.198,0.122
+比亚迪*,0.154,0.097
+LG新能源†,0.119,-0.010
+中创新航*,0.080,0.077
+国轩高科*,0.112,0.063
+亿纬锂能,,0.078

data/catl/catl_peer_gp_gap.csv

@@ -0,0 +1,7 @@
+period,catl,peer_avg,gap_multiple
+2021,0.172,0.080,2.15
+2022,0.168,0.118,1.42
+2023,0.198,0.096,2.06
+2024,0.159,0.087,1.83
+2025,0.139,0.075,1.85
+2026H1,0.122,0.073,1.68

data/catl/catl_peer_gp_per_wh.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,calb,guoxuan,eve
+2021,0.172,0.144,0.067,0.037,0.123,
+2022,0.168,0.144,0.091,0.090,0.147,
+2023,0.198,0.154,0.119,0.080,0.112,
+2024,0.159,0.121,0.032,0.079,0.095,
+2025,0.139,0.103,0.068,0.077,0.068,0.080
+2026H1,0.122,0.097,-0.010,0.077,0.063,0.078

data/catl/catl_peer_install.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,calb,guoxuan,global_total
+2021,99.5,26.4,59.4,8.0,6.7,301.5
+2022,191.6,70.4,70.4,20.0,14.1,517.9
+2023,259.7,111.4,95.8,33.4,17.1,705.5
+2024,339.3,153.7,96.3,39.4,28.5,894.4
+2025,464.7,194.8,108.8,62.8,53.5,1187.0
+2026H1,242.7,87.7,52.6,31.2,28.0,608.5

data/catl/catl_peer_install_share.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,calb,guoxuan
+2021,33.0,8.7,19.7,2.6,2.2
+2022,37.0,13.6,13.6,3.9,2.7
+2023,36.8,15.8,13.6,4.7,2.4
+2024,37.9,17.2,10.8,4.4,3.2
+2025,39.2,16.4,9.2,5.3,4.5
+2026H1,39.9,14.4,8.6,5.1,4.6

data/catl/catl_peer_margin.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,calb,guoxuan,eve
+2021,22.00,20.00,4.31,5.60,18.00,
+2022,17.17,18.00,4.74,10.32,17.50,
+2023,22.27,22.00,6.41,13.00,15.50,
+2024,23.94,22.00,2.25,15.89,15.14,
+2025,23.84,22.00,5.69,16.69,14.39,15.50
+2026H1,20.63,21.00,-0.70,16.71,14.02,16.19

data/catl/catl_peer_utilization.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,calb,guoxuan
+2021,95.1,,73.4,95.2,41.0
+2022,83.3,71.0,73.6,93.8,46.0
+2023,70.5,72.0,69.3,75.6,48.0
+2024,76.3,70.0,57.8,78.7,46.0
+2025,96.9,82.0,47.6,,71.0
+2026H1,94.9,,52.8,,

data/catl/catl_unit_economics.csv

@@ -0,0 +1,7 @@
+period,sales_gwh,revenue_yi,asp,cost_per_wh,gp_per_wh,gross_margin
+2021,116.7,914.9,0.784,0.612,0.172,22.00
+2022,242.0,2365.9,0.978,0.810,0.168,17.17
+2023,321.0,2852.5,0.889,0.691,0.198,22.27
+2024,381.0,2530.4,0.664,0.505,0.159,23.94
+2025,541.0,3165.1,0.585,0.446,0.139,23.84
+2026H1,325,1921.2,0.591,0.469,0.122,20.63

data/catl/global_region_share.csv

@@ -0,0 +1,7 @@
+period,china,korea,japan,others,global_total
+2021,48.2,30.2,12.0,9.6,301.5
+2022,60.4,23.7,7.3,8.6,517.9
+2023,63.5,23.2,6.1,7.2,705.5
+2024,67.1,18.5,3.9,10.5,894.4
+2025,70.4,15.3,3.7,10.6,1187.0
+2026H1,72.4,11.7,3.7,12.2,608.5

data/catl/global_top10_2026h1.csv

@@ -0,0 +1,11 @@
+rank,company,region,gwh,share,yoy,global_total
+1,宁德时代,中国,242.7,39.9,25.3,608.5
+2,比亚迪,中国,87.7,14.4,1.6,608.5
+3,LG新能源,韩国,52.6,8.6,8.4,608.5
+4,中创新航,中国,31.2,5.1,39.5,608.5
+5,国轩高科,中国,28.0,4.6,43.3,608.5
+6,松下,日本,22.7,3.7,10.2,608.5
+7,亿纬锂能,中国,20.9,3.4,51.7,608.5
+8,SK On,韩国,19.0,3.1,-6.7,608.5
+9,蜂巢能源,中国,15.7,2.6,40.9,608.5
+10,欣旺达,中国,14.5,2.4,13.7,608.5

data/catl/global_top10_install.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,panasonic,sk_on,samsung_sdi,calb,guoxuan,eve,sunwoda,svolt,farasis,global_total
+2021,99.5,26.4,59.4,36.3,17.3,14.5,8.0,6.7,,2.6,,2.4,301.5
+2022,191.6,70.4,70.4,38.0,27.8,24.3,20.0,14.1,,9.2,,7.4,517.9
+2023,259.7,111.4,95.8,42.8,34.7,33.1,33.4,17.1,16.2,10.5,,,705.5
+2024,339.3,153.7,96.3,35.1,39.0,29.6,39.4,28.5,20.3,18.8,,,894.4
+2025,464.7,194.8,108.8,44.2,44.5,28.9,62.8,53.5,31.3,,28.5,,1187.0
+2026H1,242.7,87.7,52.6,22.7,19.0,,31.2,28.0,20.9,14.5,15.7,,608.5

