feat: 泡泡玛特增加年度、半年数据区分

css/style.css

@@ -123,6 +123,9 @@ button {
 .content { min-width: 0; }
 
 .tabs {
+  position: sticky;
+  top: 20px;
+  z-index: 5;
   display: flex;
   flex-wrap: wrap;
   gap: 6px;
@@ -142,7 +145,7 @@ button {
   background: var(--surface);
   border-radius: 10px;
   box-shadow: 0 1px 3px rgba(0, 0, 0, .06);
-  scroll-margin-top: 20px;
+  scroll-margin-top: 84px;
 }
 
 .card-bar {
@@ -198,14 +201,39 @@ button {
 }
 
 @media (max-width: 880px) {
-  .app-layout { display: block; padding: 16px 12px 40px; }
+  .app-layout { display: block; padding: 0 12px 40px; }
-  .sidebar { position: static; margin-bottom: 12px; }
+  .sidebar { margin-bottom: 12px; }
-  .company-sidebar { padding: 7px; }
+  .company-sidebar {
+    position: sticky;
+    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; }
   .company-button { flex: 0 0 auto; width: auto; }
-  .tabs { overflow-x: auto; flex-wrap: nowrap; }
+  .tabs {
+    top: 50px;
+    z-index: 6;
+    overflow-x: auto;
+    overflow-y: hidden;
+    flex-wrap: nowrap;
+    margin: 0 -12px 18px;
+    padding: 5px 12px;
+    border-width: 0 0 1px;
+    border-radius: 0;
+    background: rgba(245, 244, 241, .96);
+    backdrop-filter: blur(10px);
+    scrollbar-width: none;
+  }
+  .tabs::-webkit-scrollbar { display: none; }
   .tab-button { flex: 0 0 auto; }
+  .card { scroll-margin-top: 120px; }
   .card-bar { align-items: flex-start; flex-wrap: wrap; }
   .export-button { margin-left: auto; }
   .chart { min-width: 560px; }

data/ppmt/ppmt_assets.csv

@@ -1,13 +1,13 @@
-period,total_assets,cash_like,receivables,investment,operating_assets
+period,total_assets,cash_like,receivables,investment,operating_assets
-2020H1,17.89,8.22,0.41,0.46,8.8
+2020H1,17.89,8.22,0.41,0.46,8.80
-2020H2,69.71,56.8,0.78,0.67,11.45
+2020H2,69.71,56.80,0.78,0.67,11.45
-2021H1,76.41,57.67,1.35,1.78,15.6
+2021H1,76.41,57.67,1.35,1.78,15.60
-2021H2,83.24,52.65,1.71,4.11,24.77
+2021H2,83.24,52.65,1.71,4.11,24.77
-2022H1,85.9,51.63,1.32,5.53,27.42
+2022H1,85.90,51.63,1.32,5.53,27.42
-2022H2,85.8,50.42,1.94,5.55,27.89
+2022H2,85.80,50.42,1.94,5.55,27.89
-2023H1,90.65,55.4,2.09,5.75,27.42
+2023H1,90.65,55.40,2.09,5.75,27.42
-2023H2,99.69,59.63,3.21,5.87,30.97
+2023H2,99.69,59.63,3.21,5.87,30.97
-2024H1,110.17,70.1,2.64,5.5,31.93
+2024H1,110.17,70.10,2.64,5.50,31.93
-2024H2,148.71,96.2,4.78,5.6,42.13
+2024H2,148.71,96.20,4.78,5.60,42.13
-2025H1,213.57,137.66,9.72,5.4,60.79
+2025H1,213.57,137.66,9.72,5.40,60.79
-2025H2,321.01,172.25,9.21,4.95,132.04
+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

@@ -1,7 +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

@@ -1,7 +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

@@ -1,6 +1,7 @@
-period,plush,figure,mega,other
+period,plush,figure,mega,other
-品类,毛绒,手办,MEGA,衍生品及其他
+2024H1,4.46,26.57,5.86,8.69
-2024H1,4.46105,26.56781,5.8613,8.68815
+2024H2,23.86,42.79,10.98,7.17
-2024H2,23.85973,42.79306,10.9765,7.16989
+2024FY,28.32,69.36,16.84,15.86
-2025H1,61.39236,51.75875,10.07147,15.54018
+2025H1,61.39,51.76,10.07,15.54
-2025H2,125.68838,68.46694,9.08935,29.19309
+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_revenue.csv

@@ -1,14 +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_core_margin.csv

@@ -1,14 +1,20 @@
-period,core_margin
+period,core_margin
-2020H1,22.6
+2020H1,22.6
-2020H2,27.2
+2020H2,29.4
-2021H1,25.8
+2020FY,27.2
-2021H2,24.4
+2021H1,25.8
-2022H1,15.0
+2021H2,23.5
-2022H2,10.8
+2021FY,24.4
-2023H1,17.4
+2022H1,15.0
-2023H2,18.3
+2022H2,6.3
-2024H1,24.8
+2022FY,10.8
-2024H2,31.5
+2023H1,17.4
-2025H1,41.8
+2023H2,19.0
-2025H2,45.6
+2023FY,18.3
-2026H1,41.4
+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

@@ -1,14 +1,20 @@
-period,core_profit,yoy
+period,core_profit,yoy
-2020H1,1.9,25.0
+2020H1,1.85,25.2
-2020H2,6.8,17.1
+2020H2,4.99,14.4
-2021H1,4.6,147.0
+2020FY,6.84,17.1
-2021H2,11.0,60.1
+2021H1,4.58,147.3
-2022H1,3.5,-22.5
+2021H2,6.37,27.7
-2022H2,5.0,-54.5
+2021FY,10.95,60.1
-2023H1,4.9,38.1
+2022H1,3.54,-22.5
-2023H2,11.5,131.3
+2022H2,1.43,-77.6
-2024H1,11.3,131.5
+2022FY,4.98,-54.6
-2024H2,41.1,256.9
+2023H1,4.89,37.9
-2025H1,58.0,412.2
+2023H2,6.63,363.8
-2025H2,169.1,311.4
+2023FY,11.52,131.6
-2026H1,71.1,22.6
+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