data/catl/global_top10_share.csv

@@ -0,0 +1,7 @@
+period,catl,byd,lges,panasonic,sk_on,samsung_sdi,calb,guoxuan,eve,sunwoda,svolt,farasis,cr3,cr5,cr10,china_top10_count,china_share
+2021,33.0,8.7,19.7,12.0,5.7,4.8,2.6,2.2,,0.9,,0.8,64.7,79.1,90.4,6,48.2
+2022,37.0,13.6,13.6,7.3,5.4,4.7,3.9,2.7,,1.8,,1.4,64.2,76.9,91.4,6,60.4
+2023,36.8,15.8,13.6,6.1,4.9,4.7,4.7,2.4,2.3,1.5,,,66.2,77.2,92.8,6,63.5
+2024,37.9,17.2,10.8,3.9,4.4,3.3,4.4,3.2,2.3,2.1,,,65.9,74.7,89.5,6,67.1
+2025,39.2,16.4,9.2,3.7,3.7,2.4,5.3,4.5,2.6,,2.4,,64.8,74.6,89.4,6,70.4
+2026H1,39.9,14.4,8.6,3.7,3.1,,5.1,4.6,3.4,2.4,2.6,,62.9,72.6,87.8,7,72.4

data/demo/fx.csv

@@ -0,0 +1,3 @@
+stage,mid_price,onshore_spot
+年初,7.0288,6.9890
+2026-06-30,6.8109,6.7852

data/demo/growth.csv

@@ -0,0 +1,10 @@
+period,non_gaap_net_profit,gross_profit,revenue,cost
+22H1,-13.5,22.7,33.9,50.8
+22年,-42.7,4.3,2.8,13.5
+23H1,42.3,19.3,12.9,10.6
+23年,107.7,45.5,36.5,24.2
+24H1,90.2,71.9,62.0,46.9
+24年,185.7,125.4,106.9,77.6
+25H1,362.8,234.4,204.4,151.1
+25年,284.5,207.4,184.7,139.0
+26H1,9.2,26.5,20.5,26.5

data/demo/inventory.csv

@@ -0,0 +1,10 @@
+period,inventory,revenue,turnover_days
+22H1,9.6,23.6,160
+22年,8.7,46.2,154
+23H1,7.6,28.1,132
+23年,9.1,63.0,133
+24H1,9.2,45.6,101
+24年,15.2,130.4,102
+25H1,22.7,138.8,84
+25年,54.7,371.2,123
+26H1,61.0,371.7,201

data/demo/margin.csv

@@ -0,0 +1,10 @@
+period,gross_margin,sales_expense_rate,admin_expense_rate,non_gaap_net_margin
+22H1,58.1,29.4,13.7,15.9
+22年,57.5,31.9,14.9,12.4
+23H1,60.4,31.2,11.8,19.0
+23年,61.3,31.8,11.2,18.9
+24H1,64.0,29.7,9.5,22.3
+24年,66.8,28.0,7.3,26.1
+25H1,70.3,23.0,5.6,33.9
+25年,72.1,21.8,4.8,35.2
+26H1,69.7,22.9,5.4,30.0

data/moutai/moutai_balance_annual.csv

@@ -0,0 +1,11 @@
+period,total_assets,equity,liabilities,cash_like,cash,receivables,inventory
+2016,,,,,,,
+2017,,,,,,,
+2018,,,,,,,
+2019,,,,,,,
+2020,,,,,,,
+2021,,,,,,,
+2022,,,,,,,
+2023,,,,,,,
+2024,,,,,,,
+2025,,,,,,,

data/moutai/moutai_balance_quarterly.csv

@@ -0,0 +1,22 @@
+period,total_assets,equity,liabilities,cash_like,cash,receivables,inventory
+2021Q2,,,,,,,
+2021Q3,,,,,,,
+2021Q4,,,,,,,
+2022Q1,,,,,,,
+2022Q2,,,,,,,
+2022Q3,,,,,,,
+2022Q4,,,,,,,
+2023Q1,,,,,,,
+2023Q2,,,,,,,
+2023Q3,,,,,,,
+2023Q4,,,,,,,
+2024Q1,,,,,,,
+2024Q2,,,,,,,
+2024Q3,,,,,,,
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+2025Q1,,,,,,,
+2025Q2,,,,,,,
+2025Q3,,,,,,,
+2025Q4,,,,,,,
+2026Q1,,,,,,,
+2026Q2,,,,,,,

data/moutai/moutai_base_wine_volume.csv

@@ -0,0 +1,31 @@
+period,planned_capacity,released_capacity,base_wine_output,commercial_wine_sales
+2000,,,5397.000000,
+2001,,,7317.000000,
+2002,,,8640.000000,
+2003,,,9757.000000,
+2004,,,11522.000000,6500.000000
+2005,,,12500.000000,7356.000000
+2006,,,13839.000000,7300.000000
+2007,,,16865.000000,8640.000000
+2008,,,20431.000000,9558.000000
+2009,,,23004.000000,10380.000000
+2010,,,26284.000000,10141.000000
+2011,,,30026.000000,11250.000000
+2012,,,33600.000000,14800.000000
+2013,,,38452.000000,15500.000000
+2014,,,38745.000000,18000.000000
+2015,,,32179.000000,19798.000000
+2016,32592.000000,31360.000000,39313.000000,22918.000000
+2017,35952.000000,32592.000000,42829.000000,30206.000000
+2018,37408.000000,35952.000000,49672.000000,32464.000000
+2019,38528.000000,37408.000000,49923.000000,34562.000000
+2020,42560.000000,38528.000000,50235.000000,34313.000000
+2021,42743.000000,42743.000000,56472.250000,36261.000000
+2022,42743.000000,42743.000000,56810.440000,37901.000000
+2023,42795.000000,42743.000000,57204.110000,42111.000000
+2024,44595.000000,,56271.990000,46412.950000
+2025,46395.000000,,58473.160000,46750.660000
+2026,,,,
+2027,,,,
+2028,,,,
+2029,,,,

data/moutai/moutai_cashflow_annual.csv

@@ -0,0 +1,11 @@
+period,operating_cash_flow,investing_cash_flow,financing_cash_flow,net_cash_increase
+2016,374.510000,-11.030000,-83.350000,280.140000
+2017,221.530000,-11.210000,-88.990000,121.330000
+2018,413.850000,-16.290000,-164.410000,233.150000
+2019,452.110000,-31.660000,-192.840000,227.610000
+2020,516.690000,-18.050000,-241.280000,257.370000
+2021,640.290000,-55.620000,-265.640000,319.000000
+2022,366.990000,-55.370000,-574.250000,-262.620000
+2023,665.930000,-97.240000,-588.890000,-20.190000
+2024,924.640000,-17.850000,-710.680000,196.100000
+2025,615.220000,-316.420000,-734.270000,-435.440000

data/moutai/moutai_cashflow_quarterly.csv

@@ -0,0 +1,22 @@
+period,operating_cash_flow,investing_cash_flow,financing_cash_flow,net_cash_increase
+2021Q2,217.190000,-38.720000,-264.080000,-85.610000
+2021Q3,150.330000,-3.940000,-1.200000,145.180000
+2021Q4,272.770000,-12.960000,-0.360000,259.430000
+2022Q1,-68.760000,-12.400000,-0.040000,-81.200000
+2022Q2,68.650000,-4.650000,-283.150000,-219.160000
+2022Q3,94.160000,-9.660000,-15.460000,69.050000
+2022Q4,272.940000,-28.660000,-275.600000,-31.310000
+2023Q1,52.450000,2.180000,-0.230000,54.400000
+2023Q2,251.420000,-6.980000,-325.740000,-81.290000
+2023Q3,196.150000,-78.360000,-21.280000,96.500000
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+2024Q2,274.350000,-21.320000,-388.040000,-135.010000
+2024Q3,77.990000,22.940000,-1.730000,99.200000
+2024Q4,480.430000,-11.800000,-320.790000,147.830000
+2025Q1,88.090000,-6.240000,-16.070000,65.780000
+2025Q2,43.100000,3.100000,-382.860000,-336.630000
+2025Q3,250.780000,-51.090000,-33.510000,166.170000
+2025Q4,233.250000,-262.190000,-301.830000,-330.760000
+2026Q1,269.100000,256.390000,-10.060000,515.430000
+2026Q2,437.810000,0.020000,-369.380000,68.420000

data/moutai/moutai_channel_revenue_annual.csv

@@ -0,0 +1,11 @@
+period,direct,wholesale,direct_share,wholesale_share
+2016,34.850000,353.560000,0.089725,0.910275
+2017,,,,
+2018,43.760000,691.890000,0.059485,0.940515
+2019,72.490000,780.960000,0.084938,0.915062
+2020,132.400000,815.820000,0.139630,0.860370
+2021,240.290000,820.300000,0.226563,0.773437
+2022,493.790000,743.940000,0.398948,0.601052
+2023,672.330000,799.860000,0.456687,0.543313
+2024,748.433270,957.685110,0.438676,0.561324
+2025,845.430319,842.315533,0.500923,0.499077

data/moutai/moutai_classified_revenue_cumulative.csv

@@ -0,0 +1,31 @@
+period,moutai,series,direct,wholesale,moutai_share,direct_share
+2019Q1,194.980000,21.320000,10.920000,205.380000,0.901433,0.050485
+2019Q2,347.950000,46.550000,16.020000,378.480000,0.882003,0.040608
+2019Q3,538.320000,70.380000,31.030000,577.670000,0.884377,0.050977
+2019Q4,758.020000,95.420000,72.490000,780.960000,0.888194,0.084938
+2020Q1,222.220000,21.690000,19.380000,224.530000,0.911074,0.079456
+2020Q2,392.610000,46.500000,51.530000,387.590000,0.894104,0.117348
+2020Q3,601.450000,70.000000,84.330000,587.130000,0.895748,0.125592
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data/moutai/moutai_classified_revenue_quarterly.csv

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data/moutai/moutai_distributors.csv

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data/moutai/moutai_dividend.csv

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data/moutai/moutai_expense_annual.csv

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data/moutai/moutai_expense_quarterly.csv

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data/moutai/moutai_flying_price.csv

@@ -0,0 +1,17 @@
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data/moutai/moutai_liquor_industry_output.csv

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data/moutai/moutai_price_adjustments.csv

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data/moutai/moutai_product_revenue_annual.csv

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data/moutai/moutai_profitability_annual.csv

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data/moutai/moutai_profitability_quarterly.csv

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data/moutai/moutai_revenue_composition_halfyear.csv

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+period,moutai,series,domestic,overseas
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data/moutai/moutai_ton_price.csv

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data/moutai/rawData/README.md

@@ -0,0 +1,5 @@
+# 贵州茅台图表数据
+
+本目录保留原始附件：年度与季度工作簿均不作编辑。图表使用的 `data/moutai/*.csv` 由 `scripts/normalize_moutai_financials.py` 生成。
+
+口径说明：金额默认单位为人民币亿元；季度现金流由各披露累计值与同年度上一季度累计值相减得到单季金额；“分类营收”中的单季与累计数据分别保留，图表不混用两种口径。

data/ppmt/ppmt_assets.csv

@@ -0,0 +1,13 @@
+period,total_assets,cash_like,receivables,investment,operating_assets
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+2021H2,83.24,52.65,1.71,4.11,24.77
+2022H1,85.90,51.63,1.32,5.53,27.42
+2022H2,85.80,50.42,1.94,5.55,27.89
+2023H1,90.65,55.40,2.09,5.75,27.42
+2023H2,99.69,59.63,3.21,5.87,30.97
+2024H1,110.17,70.10,2.64,5.50,31.93
+2024H2,148.71,96.20,4.78,5.60,42.13
+2025H1,213.57,137.66,9.72,5.40,60.79
+2025H2,321.01,172.25,9.21,4.95,132.04

data/ppmt/ppmt_assets_annual.csv

@@ -0,0 +1,7 @@
+period,total_assets,cash_like,receivables,investment,operating_assets
+2020FY,69.71,56.80,0.78,0.67,11.45
+2021FY,83.24,52.65,1.71,4.11,24.77
+2022FY,85.80,50.42,1.94,5.55,27.89
+2023FY,99.69,59.63,3.21,5.87,30.97
+2024FY,148.71,96.20,4.78,5.60,42.13
+2025FY,321.01,172.25,9.21,4.95,132.04