@@ -1,7 +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

@@ -1,14 +1,20 @@
-period,non_gaap_net_profit,gross_profit,revenue,cost
+period,non_gaap_net_profit,gross_profit,revenue,cost
-2020H1,23.7,61.0,50.6,33.3
+2020H1,24.4,61.4,50.5,33.6
-2020H2,16.2,46.2,49.3,55.0
+2020H2,33.1,39.6,48.7,67.0
-2021H1,154.6,109.6,116.7,131.0
+2020FY,30.9,46.2,49.3,55.0
-2021H2,69.5,73.1,78.7,88.5
+2021H1,208.0,109.4,116.8,130.5
-2022H1,-13.6,22.6,33.1,50.6
+2021H2,26.1,54.8,60.3,69.5
-2022H2,-42.7,-3.8,2.8,13.3
+2021FY,69.6,73.1,78.7,88.4
-2023H1,42.3,23.9,19.3,12.9
+2022H1,-13.5,22.7,33.1,50.8
-2023H2,107.5,45.5,36.5,24.1
+2022H2,-65.2,-21.8,-16.9,-9.5
-2024H1,90.3,71.9,62.0,47.0
+2022FY,-42.7,-3.8,2.8,13.3
-2024H2,185.7,125.4,106.9,77.7
+2023H1,42.3,23.9,19.3,12.9
-2025H1,362.7,234.4,204.4,151.1
+2023H2,232.1,68.7,54.4,35.6
-2025H2,284.5,207.4,184.7,139.1
+2023FY,107.6,45.6,36.5,24.2
-2026H1,9.5,22.6,23.8,26.5
+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

data/ppmt/ppmt_growth_annual.csv

@@ -0,0 +1,7 @@
+period,non_gaap_net_profit,gross_profit,revenue,cost
+2020FY,30.9,46.2,49.3,55.0
+2021FY,69.6,73.1,78.7,88.4
+2022FY,-42.7,-3.8,2.8,13.3
+2023FY,107.6,45.6,36.5,24.2
+2024FY,185.9,125.4,106.9,77.7
+2025FY,284.5,207.4,184.7,139.1

data/ppmt/ppmt_growth_halfyear.csv

@@ -0,0 +1,14 @@
+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
+2021H1,208.0,109.4,116.8,130.5
+2021H2,26.1,54.8,60.3,69.5
+2022H1,-13.5,22.7,33.1,50.8
+2022H2,-65.2,-21.8,-16.9,-9.5
+2023H1,42.3,23.9,19.3,12.9
+2023H2,232.1,68.7,54.4,35.6
+2024H1,90.1,71.9,62.0,46.9
+2024H2,264.1,167.3,143.2,103.7
+2025H1,362.8,234.4,204.4,151.1
+2025H2,251.0,193.7,174.1,131.9
+2026H1,9.5,22.6,23.8,26.5

data/ppmt/ppmt_ip.csv

@@ -1,9 +1,9 @@
-ip,2021H1,2021H2,2022H1,2022H2,2023H1,2023H2,2024H1,2024H2,2025H1,2025H2
+ip,2021H1,2021H2,2021FY,2022H1,2022H2,2022FY,2023H1,2023H2,2023FY,2024H1,2024H2,2024FY,2025H1,2025H2,2025FY
-THE MONSTERS,1.45789,1.58642,1.34887,1.28115,1.59829,2.08042,6.26806,24.13858,48.14017,93.47047
+THE MONSTERS,1.45789,1.58642,3.04431,1.34887,1.28115,2.63002,1.59829,2.08042,3.67871,6.26806,24.13858,30.406640000000003,48.14017,93.47047,141.61064
-MOLLY,2.039,5.01198,4.04347,3.97808,4.11433,6.08872,7.8216,13.11012,13.57248,15.39836
+MOLLY,2.039,5.01198,7.050980000000001,4.04347,3.97808,8.02155,4.11433,6.08872,10.203050000000001,7.8216,13.11012,20.93172,13.57248,15.39836,28.970840000000003
-SKULLPANDA,1.83042,4.12214,4.61766,3.89845,5.26383,4.98405,5.74562,7.337,12.20504,23.19038
+SKULLPANDA,1.83042,4.12214,5.95256,4.61766,3.89845,8.51611,5.26383,4.98405,10.247879999999999,5.74562,7.337,13.082619999999999,12.20504,23.19038,35.39542
-CRYBABY,0,0,0,0,0.26603,0.44546,3.49382,8.15503,12.1817,17.10836
+CRYBABY,0,0,0,0,0,0,0.26603,0.44546,0.71149,3.49382,8.15503,11.64885,12.1817,17.10836,29.29006
-DIMOO,2.04993,3.61742,2.98442,2.79506,3.62032,3.75634,3.77838,5.31723,11.05135,16.7156
+DIMOO,2.04993,3.61742,5.66735,2.98442,2.79506,5.7794799999999995,3.62032,3.75634,7.376659999999999,3.77838,5.31723,9.09561,11.05135,16.7156,27.766949999999998
-HIRONO-小野,0,0,0.37538,1.0323,1.09352,2.41849,2.45247,4.81278,7.2842,10.06815
+HIRONO-小野,0,0,0,0.37538,1.0323,1.40768,1.09352,2.41849,3.51201,2.45247,4.81278,7.26525,7.2842,10.06815,17.35235
-HACIPUPU,0,0,0,0.42797,0.69171,0.82587,0.94991,1.29297,3.32122,5.15899
+HACIPUPU,0,0,0,0,0.42797,0.42797,0.69171,0.82587,1.5175800000000002,0.94991,1.29297,2.24288,3.32122,5.15899,8.48021
-星星人,0,0,0,0,0,0,0,0,3.89363,16.66217
+星星人,0,0,0,0,0,0,0,0,0,0,0,0,3.89363,16.66217,20.555799999999998

data/ppmt/ppmt_ip_annual.csv

@@ -0,0 +1,9 @@
+ip,2021FY,2022FY,2023FY,2024FY,2025FY
+THE MONSTERS,3.04431,2.63002,3.67871,30.406640000000003,141.61064
+MOLLY,7.050980000000001,8.02155,10.203050000000001,20.93172,28.970840000000003
+SKULLPANDA,5.95256,8.51611,10.247879999999999,13.082619999999999,35.39542
+CRYBABY,0,0,0.71149,11.64885,29.29006
+DIMOO,5.66735,5.7794799999999995,7.376659999999999,9.09561,27.766949999999998
+HIRONO-小野,0,1.40768,3.51201,7.26525,17.35235
+HACIPUPU,0,0.42797,1.5175800000000002,2.24288,8.48021
+星星人,0,0,0,0,20.555799999999998

data/ppmt/ppmt_ip_ex_monsters.csv

@@ -1,12 +1,17 @@
 period,revenue,yoy
 2021H1,16.27,
 2021H2,25.59,
+2021FY,41.86,
 2022H1,22.24,36.7
 2022H2,21.30,-16.8
+2022FY,43.54,4.0
 2023H1,26.54,19.3
 2023H2,32.79,53.9
+2023FY,59.33,36.3
 2024H1,39.31,48.1
 2024H2,60.66,85.0
+2024FY,99.97,68.5
 2025H1,90.62,130.5
 2025H2,138.97,129.1
+2025FY,229.59,129.7
 2026H1,127.19,40.4

data/ppmt/ppmt_ip_ex_monsters_annual.csv

@@ -0,0 +1,6 @@
+period,revenue,yoy
+2021FY,41.86,
+2022FY,43.54,4.0
+2023FY,59.33,36.3
+2024FY,99.97,68.5
+2025FY,229.59,129.7

data/ppmt/ppmt_ip_ex_monsters_halfyear.csv

@@ -0,0 +1,12 @@
+period,revenue,yoy
+2021H1,16.27,
+2021H2,25.59,
+2022H1,22.24,36.7
+2022H2,21.30,-16.8
+2023H1,26.54,19.3
+2023H2,32.79,53.9
+2024H1,39.31,48.1
+2024H2,60.66,85.0
+2025H1,90.62,130.5
+2025H2,138.97,129.1
+2026H1,127.19,40.4

data/ppmt/ppmt_ip_halfyear.csv

@@ -0,0 +1,9 @@
+ip,2021H1,2021H2,2022H1,2022H2,2023H1,2023H2,2024H1,2024H2,2025H1,2025H2
+THE MONSTERS,1.45789,1.58642,1.34887,1.28115,1.59829,2.08042,6.26806,24.13858,48.14017,93.47047
+MOLLY,2.039,5.01198,4.04347,3.97808,4.11433,6.08872,7.8216,13.11012,13.57248,15.39836
+SKULLPANDA,1.83042,4.12214,4.61766,3.89845,5.26383,4.98405,5.74562,7.337,12.20504,23.19038
+CRYBABY,0,0,0,0,0.26603,0.44546,3.49382,8.15503,12.1817,17.10836
+DIMOO,2.04993,3.61742,2.98442,2.79506,3.62032,3.75634,3.77838,5.31723,11.05135,16.7156
+HIRONO-小野,0,0,0.37538,1.0323,1.09352,2.41849,2.45247,4.81278,7.2842,10.06815
+HACIPUPU,0,0,0,0.42797,0.69171,0.82587,0.94991,1.29297,3.32122,5.15899
+星星人,0,0,0,0,0,0,0,0,3.89363,16.66217

data/ppmt/ppmt_ip_share_history.csv

@@ -1,12 +1,12 @@
-ip,2021H1,2021H2,2022H1,2022H2,2023H1,2023H2,2024H1,2024H2,2025H1,2025H2,2026H1
+ip,2021H1,2021H2,2021FY,2022H1,2022H2,2022FY,2023H1,2023H2,2023FY,2024H1,2024H2,2024FY,2025H1,2025H2,2025FY,2026H1
-THE MONSTERS,1.46,1.59,1.35,1.28,1.60,2.08,6.27,24.14,48.14,93.47,44.54
+THE MONSTERS,1.46,1.59,3.05,1.35,1.28,2.63,1.6,2.08,3.68,6.27,24.14,30.41,48.14,93.47,141.61,44.54
-星星人,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,3.89,16.66,26.50
+星星人,0,0,0,0,0,0,0,0,0,0,0,0,3.89,16.66,20.55,26.5
-授权IP（非独家）,2.88,3.33,3.01,2.50,4.22,6.14,6.95,9.06,15.25,18.57,17.71
+授权IP（非独家）,2.88,3.33,6.21,3.01,2.5,5.51,4.22,6.14,10.36,6.95,9.06,16.01,15.25,18.57,33.82,17.71
-CRYBABY,0.00,0.00,0.00,0.00,0.27,0.45,3.49,8.16,12.18,17.11,16.33
+CRYBABY,0,0,0,0,0,0,0.27,0.45,0.72,3.49,8.16,11.65,12.18,17.11,29.29,16.33
-DIMOO,2.05,3.62,2.98,2.80,3.62,3.76,3.78,5.32,11.05,16.72,16.19
+DIMOO,2.05,3.62,5.67,2.98,2.8,5.779999999999999,3.62,3.76,7.38,3.78,5.32,9.1,11.05,16.72,27.77,16.19
-SKULLPANDA,1.83,4.12,4.62,3.90,5.26,4.98,5.75,7.34,12.21,23.19,15.51
+SKULLPANDA,1.83,4.12,5.95,4.62,3.9,8.52,5.26,4.98,10.24,5.75,7.34,13.09,12.21,23.19,35.400000000000006,15.51
-其他艺术家IP,1.43,2.47,4.37,3.00,4.54,5.44,6.37,7.72,10.64,14.00,11.74
+其他艺术家IP,1.43,2.47,3.9000000000000004,4.37,3,7.37,4.54,5.44,9.98,6.37,7.72,14.09,10.64,14,24.64,11.74
-HIRONO-小野,0.00,0.00,0.38,1.03,1.09,2.42,2.45,4.81,7.28,10.07,10.09
+HIRONO-小野,0,0,0,0.38,1.03,1.4100000000000001,1.09,2.42,3.51,2.45,4.81,7.26,7.28,10.07,17.35,10.09
-MOLLY,2.04,5.01,4.04,3.98,4.11,6.09,7.82,13.11,13.57,15.40,9.01
+MOLLY,2.04,5.01,7.05,4.04,3.98,8.02,4.11,6.09,10.2,7.82,13.11,20.93,13.57,15.4,28.97,9.01
-其他IP（含已停单列）,4.14,4.51,0.81,1.86,1.15,1.37,0.95,3.74,3.32,5.16,2.98
+其他IP（含已停单列）,4.14,4.51,8.649999999999999,0.81,1.86,2.67,1.15,1.37,2.52,0.95,3.74,4.69,3.32,5.16,8.48,2.98
-外采及其他,1.90,2.53,2.03,2.24,2.28,2.15,1.75,1.41,1.23,2.09,1.12
+外采及其他,1.9,2.53,4.43,2.03,2.24,4.27,2.28,2.15,4.43,1.75,1.41,3.16,1.23,2.09,3.32,1.12