data/ppmt/ppmt_assets_halfyear.csv

@@ -0,0 +1,13 @@
+period,total_assets,cash_like,receivables,investment,operating_assets
+2020H1,17.89,8.22,0.41,0.46,8.80
+2020H2,69.71,56.80,0.78,0.67,11.45
+2021H1,76.41,57.67,1.35,1.78,15.60
+2021H2,83.24,52.65,1.71,4.11,24.77
+2022H1,85.90,51.63,1.32,5.53,27.42
+2022H2,85.80,50.42,1.94,5.55,27.89
+2023H1,90.65,55.40,2.09,5.75,27.42
+2023H2,99.69,59.63,3.21,5.87,30.97
+2024H1,110.17,70.10,2.64,5.50,31.93
+2024H2,148.71,96.20,4.78,5.60,42.13
+2025H1,213.57,137.66,9.72,5.40,60.79
+2025H2,321.01,172.25,9.21,4.95,132.04

data/ppmt/ppmt_cash_conversion.csv

@@ -0,0 +1,19 @@
+period,operating_cash_flow,net_profit,cash_conversion
+2020H1,1.22,1.41,86.5
+2020H2,5.81,3.82,152.1
+2020FY,7.03,5.23,134.4
+2021H1,4.42,3.59,123.1
+2021H2,3.37,4.96,68.1
+2021FY,7.79,8.55,91.2
+2022H1,3.74,3.33,112.2
+2022H2,5.17,1.43,362.2
+2022FY,8.91,4.76,187.3
+2023H1,10.92,4.77,228.9
+2023H2,8.98,6.12,146.9
+2023FY,19.91,10.89,182.8
+2024H1,19.05,9.64,197.6
+2024H2,30.49,23.44,130.1
+2024FY,49.54,33.08,149.7
+2025H1,59.77,46.82,127.7
+2025H2,48.88,83.30,58.7
+2025FY,108.65,130.12,83.5

data/ppmt/ppmt_cash_conversion_annual.csv

@@ -0,0 +1,7 @@
+period,operating_cash_flow,net_profit,cash_conversion
+2020FY,7.03,5.23,134.4
+2021FY,7.79,8.55,91.2
+2022FY,8.91,4.76,187.3
+2023FY,19.91,10.89,182.8
+2024FY,49.54,33.08,149.7
+2025FY,108.65,130.12,83.5

data/ppmt/ppmt_cash_conversion_halfyear.csv

@@ -0,0 +1,13 @@
+period,operating_cash_flow,net_profit,cash_conversion
+2020H1,1.22,1.41,86.5
+2020H2,5.81,3.82,152.1
+2021H1,4.42,3.59,123.1
+2021H2,3.37,4.96,68.1
+2022H1,3.74,3.33,112.2
+2022H2,5.17,1.43,362.2
+2023H1,10.92,4.77,228.9
+2023H2,8.98,6.12,146.9
+2024H1,19.05,9.64,197.6
+2024H2,30.49,23.44,130.1
+2025H1,59.77,46.82,127.7
+2025H2,48.88,83.30,58.7

data/ppmt/ppmt_cashflow_composition.csv

@@ -0,0 +1,19 @@
+period,operating_cash_flow,investing_cash_flow,financing_cash_flow,net_cash_increase
+2020H1,1.22,-0.48,4.24,4.98
+2020H2,5.81,-1.69,44.47,48.59
+2020FY,7.03,-2.17,48.70,53.57
+2021H1,4.42,-44.98,-1.21,-41.78
+2021H2,3.37,38.50,-3.15,38.73
+2021FY,7.79,-6.48,-4.36,-3.05
+2022H1,3.74,-42.10,-4.81,-43.17
+2022H2,5.17,-4.89,-6.97,-6.68
+2022FY,8.91,-46.98,-11.77,-49.85
+2023H1,10.92,0.82,-5.58,6.16
+2023H2,8.98,1.52,-2.83,7.67
+2023FY,19.91,2.34,-8.42,13.83
+2024H1,19.05,3.34,-7.16,15.23
+2024H2,30.49,-3.25,-2.43,24.82
+2024FY,49.54,0.09,-9.59,40.05
+2025H1,59.77,12.34,-14.05,58.07
+2025H2,48.88,-22.23,-3.62,23.02
+2025FY,108.65,-9.89,-17.67,81.09

data/ppmt/ppmt_cashflow_composition_annual.csv

@@ -0,0 +1,7 @@
+period,operating_cash_flow,investing_cash_flow,financing_cash_flow,net_cash_increase
+2020FY,7.03,-2.17,48.70,53.57
+2021FY,7.79,-6.48,-4.36,-3.05
+2022FY,8.91,-46.98,-11.77,-49.85
+2023FY,19.91,2.34,-8.42,13.83
+2024FY,49.54,0.09,-9.59,40.05
+2025FY,108.65,-9.89,-17.67,81.09

data/ppmt/ppmt_cashflow_composition_halfyear.csv

@@ -0,0 +1,13 @@
+period,operating_cash_flow,investing_cash_flow,financing_cash_flow,net_cash_increase
+2020H1,1.22,-0.48,4.24,4.98
+2020H2,5.81,-1.69,44.47,48.59
+2021H1,4.42,-44.98,-1.21,-41.78
+2021H2,3.37,38.50,-3.15,38.73
+2022H1,3.74,-42.10,-4.81,-43.17
+2022H2,5.17,-4.89,-6.97,-6.68
+2023H1,10.92,0.82,-5.58,6.16
+2023H2,8.98,1.52,-2.83,7.67
+2024H1,19.05,3.34,-7.16,15.23
+2024H2,30.49,-3.25,-2.43,24.82
+2025H1,59.77,12.34,-14.05,58.07
+2025H2,48.88,-22.23,-3.62,23.02

data/ppmt/ppmt_category.csv

@@ -0,0 +1,7 @@
+period,plush,figure,mega,other
+2024H1,4.46,26.57,5.86,8.69
+2024H2,23.86,42.79,10.98,7.17
+2024FY,28.32,69.36,16.84,15.86
+2025H1,61.39,51.76,10.07,15.54
+2025H2,125.69,68.47,9.09,29.19
+2025FY,187.08,120.23,19.16,44.73

data/ppmt/ppmt_category_annual.csv

@@ -0,0 +1,3 @@
+period,plush,figure,mega,other
+2024FY,28.32,69.36,16.84,15.86
+2025FY,187.08,120.23,19.16,44.73