data/ppmt/ppmt_ip_share_history_annual.csv

@@ -0,0 +1,12 @@
+ip,2021FY,2022FY,2023FY,2024FY,2025FY
+THE MONSTERS,3.05,2.63,3.68,30.41,141.61
+星星人,0,0,0,0,20.55
+授权IP（非独家）,6.21,5.51,10.36,16.01,33.82
+CRYBABY,0,0,0.72,11.65,29.29
+DIMOO,5.67,5.779999999999999,7.38,9.1,27.77
+SKULLPANDA,5.95,8.52,10.24,13.09,35.400000000000006
+其他艺术家IP,3.9000000000000004,7.37,9.98,14.09,24.64
+HIRONO-小野,0,1.4100000000000001,3.51,7.26,17.35
+MOLLY,7.05,8.02,10.2,20.93,28.97
+其他IP（含已停单列）,8.649999999999999,2.67,2.52,4.69,8.48
+外采及其他,4.43,4.27,4.43,3.16,3.32

data/ppmt/ppmt_ip_share_history_halfyear.csv

@@ -0,0 +1,12 @@
+ip,2021H1,2021H2,2022H1,2022H2,2023H1,2023H2,2024H1,2024H2,2025H1,2025H2,2026H1
+THE MONSTERS,1.46,1.59,1.35,1.28,1.6,2.08,6.27,24.14,48.14,93.47,44.54
+星星人,0,0,0,0,0,0,0,0,3.89,16.66,26.5
+授权IP（非独家）,2.88,3.33,3.01,2.5,4.22,6.14,6.95,9.06,15.25,18.57,17.71
+CRYBABY,0,0,0,0,0.27,0.45,3.49,8.16,12.18,17.11,16.33
+DIMOO,2.05,3.62,2.98,2.8,3.62,3.76,3.78,5.32,11.05,16.72,16.19
+SKULLPANDA,1.83,4.12,4.62,3.9,5.26,4.98,5.75,7.34,12.21,23.19,15.51
+其他艺术家IP,1.43,2.47,4.37,3,4.54,5.44,6.37,7.72,10.64,14,11.74
+HIRONO-小野,0,0,0.38,1.03,1.09,2.42,2.45,4.81,7.28,10.07,10.09
+MOLLY,2.04,5.01,4.04,3.98,4.11,6.09,7.82,13.11,13.57,15.4,9.01
+其他IP（含已停单列）,4.14,4.51,0.81,1.86,1.15,1.37,0.95,3.74,3.32,5.16,2.98
+外采及其他,1.9,2.53,2.03,2.24,2.28,2.15,1.75,1.41,1.23,2.09,1.12

data/ppmt/ppmt_liquidity_working_capital.csv

@@ -1,14 +1,14 @@
 period,cash,total_liabilities,net_working_capital
 2020H1,8.22,5.47,8.66
-2020FY,56.80,8.40,55.91
+2020H2,56.80,8.40,55.91
 2021H1,57.67,13.26,55.92
-2021FY,52.65,15.04,56.65
+2021H2,52.65,15.04,56.65
 2022H1,51.63,14.76,58.16
-2022FY,50.42,16.15,54.85
+2022H2,50.42,16.15,54.85
 2023H1,55.40,17.59,57.33
-2023FY,59.63,21.88,59.50
+2023H2,59.63,21.88,59.50
 2024H1,70.10,25.65,66.47
-2024FY,96.20,39.86,88.66
+2024H2,96.20,39.86,88.66
 2025H1,137.66,69.27,119.27
-2025FY,172.25,94.49,177.46
+2025H2,172.25,94.49,177.46
 2026H1,139.62,77.40,174.20

data/ppmt/ppmt_liquidity_working_capital_annual.csv

@@ -0,0 +1,7 @@
+period,cash,total_liabilities,net_working_capital
+2020FY,56.80,8.40,55.91
+2021FY,52.65,15.04,56.65
+2022FY,50.42,16.15,54.85
+2023FY,59.63,21.88,59.50
+2024FY,96.20,39.86,88.66
+2025FY,172.25,94.49,177.46