data/ppmt/ppmt_category_halfyear.csv

@@ -0,0 +1,5 @@
+period,plush,figure,mega,other
+2024H1,4.46,26.57,5.86,8.69
+2024H2,23.86,42.79,10.98,7.17
+2025H1,61.39,51.76,10.07,15.54
+2025H2,125.69,68.47,9.09,29.19

data/ppmt/ppmt_channel_amount_americas.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,own_app,tiktok,amazon,online_other,wholesale,total_revenue
+2024H1,0.9,0.1,0.3,0.1,0.0,0.2,0.2,1.83
+2024H2,2.5,0.3,1.6,0.9,0.0,0.5,0.4,6.19
+2024FY,3.4,0.4,1.9,1.1,0.0,0.7,0.6,8.02
+2025H1,7.4,1.1,8.9,3.1,0.0,1.3,1.0,22.65
+2025H2,12.7,1.3,19.8,7.3,0.0,3.2,1.2,45.42
+2025FY,20.0,2.3,28.7,10.4,0.0,4.4,2.2,68.07
+2026H1,9.0,1.0,4.9,0.0,1.7,0.6,1.6,18.91

data/ppmt/ppmt_channel_amount_americas_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,own_app,tiktok,amazon,online_other,wholesale,total_revenue
+2024FY,3.4,0.4,1.9,1.1,0.0,0.7,0.6,8.02
+2025FY,20.0,2.3,28.7,10.4,0.0,4.4,2.2,68.07

data/ppmt/ppmt_channel_amount_americas_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,own_app,tiktok,amazon,online_other,wholesale,total_revenue
+2024H1,0.9,0.1,0.3,0.1,0.0,0.2,0.2,1.83
+2024H2,2.5,0.3,1.6,0.9,0.0,0.5,0.4,6.19
+2025H1,7.4,1.1,8.9,3.1,0.0,1.3,1.0,22.65
+2025H2,12.7,1.3,19.8,7.3,0.0,3.2,1.2,45.42
+2026H1,9.0,1.0,4.9,0.0,1.7,0.6,1.6,18.91

data/ppmt/ppmt_channel_amount_apac.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,own_app,shopee,online_other,wholesale,total_revenue
+2024H1,4.8,0.2,0.4,0.4,0.8,1.3,7.97
+2024H2,11.8,0.2,2.6,2.4,3.0,3.0,23.13
+2024FY,16.7,0.4,3.0,2.9,3.8,4.3,31.10
+2025H1,14.9,0.3,3.1,2.8,4.8,2.6,28.51
+2025H2,28.3,0.6,11.4,2.9,5.5,2.9,51.60
+2025FY,43.2,0.9,14.6,5.7,10.3,5.4,80.11
+2026H1,17.2,0.6,3.4,1.1,2.0,1.6,25.76

data/ppmt/ppmt_channel_amount_apac_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,own_app,shopee,online_other,wholesale,total_revenue
+2024FY,16.7,0.4,3.0,2.9,3.8,4.3,31.10
+2025FY,43.2,0.9,14.6,5.7,10.3,5.4,80.11

data/ppmt/ppmt_channel_amount_apac_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,own_app,shopee,online_other,wholesale,total_revenue
+2024H1,4.8,0.2,0.4,0.4,0.8,1.3,7.97
+2024H2,11.8,0.2,2.6,2.4,3.0,3.0,23.13
+2025H1,14.9,0.3,3.1,2.8,4.8,2.6,28.51
+2025H2,28.3,0.6,11.4,2.9,5.5,2.9,51.60
+2026H1,17.2,0.6,3.4,1.1,2.0,1.6,25.76

data/ppmt/ppmt_channel_amount_china.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,roboshop,tmall,douyin,online_other,wholesale,total_revenue
+2024H1,20.0,3.4,4.0,2.0,2.1,1.3,2.4,35.22
+2024H2,26.0,4.1,7.2,4.3,3.9,3.0,5.2,53.65
+2024FY,46.0,7.5,11.1,6.3,6.0,4.3,7.6,88.87
+2025H1,44.1,6.8,11.3,6.6,5.6,5.9,2.6,82.82
+2025H2,56.7,6.7,23.0,11.3,10.3,11.3,6.5,125.69
+2025FY,100.8,13.5,34.2,17.9,15.9,17.2,9.1,208.51
+2026H1,60.9,7.8,20.6,9.0,9.8,8.4,5.5,122.00

data/ppmt/ppmt_channel_amount_china_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,roboshop,tmall,douyin,online_other,wholesale,total_revenue
+2024FY,46.0,7.5,11.1,6.3,6.0,4.3,7.6,88.87
+2025FY,100.8,13.5,34.2,17.9,15.9,17.2,9.1,208.51

data/ppmt/ppmt_channel_amount_china_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,roboshop,tmall,douyin,online_other,wholesale,total_revenue
+2024H1,20.0,3.4,4.0,2.0,2.1,1.3,2.4,35.22
+2024H2,26.0,4.1,7.2,4.3,3.9,3.0,5.2,53.65
+2025H1,44.1,6.8,11.3,6.6,5.6,5.9,2.6,82.82
+2025H2,56.7,6.7,23.0,11.3,10.3,11.3,6.5,125.69
+2026H1,60.9,7.8,20.6,9.0,9.8,8.4,5.5,122.00

data/ppmt/ppmt_channel_amount_europe.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,own_app,online_other,wholesale,total_revenue
+2024H1,0.4,0.0,0.0,0.1,0.1,0.58
+2024H2,1.2,0.0,0.2,0.2,0.2,1.81
+2024FY,1.6,0.0,0.2,0.3,0.3,2.39
+2025H1,2.7,0.0,0.8,0.8,0.4,4.77
+2025H2,5.8,0.1,2.3,1.1,0.4,9.74
+2025FY,8.6,0.2,3.2,1.9,0.7,14.51
+2026H1,4.0,0.1,0.5,0.1,0.2,5.06

data/ppmt/ppmt_channel_amount_europe_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,own_app,online_other,wholesale,total_revenue
+2024FY,1.6,0.0,0.2,0.3,0.3,2.39
+2025FY,8.6,0.2,3.2,1.9,0.7,14.51