data/ppmt/ppmt_liquidity_working_capital_halfyear.csv

@@ -0,0 +1,14 @@
+period,cash,total_liabilities,net_working_capital
+2020H1,8.22,5.47,8.66
+2020H2,56.80,8.40,55.91
+2021H1,57.67,13.26,55.92
+2021H2,52.65,15.04,56.65
+2022H1,51.63,14.76,58.16
+2022H2,50.42,16.15,54.85
+2023H1,55.40,17.59,57.33
+2023H2,59.63,21.88,59.50
+2024H1,70.10,25.65,66.47
+2024H2,96.20,39.86,88.66
+2025H1,137.66,69.27,119.27
+2025H2,172.25,94.49,177.46
+2026H1,139.62,77.40,174.20

data/ppmt/ppmt_margins.csv

@@ -1,14 +1,20 @@
-period,gross_margin,sales_expense_rate,admin_expense_rate,non_gaap_net_margin
+period,gross_margin,sales_expense_rate,admin_expense_rate,non_gaap_net_margin
-2020H1,65.23,27.27,15.33,17.24
+2020H1,65.23,27.27,15.33,17.28
-2020H2,63.42,25.07,11.14,23.52
+2020H2,62.55,24.00,9.12,26.49
-2021H1,63.02,23.68,13.52,24.53
+2020FY,63.42,25.07,11.14,23.49
-2021H2,61.43,24.63,12.41,22.31
+2021H1,63.02,23.68,13.52,24.55
-2022H1,58.1,29.39,13.68,15.94
+2021H2,60.39,25.25,11.69,20.84
-2022H2,57.49,31.85,14.86,12.43
+2021FY,61.43,24.63,12.41,22.30
-2023H1,60.36,31.21,11.77,19.01
+2022H1,58.10,29.39,13.68,15.95
-2023H2,61.32,31.82,11.23,18.9
+2022H2,56.86,34.43,16.10,8.73
-2024H1,64.05,29.69,9.53,22.33
+2022FY,57.49,31.85,14.86,12.42
-2024H2,66.79,28.0,7.26,26.1
+2023H1,60.36,31.21,11.77,19.03
-2025H1,70.34,23.01,5.55,33.94
+2023H2,62.10,32.30,10.78,18.79
-2025H2,72.1,21.77,4.77,35.25
+2023FY,61.32,31.82,11.23,18.89
-2026H1,69.68,22.89,5.4,30.02
+2024H1,64.05,29.69,9.53,22.33
+2024H2,68.26,27.09,6.05,28.13
+2024FY,66.79,28.00,7.26,26.10
+2025H1,70.34,23.01,5.55,33.94
+2025H2,73.15,21.04,4.30,36.03
+2025FY,72.10,21.77,4.77,35.25
+2026H1,69.68,22.89,5.40,30.02

data/ppmt/ppmt_margins_annual.csv

@@ -0,0 +1,7 @@
+period,gross_margin,sales_expense_rate,admin_expense_rate,non_gaap_net_margin
+2020FY,63.42,25.07,11.14,23.49
+2021FY,61.43,24.63,12.41,22.30
+2022FY,57.49,31.85,14.86,12.42
+2023FY,61.32,31.82,11.23,18.89
+2024FY,66.79,28.00,7.26,26.10
+2025FY,72.10,21.77,4.77,35.25

data/ppmt/ppmt_margins_halfyear.csv

@@ -0,0 +1,14 @@
+period,gross_margin,sales_expense_rate,admin_expense_rate,non_gaap_net_margin
+2020H1,65.23,27.27,15.33,17.28
+2020H2,62.55,24.00,9.12,26.49
+2021H1,63.02,23.68,13.52,24.55
+2021H2,60.39,25.25,11.69,20.84
+2022H1,58.10,29.39,13.68,15.95
+2022H2,56.86,34.43,16.10,8.73
+2023H1,60.36,31.21,11.77,19.03
+2023H2,62.10,32.30,10.78,18.79
+2024H1,64.05,29.69,9.53,22.33
+2024H2,68.26,27.09,6.05,28.13
+2025H1,70.34,23.01,5.55,33.94
+2025H2,73.15,21.04,4.30,36.03
+2026H1,69.68,22.89,5.40,30.02

data/ppmt/ppmt_profit.csv

@@ -1,18 +1,20 @@
-period,revenue,gross_profit,gross_margin,net_profit
+period,revenue,gross_profit,gross_margin,net_profit
-2026H1,171.73,119.66,69.67999999999999,50.38
+2020H1,8.18,5.33,65.23,1.41
-2025H2,371.2,267.65,72.1,127.76
+2020H2,16.96,10.61,62.55,3.82
-2025H1,138.76,97.61,70.34,45.74
+2020FY,25.13,15.94,63.42,5.23
-2024H2,130.38,87.08,66.79,31.25
+2021H1,17.73,11.17,63.02,3.59
-2024H1,45.58,29.19,64.05,9.21
+2021H2,27.18,16.42,60.39,4.96
-2023H2,63.01,38.64,61.31999999999999,10.82
+2021FY,44.91,27.59,61.43,8.55
-2023H1,28.14,16.98,60.36,4.77
+2022H1,23.59,13.70,58.10,3.33
-2022H2,46.17,26.55,57.489999999999995,4.76
+2022H2,22.59,12.84,56.86,1.43
-2022H1,23.59,13.7,58.099999999999994,3.33
+2022FY,46.17,26.55,57.49,4.76
-2021H2,44.91,27.59,61.42999999999999,8.54
+2023H1,28.14,16.98,60.36,4.77
-2021H1,17.73,11.17,63.019999999999996,3.59
+2023H2,34.87,21.66,62.10,6.12
-2020H2,25.13,15.94,63.42,5.24
+2023FY,63.01,38.64,61.32,10.89
-2020H1,8.18,5.33,65.23,1.41
+2024H1,45.58,29.19,64.05,9.64
-2019H2,16.83,10.9,64.77000000000001,4.51
+2024H2,84.80,57.89,68.26,23.44
-2019H1,5.43,3.31,60.84,1.14
+2024FY,130.38,87.08,66.79,33.08
-2018H2,5.15,2.98,57.92,1
+2025H1,138.76,97.61,70.34,46.82
-2017H2,1.58,0.75,47.61,0.02
+2025H2,232.44,170.04,73.15,83.30
+2025FY,371.20,267.65,72.10,130.12
+2026H1,171.73,119.66,69.68,51.00

data/ppmt/ppmt_profit_annual.csv

@@ -0,0 +1,7 @@
+period,revenue,gross_profit,gross_margin,net_profit
+2020FY,25.13,15.94,63.42,5.23
+2021FY,44.91,27.59,61.43,8.55
+2022FY,46.17,26.55,57.49,4.76
+2023FY,63.01,38.64,61.32,10.89
+2024FY,130.38,87.08,66.79,33.08
+2025FY,371.20,267.65,72.10,130.12

data/ppmt/ppmt_profit_halfyear.csv

@@ -0,0 +1,14 @@
+period,revenue,gross_profit,gross_margin,net_profit
+2020H1,8.18,5.33,65.23,1.41
+2020H2,16.96,10.61,62.55,3.82
+2021H1,17.73,11.17,63.02,3.59
+2021H2,27.18,16.42,60.39,4.96
+2022H1,23.59,13.70,58.10,3.33
+2022H2,22.59,12.84,56.86,1.43
+2023H1,28.14,16.98,60.36,4.77
+2023H2,34.87,21.66,62.10,6.12
+2024H1,45.58,29.19,64.05,9.64
+2024H2,84.80,57.89,68.26,23.44
+2025H1,138.76,97.61,70.34,46.82
+2025H2,232.44,170.04,73.15,83.30
+2026H1,171.73,119.66,69.68,51.00