data/ppmt/ppmt_channel_amount_europe_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,own_app,online_other,wholesale,total_revenue
+2024H1,0.4,0.0,0.0,0.1,0.1,0.58
+2024H2,1.2,0.0,0.2,0.2,0.2,1.81
+2025H1,2.7,0.0,0.8,0.8,0.4,4.77
+2025H2,5.8,0.1,2.3,1.1,0.4,9.74
+2026H1,4.0,0.1,0.5,0.1,0.2,5.06

data/ppmt/ppmt_channel_revenue.csv

@@ -0,0 +1,20 @@
+period,retail,online,robot_store,wholesale,total_revenue,revenue_yoy
+2020H1,3.13,3.34,1.05,0.64,8.18,50.5
+2020H2,6.89,6.18,2.23,1.44,16.96,48.7
+2020FY,10.02,9.52,3.29,2.07,25.13,49.3
+2021H1,6.75,6.78,2.28,1.91,17.73,116.8
+2021H2,9.98,12.01,2.42,2.53,27.18,60.3
+2021FY,16.73,18.79,4.70,4.45,44.91,78.7
+2022H1,9.26,10.13,2.08,2.12,23.59,33.1
+2022H2,9.00,9.07,1.86,2.65,22.59,-16.9
+2022FY,18.27,19.20,3.94,4.77,46.17,2.8
+2023H1,13.44,8.74,2.96,2.99,28.14,19.3
+2023H2,17.18,9.92,3.10,4.68,34.87,54.4
+2023FY,30.62,18.66,6.06,7.67,63.01,36.5
+2024H1,23.65,13.43,3.68,4.82,45.58,62.0
+2024H2,44.01,28.10,4.63,8.06,84.80,143.2
+2024FY,67.66,41.53,8.31,12.88,130.38,106.9
+2025H1,69.08,54.98,8.21,6.50,138.76,204.4
+2025H2,103.46,109.36,8.69,10.93,232.44,174.1
+2025FY,172.54,164.34,16.89,17.42,371.20,184.7
+2026H1,91.12,62.12,9.51,8.98,171.73,23.8

data/ppmt/ppmt_channel_revenue_annual.csv

@@ -0,0 +1,7 @@
+period,retail,online,robot_store,wholesale,total_revenue,revenue_yoy
+2020FY,10.02,9.52,3.29,2.07,25.13,49.3
+2021FY,16.73,18.79,4.70,4.45,44.91,78.7
+2022FY,18.27,19.20,3.94,4.77,46.17,2.8
+2023FY,30.62,18.66,6.06,7.67,63.01,36.5
+2024FY,67.66,41.53,8.31,12.88,130.38,106.9
+2025FY,172.54,164.34,16.89,17.42,371.20,184.7

data/ppmt/ppmt_channel_revenue_halfyear.csv

@@ -0,0 +1,14 @@
+period,retail,online,robot_store,wholesale,total_revenue,revenue_yoy
+2020H1,3.13,3.34,1.05,0.64,8.18,50.5
+2020H2,6.89,6.18,2.23,1.44,16.96,48.7
+2021H1,6.75,6.78,2.28,1.91,17.73,116.8
+2021H2,9.98,12.01,2.42,2.53,27.18,60.3
+2022H1,9.26,10.13,2.08,2.12,23.59,33.1
+2022H2,9.00,9.07,1.86,2.65,22.59,-16.9
+2023H1,13.44,8.74,2.96,2.99,28.14,19.3
+2023H2,17.18,9.92,3.10,4.68,34.87,54.4
+2024H1,23.65,13.43,3.68,4.82,45.58,62.0
+2024H2,44.01,28.10,4.63,8.06,84.80,143.2
+2025H1,69.08,54.98,8.21,6.50,138.76,204.4
+2025H2,103.46,109.36,8.69,10.93,232.44,174.1
+2026H1,91.12,62.12,9.51,8.98,171.73,23.8

data/ppmt/ppmt_channel_share.csv

@@ -0,0 +1,8 @@
+period,retail,online,robot_store,wholesale,total_revenue
+2024H1,57.4,25.9,8.1,8.6,45.59
+2024H2,49.0,35.2,5.4,10.4,84.78
+2024FY,51.9,31.9,6.4,9.8,130.37
+2025H1,49.8,39.6,5.9,4.7,138.75
+2025H2,44.5,47.0,3.7,4.7,232.45
+2025FY,46.5,44.3,4.6,4.7,371.20
+2026H1,53.1,36.2,5.5,5.2,171.74

data/ppmt/ppmt_channel_share_americas.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,own_app,tiktok,amazon,online_other,wholesale,total_revenue
+2024H1,47.5,7.1,15.8,8.2,0.0,10.9,10.4,1.83
+2024H2,41.0,4.0,26.3,15.0,0.0,7.3,6.3,6.19
+2024FY,42.5,4.7,23.9,13.5,0.0,8.1,7.2,8.02
+2025H1,32.5,4.6,39.2,13.9,0.0,5.5,4.2,22.65
+2025H2,27.9,2.8,43.7,16.0,0.0,7.0,2.7,45.42
+2025FY,29.4,3.4,42.2,15.3,0.0,6.5,3.2,68.07
+2026H1,47.8,5.5,26.0,0.0,8.9,3.3,8.6,18.91

data/ppmt/ppmt_channel_share_americas_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,own_app,tiktok,amazon,online_other,wholesale,total_revenue
+2024FY,42.5,4.7,23.9,13.5,0.0,8.1,7.2,8.02
+2025FY,29.4,3.4,42.2,15.3,0.0,6.5,3.2,68.07

data/ppmt/ppmt_channel_share_americas_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,own_app,tiktok,amazon,online_other,wholesale,total_revenue
+2024H1,47.5,7.1,15.8,8.2,0.0,10.9,10.4,1.83
+2024H2,41.0,4.0,26.3,15.0,0.0,7.3,6.3,6.19
+2025H1,32.5,4.6,39.2,13.9,0.0,5.5,4.2,22.65
+2025H2,27.9,2.8,43.7,16.0,0.0,7.0,2.7,45.42
+2026H1,47.8,5.5,26.0,0.0,8.9,3.3,8.6,18.91