docs/方案设计.md

@@ -147,7 +147,9 @@ js/main.js + js/ui.js                ← 解析引用、渲染三栏、导出和
 }
 ```
 
-页面仅在声明多个视图时显示切换按钮，并将选择写入 URL query。当前泡泡玛特图表没有强制启用这一功能；基础能力已保留，等真实数据需要时再登记。
+页面仅在声明多个视图时显示切换按钮，并将选择写入 URL query；尚未启用多视图的图表维持单一 CSV，不显示控制器。
+
+泡泡玛特已在 15 张连续图启用该能力：盈利能力、营收到利润的增速对比、核心利润及同比增速、核心利润率、利润率与费用率拆解、资产结构演变、主要 IP 收入趋势、各 IP 收入占比、除 THE MONSTERS 外 IP 收入及同比、品类收入结构、经营现金流与净利润、现金/负债/净营运资本、三大现金流与现金净增加、费用结构与费用率、渠道收入结构与增速。默认显示“全部”，并提供“年度 / 半年”；其原始披露没有可靠 Q1/Q3 数据，故不展示“季度”。其中 `FY` 为全年、`H1/H2` 为单独半年，流量类指标的 H2 在数据归一化阶段由 `FY − H1` 生成，比率与同比也在数据层重算；资产负债表类则为期末余额，H2 对应年末时点而非累计金额。
 
 ---
 

js/charts/ppmt_assets.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -8,15 +9,15 @@ import {
  * 泡泡玛特资产结构演变图
  * 堆叠柱状图展示资产配置，折线图展示总资产增长
  */
-export function assetsChart(rows, { width, height }) {
+export function assetsChart(rows, { width, height, view = 'all' }) {
   const periods = col(rows, 'period');
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特资产结构演变（2020H1-2026H1）',
+      text: `泡泡玛特资产结构演变（${financialViewLabel(view)}）`,
-      subtext: '单位：亿元',
+      subtext: '单位：亿元；资产负债表为期末余额，H2 为年末时点而非全年累计',
     },
     legend: {
       ...legendStyle,
@@ -29,7 +30,7 @@ export function assetsChart(rows, { width, height }) {
       axisPointer: { type: 'shadow' },
       textStyle: { fontFamily: FONT },
     },
-    xAxis: { ...periodAxis, data: periods },
+    xAxis: { ...standalonePeriodAxis, data: periods },
     yAxis: [
       {
         ...axisCommon,

js/charts/ppmt_cash_conversion.js

@@ -1,19 +1,23 @@
 import { col } from '../csv.js';
 import {
-  FINANCIAL_COLORS, PALETTE, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  FINANCIAL_COLORS, PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
 /** 泡泡玛特经营现金流与净利润：观察利润的现金兑现能力。 */
-export function cashConversionChart(rows, { width, height }) {
+export function cashConversionChart(rows, { width, height, view = 'all' }) {
   const periods = col(rows, 'period');
+  const conversionMax = Math.max(...col(rows, 'cash_conversion').filter(Number.isFinite));
+  const conversionAxisMax = Math.max(200, Math.ceil((conversionMax * 1.1) / 100) * 100);
+  const barWidth = view === 'all' ? 14 : view === 'halfyear' ? 24.96 : 31.2;
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特经营现金流与净利润（年度）',
+      text: `泡泡玛特经营现金流与净利润（${financialViewLabel(view)}）`,
-      subtext: '现金转换率 = 经营活动现金流净额 / 净利润；单位：亿元',
+      subtext: ['现金转换率 = 经营活动现金流净额 / 净利润；单位：亿元', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -27,7 +31,7 @@ export function cashConversionChart(rows, { width, height }) {
       textStyle: { fontFamily: FONT },
       valueFormatter: (value) => `${value.toFixed(1)}`,
     },
-    xAxis: { ...periodAxis, data: periods },
+    xAxis: { ...standalonePeriodAxis, data: periods },
     yAxis: [
       {
         ...axisCommon,
@@ -48,8 +52,8 @@ export function cashConversionChart(rows, { width, height }) {
         nameRotate: -90,
         nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
         min: 0,
-        max: 200,
+        max: conversionAxisMax,
-        interval: 50,
+        interval: conversionAxisMax / 4,
         axisLabel: { ...axisCommon.axisLabel, formatter: '{value}%' },
         splitLine: { show: false },
       },
@@ -59,7 +63,7 @@ export function cashConversionChart(rows, { width, height }) {
         name: '经营活动现金流净额',
         type: 'bar',
         data: col(rows, 'operating_cash_flow'),
-        barWidth: 31.2,
+        barWidth,
         itemStyle: { color: FINANCIAL_COLORS.operatingCashFlow },
         label: { show: true, position: 'top', color: PALETTE.ink, fontFamily: FONT, fontSize: 11, formatter: (p) => p.value.toFixed(1) },
       },
@@ -67,7 +71,7 @@ export function cashConversionChart(rows, { width, height }) {
         name: '净利润',
         type: 'bar',
         data: col(rows, 'net_profit'),
-        barWidth: 31.2,
+        barWidth,
         itemStyle: { color: FINANCIAL_COLORS.netProfit },
         label: { show: true, position: 'top', color: PALETTE.ink, fontFamily: FONT, fontSize: 11, formatter: (p) => p.value.toFixed(1) },
       },
@@ -85,7 +89,7 @@ export function cashConversionChart(rows, { width, height }) {
     ],
     graphic: [
       ...watermarks(width, height),
-      footnote('数据来源：泡泡玛特合并现金流量表、利润表（年度口径）| @思考的Joey'),
+      footnote('数据来源：泡泡玛特合并现金流量表、利润表；H2为单独半年 | @思考的Joey'),
     ],
   };
 }

js/charts/ppmt_cashflow_composition.js

@@ -1,12 +1,14 @@
 import { col } from '../csv.js';
 import {
-  FINANCIAL_COLORS, PALETTE, FONT, axisCommon, periodAxis, titleStyle, standardLegend,
+  FINANCIAL_COLORS, PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, standardLegend,
+  financialViewDisclosure, financialViewLabel,
   lineDataWithSafeLabels,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
 /** 泡泡玛特三大现金流：展示经营造血、投资投入与筹资变化。 */
-export function cashflowCompositionChart(rows, { width, height }) {
+export function cashflowCompositionChart(rows, { width, height, view = 'all' }) {
+  const barWidth = view === 'all' ? 10 : view === 'halfyear' ? 18.2 : 26;
   const netCashIncrease = lineDataWithSafeLabels(rows, {
     lineKey: 'net_cash_increase',
     barKeys: ['operating_cash_flow', 'investing_cash_flow', 'financing_cash_flow'],
@@ -16,8 +18,8 @@ export function cashflowCompositionChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特三大现金流与现金净增加（年度）',
+      text: `泡泡玛特三大现金流与现金净增加（${financialViewLabel(view)}）`,
-      subtext: '单位：亿元；正值为流入，负值为流出',
+      subtext: ['单位：亿元；正值为流入，负值为流出', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     // 不手工指定 icon，让 ECharts 按系列类型生成：柱为矩形、折线为短线 + 空心圆。
     legend: standardLegend(['经营活动现金流', '投资活动现金流', '筹资活动现金流', '现金净增加']),
@@ -28,7 +30,7 @@ export function cashflowCompositionChart(rows, { width, height }) {
       textStyle: { fontFamily: FONT },
       valueFormatter: (value) => `${value.toFixed(1)} 亿元`,
     },
-    xAxis: { ...periodAxis, data: col(rows, 'period') },
+    xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
     yAxis: {
       ...axisCommon,
       type: 'value',
@@ -38,9 +40,9 @@ export function cashflowCompositionChart(rows, { width, height }) {
       nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
     },
     series: [
-      { name: '经营活动现金流', type: 'bar', data: col(rows, 'operating_cash_flow'), barWidth: 26, itemStyle: { color: FINANCIAL_COLORS.operatingCashFlow } },
+      { name: '经营活动现金流', type: 'bar', data: col(rows, 'operating_cash_flow'), barWidth, itemStyle: { color: FINANCIAL_COLORS.operatingCashFlow } },