data/ppmt/ppmt_channel_share_annual.csv

@@ -0,0 +1,3 @@
+period,retail,online,robot_store,wholesale,total_revenue
+2024FY,51.9,31.9,6.4,9.8,130.37
+2025FY,46.5,44.3,4.6,4.7,371.20

data/ppmt/ppmt_channel_share_apac.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,own_app,shopee,online_other,wholesale,total_revenue
+2024H1,60.9,2.1,5.0,5.1,10.7,16.2,7.97
+2024H2,51.1,1.0,11.5,10.5,12.8,13.0,23.13
+2024FY,53.6,1.3,9.8,9.2,12.3,13.8,31.10
+2025H1,52.4,1.2,11.0,9.9,16.7,9.0,28.51
+2025H2,54.8,1.2,22.2,5.6,10.7,5.6,51.60
+2025FY,53.9,1.2,18.2,7.1,12.8,6.8,80.11
+2026H1,66.6,2.2,13.1,4.2,7.7,6.2,25.76

data/ppmt/ppmt_channel_share_apac_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,own_app,shopee,online_other,wholesale,total_revenue
+2024FY,53.6,1.3,9.8,9.2,12.3,13.8,31.10
+2025FY,53.9,1.2,18.2,7.1,12.8,6.8,80.11

data/ppmt/ppmt_channel_share_apac_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,own_app,shopee,online_other,wholesale,total_revenue
+2024H1,60.9,2.1,5.0,5.1,10.7,16.2,7.97
+2024H2,51.1,1.0,11.5,10.5,12.8,13.0,23.13
+2025H1,52.4,1.2,11.0,9.9,16.7,9.0,28.51
+2025H2,54.8,1.2,22.2,5.6,10.7,5.6,51.60
+2026H1,66.6,2.2,13.1,4.2,7.7,6.2,25.76

data/ppmt/ppmt_channel_share_china.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,roboshop,tmall,douyin,online_other,wholesale,total_revenue
+2024H1,56.9,9.6,11.3,5.7,5.9,3.8,6.8,35.22
+2024H2,48.4,7.7,13.3,8.0,7.3,5.5,9.8,53.65
+2024FY,51.8,8.5,12.5,7.1,6.8,4.8,8.6,88.87
+2025H1,53.2,8.2,13.6,7.9,6.8,7.2,3.2,82.82
+2025H2,45.1,5.3,18.3,9.0,8.2,9.0,5.1,125.69
+2025FY,48.3,6.5,16.4,8.6,7.6,8.3,4.4,208.51
+2026H1,49.9,6.4,16.9,7.4,8.0,6.9,4.5,122.00

data/ppmt/ppmt_channel_share_china_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,roboshop,tmall,douyin,online_other,wholesale,total_revenue
+2024FY,51.8,8.5,12.5,7.1,6.8,4.8,8.6,88.87
+2025FY,48.3,6.5,16.4,8.6,7.6,8.3,4.4,208.51

data/ppmt/ppmt_channel_share_china_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,roboshop,tmall,douyin,online_other,wholesale,total_revenue
+2024H1,56.9,9.6,11.3,5.7,5.9,3.8,6.8,35.22
+2024H2,48.4,7.7,13.3,8.0,7.3,5.5,9.8,53.65
+2025H1,53.2,8.2,13.6,7.9,6.8,7.2,3.2,82.82
+2025H2,45.1,5.3,18.3,9.0,8.2,9.0,5.1,125.69
+2026H1,49.9,6.4,16.9,7.4,8.0,6.9,4.5,122.00

data/ppmt/ppmt_channel_share_europe.csv

@@ -0,0 +1,8 @@
+period,retail,robot_store,own_app,online_other,wholesale,total_revenue
+2024H1,70.7,1.7,1.7,17.2,8.6,0.58
+2024H2,64.1,0.6,11.0,13.3,11.0,1.81
+2024FY,65.7,0.8,8.8,14.2,10.5,2.39
+2025H1,57.0,0.8,17.8,16.8,7.5,4.77
+2025H2,60.0,1.3,23.7,11.2,3.8,9.74
+2025FY,59.0,1.2,21.8,13.0,5.0,14.51
+2026H1,79.6,2.2,10.5,3.0,4.7,5.06

data/ppmt/ppmt_channel_share_europe_annual.csv

@@ -0,0 +1,3 @@
+period,retail,robot_store,own_app,online_other,wholesale,total_revenue
+2024FY,65.7,0.8,8.8,14.2,10.5,2.39
+2025FY,59.0,1.2,21.8,13.0,5.0,14.51

data/ppmt/ppmt_channel_share_europe_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,robot_store,own_app,online_other,wholesale,total_revenue
+2024H1,70.7,1.7,1.7,17.2,8.6,0.58
+2024H2,64.1,0.6,11.0,13.3,11.0,1.81
+2025H1,57.0,0.8,17.8,16.8,7.5,4.77
+2025H2,60.0,1.3,23.7,11.2,3.8,9.74
+2026H1,79.6,2.2,10.5,3.0,4.7,5.06

data/ppmt/ppmt_channel_share_halfyear.csv

@@ -0,0 +1,6 @@
+period,retail,online,robot_store,wholesale,total_revenue
+2024H1,57.4,25.9,8.1,8.6,45.59
+2024H2,49.0,35.2,5.4,10.4,84.78
+2025H1,49.8,39.6,5.9,4.7,138.75
+2025H2,44.5,47.0,3.7,4.7,232.45
+2026H1,53.1,36.2,5.5,5.2,171.74

data/ppmt/ppmt_core_margin.csv

@@ -0,0 +1,20 @@
+period,core_margin
+2020H1,22.6
+2020H2,29.4
+2020FY,27.2
+2021H1,25.8
+2021H2,23.5
+2021FY,24.4
+2022H1,15.0
+2022H2,6.3
+2022FY,10.8
+2023H1,17.4
+2023H2,19.0
+2023FY,18.3
+2024H1,24.8
+2024H2,35.1
+2024FY,31.5
+2025H1,41.8
+2025H2,47.8
+2025FY,45.6
+2026H1,41.4

data/ppmt/ppmt_core_margin_annual.csv

@@ -0,0 +1,7 @@
+period,core_margin
+2020FY,27.2
+2021FY,24.4
+2022FY,10.8
+2023FY,18.3
+2024FY,31.5
+2025FY,45.6

data/ppmt/ppmt_core_margin_halfyear.csv

@@ -0,0 +1,14 @@
+period,core_margin
+2020H1,22.6
+2020H2,29.4
+2021H1,25.8
+2021H2,23.5
+2022H1,15.0
+2022H2,6.3
+2023H1,17.4
+2023H2,19.0
+2024H1,24.8
+2024H2,35.1
+2025H1,41.8
+2025H2,47.8
+2026H1,41.4

data/ppmt/ppmt_core_profit.csv

@@ -0,0 +1,20 @@
+period,core_profit,yoy
+2020H1,1.85,25.2
+2020H2,4.99,14.4
+2020FY,6.84,17.1
+2021H1,4.58,147.3
+2021H2,6.37,27.7
+2021FY,10.95,60.1
+2022H1,3.54,-22.5
+2022H2,1.43,-77.6
+2022FY,4.98,-54.6
+2023H1,4.89,37.9
+2023H2,6.63,363.8
+2023FY,11.52,131.6
+2024H1,11.31,131.5
+2024H2,29.79,349.1
+2024FY,41.10,256.8
+2025H1,57.98,412.4
+2025H2,111.14,273.1
+2025FY,169.12,311.5
+2026H1,71.08,22.6

data/ppmt/ppmt_core_profit_annual.csv

@@ -0,0 +1,7 @@
+period,core_profit,yoy
+2020FY,6.84,17.1
+2021FY,10.95,60.1
+2022FY,4.98,-54.6
+2023FY,11.52,131.6
+2024FY,41.10,256.8
+2025FY,169.12,311.5

data/ppmt/ppmt_core_profit_halfyear.csv

@@ -0,0 +1,14 @@
+period,core_profit,yoy
+2020H1,1.85,25.2
+2020H2,4.99,14.4
+2021H1,4.58,147.3
+2021H2,6.37,27.7
+2022H1,3.54,-22.5
+2022H2,1.43,-77.6
+2023H1,4.89,37.9
+2023H2,6.63,363.8
+2024H1,11.31,131.5
+2024H2,29.79,349.1
+2025H1,57.98,412.4
+2025H2,111.14,273.1
+2026H1,71.08,22.6

data/ppmt/ppmt_expense_structure.csv

@@ -0,0 +1,20 @@
+period,sales_expense,admin_expense,financial_expense,four_expense_rate
+2020H1,2.23,1.25,0.04,43.1
+2020H2,4.07,1.55,0.05,33.4
+2020FY,6.30,2.80,0.09,36.6
+2021H1,4.20,2.40,-0.06,36.9
+2021H2,6.86,3.18,-0.02,36.9
+2021FY,11.06,5.58,-0.07,36.9
+2022H1,6.93,3.23,-0.07,42.8
+2022H2,7.78,3.64,-0.22,49.5
+2022FY,14.71,6.86,-0.29,46.1
+2023H1,8.78,3.31,-0.63,40.7
+2023H2,11.26,3.76,-0.88,40.5
+2023FY,20.05,7.07,-1.52,40.6
+2024H1,13.53,4.34,-0.84,37.4
+2024H2,22.97,5.13,-0.80,32.2
+2024FY,36.50,9.47,-1.63,34.0
+2025H1,31.93,7.70,-0.66,28.1
+2025H2,48.90,10.00,-0.11,25.3
+2025FY,80.82,17.70,-0.76,26.3
+2026H1,39.31,9.27,-0.11,28.2

data/ppmt/ppmt_expense_structure_annual.csv

@@ -0,0 +1,7 @@
+period,sales_expense,admin_expense,financial_expense,four_expense_rate
+2020FY,6.30,2.80,0.09,36.6
+2021FY,11.06,5.58,-0.07,36.9
+2022FY,14.71,6.86,-0.29,46.1
+2023FY,20.05,7.07,-1.52,40.6
+2024FY,36.50,9.47,-1.63,34.0
+2025FY,80.82,17.70,-0.76,26.3

data/ppmt/ppmt_expense_structure_halfyear.csv

@@ -0,0 +1,14 @@
+period,sales_expense,admin_expense,financial_expense,four_expense_rate
+2020H1,2.23,1.25,0.04,43.1
+2020H2,4.07,1.55,0.05,33.4
+2021H1,4.20,2.40,-0.06,36.9
+2021H2,6.86,3.18,-0.02,36.9
+2022H1,6.93,3.23,-0.07,42.8
+2022H2,7.78,3.64,-0.22,49.5
+2023H1,8.78,3.31,-0.63,40.7
+2023H2,11.26,3.76,-0.88,40.5
+2024H1,13.53,4.34,-0.84,37.4
+2024H2,22.97,5.13,-0.80,32.2
+2025H1,31.93,7.70,-0.66,28.1
+2025H2,48.90,10.00,-0.11,25.3
+2026H1,39.31,9.27,-0.11,28.2

data/ppmt/ppmt_growth.csv

@@ -0,0 +1,20 @@
+period,non_gaap_net_profit,gross_profit,revenue,cost
+2020H1,24.4,61.4,50.5,33.6
+2020H2,33.1,39.6,48.7,67.0
+2020FY,30.9,46.2,49.3,55.0
+2021H1,208.0,109.4,116.8,130.5
+2021H2,26.1,54.8,60.3,69.5
+2021FY,69.6,73.1,78.7,88.4
+2022H1,-13.5,22.7,33.1,50.8
+2022H2,-65.2,-21.8,-16.9,-9.5
+2022FY,-42.7,-3.8,2.8,13.3
+2023H1,42.3,23.9,19.3,12.9
+2023H2,232.1,68.7,54.4,35.6
+2023FY,107.6,45.6,36.5,24.2
+2024H1,90.1,71.9,62.0,46.9
+2024H2,264.1,167.3,143.2,103.7
+2024FY,185.9,125.4,106.9,77.7
+2025H1,362.8,234.4,204.4,151.1
+2025H2,251.0,193.7,174.1,131.9
+2025FY,284.5,207.4,184.7,139.1
+2026H1,9.5,22.6,23.8,26.5