-      { name: '投资活动现金流', type: 'bar', data: col(rows, 'investing_cash_flow'), barWidth: 26, itemStyle: { color: FINANCIAL_COLORS.investingCashFlow } },
+      { name: '投资活动现金流', type: 'bar', data: col(rows, 'investing_cash_flow'), barWidth, itemStyle: { color: FINANCIAL_COLORS.investingCashFlow } },
-      { name: '筹资活动现金流', type: 'bar', data: col(rows, 'financing_cash_flow'), barWidth: 26, itemStyle: { color: FINANCIAL_COLORS.financingCashFlow } },
+      { name: '筹资活动现金流', type: 'bar', data: col(rows, 'financing_cash_flow'), barWidth, itemStyle: { color: FINANCIAL_COLORS.financingCashFlow } },
       {
         ...lineSeries({
           name: '现金净增加',
@@ -55,7 +57,7 @@ export function cashflowCompositionChart(rows, { width, height }) {
     ],
     graphic: [
       ...watermarks(width, height),
-      footnote('数据来源：泡泡玛特合并现金流量表（年度口径）| @思考的Joey'),
+      footnote('数据来源：泡泡玛特合并现金流量表；H2为单独半年 | @思考的Joey'),
     ],
   };
 }

js/charts/ppmt_category.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, categoryAxis, titleStyle, legendStyle,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel,
   footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -8,7 +9,7 @@ import {
  * 泡泡玛特品类收入结构图
  * 堆叠柱状图展示各品类的收入占比和增长
  */
-export function categoryChart(rows, { width, height }) {
+export function categoryChart(rows, { width, height, view = 'all' }) {
   // 过滤掉表头行（"品类"那一行）
   const dataRows = rows.filter(r => r.period && r.period !== '品类');
   const periods = col(dataRows, 'period');
@@ -17,8 +18,8 @@ export function categoryChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特品类收入结构（2024H1-2025H2）',
+      text: `泡泡玛特品类收入结构（${financialViewLabel(view)}）`,
-      subtext: '单位：亿元',
+      subtext: ['单位：亿元；H2为下半年单期', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -41,14 +42,7 @@ export function categoryChart(rows, { width, height }) {
         return result;
       },
     },
-    xAxis: {
+    xAxis: { ...standalonePeriodAxis, data: periods },
-      ...categoryAxis,
-      data: periods,
-      axisLabel: {
-        ...categoryAxis.axisLabel,
-        formatter: (value) => String(value).replace(/^20/, ''),
-      },
-    },
     yAxis: {
       ...axisCommon,
       type: 'value',

js/charts/ppmt_channel_revenue.js

@@ -1,11 +1,12 @@
 import { col } from '../csv.js';
 import {
-  CHANNEL_COLORS, PALETTE, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  CHANNEL_COLORS, PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
 /** 泡泡玛特渠道收入结构与增速。 */
-export function channelRevenueChart(rows, { width, height }) {
+export function channelRevenueChart(rows, { width, height, view = 'all' }) {
   const channels = [
     { key: 'retail', name: '零售店', color: CHANNEL_COLORS.retail },
     { key: 'online', name: '线上', color: CHANNEL_COLORS.online },
@@ -17,8 +18,8 @@ export function channelRevenueChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特渠道收入结构与增速',
+      text: `泡泡玛特渠道收入结构与增速（${financialViewLabel(view)}）`,
-      subtext: '渠道收入为堆叠柱；折线为营业收入同比增速',
+      subtext: ['渠道收入为堆叠柱；折线为营业收入同比增速', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -32,7 +33,7 @@ export function channelRevenueChart(rows, { width, height }) {
       textStyle: { fontFamily: FONT },
       valueFormatter: (value) => value.toFixed(1),
     },
-    xAxis: { ...periodAxis, data: col(rows, 'period') },
+    xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
     yAxis: [
       {
         ...axisCommon,

js/charts/ppmt_core_margin.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, standardLegend, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -15,15 +16,15 @@ import {
  */
 const LINE_COLOR = '#7B2D42';
 
-export function ppmtCoreMarginChart(rows, { width, height }) {
+export function ppmtCoreMarginChart(rows, { width, height, view = 'all' }) {
   const pct = (p) => `${p.value.toFixed(1)}%`;
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特核心利润率（20H1-26H1）',
+      text: `泡泡玛特核心利润率（${financialViewLabel(view)}）`,
-      subtext: '核心利润率 = 毛利率 − 销售费用率 − 管理费用率，剔除汇兑与投资等非主业扰动',
+      subtext: ['核心利润率 = 毛利率 − 销售费用率 − 管理费用率，剔除汇兑与投资等非主业扰动', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: standardLegend(['核心利润率'], { itemGap: 32 }),
     grid: { left: 78, right: 60, top: LAYOUT.gridTop, bottom: 90 },
@@ -32,7 +33,7 @@ export function ppmtCoreMarginChart(rows, { width, height }) {
       valueFormatter: (v) => `${v.toFixed(1)}%`,
       textStyle: { fontFamily: FONT },
     },
-    xAxis: { ...periodAxis, data: col(rows, 'period') },
+    xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
     yAxis: {
       ...axisCommon,
       type: 'value',

js/charts/ppmt_core_profit.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FINANCIAL_COLORS, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  PALETTE, FINANCIAL_COLORS, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel,
   footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -9,7 +10,7 @@ import {
  * 核心利润 = 毛利 - 销售费用 - 管理费用，反映主业盈利能力去除营销和管理成本后的净额。
  * 柱状图展示绝对值（亿元），折线图展示同比增速（%）。
  */
-export function ppmtCoreProfitChart(rows, { width, height }) {
+export function ppmtCoreProfitChart(rows, { width, height, view = 'all' }) {
   const periods = col(rows, 'period');
   const core = col(rows, 'core_profit');
   const yoy = col(rows, 'yoy');
@@ -18,8 +19,8 @@ export function ppmtCoreProfitChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特核心利润及同比增速（20H1-26H1）',
+      text: `泡泡玛特核心利润及同比增速（${financialViewLabel(view)}）`,
-      subtext: '核心利润 = 毛利 - 销售费用 - 管理费用，单位：亿元',
+      subtext: ['核心利润 = 毛利 - 销售费用 - 管理费用，单位：亿元', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -49,7 +50,7 @@ export function ppmtCoreProfitChart(rows, { width, height }) {
         return result;
       },
     },
-    xAxis: { ...periodAxis, data: periods },
+    xAxis: { ...standalonePeriodAxis, data: periods },
     yAxis: [
       {
         // 左轴：核心利润（亿元）

js/charts/ppmt_expense_structure.js

@@ -1,17 +1,18 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
 /** 泡泡玛特期间费用结构：观察销售投入、管理成本与费用率的规模效应。 */
-export function expenseStructureChart(rows, { width, height }) {
+export function expenseStructureChart(rows, { width, height, view = 'all' }) {
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特费用结构与费用率（年度）',
+      text: `泡泡玛特费用结构与费用率（${financialViewLabel(view)}）`,
-      subtext: '销售、管理、财务费用；折线为四项费用率',
+      subtext: ['销售、管理、财务费用；折线为四项费用率', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -25,7 +26,7 @@ export function expenseStructureChart(rows, { width, height }) {
       textStyle: { fontFamily: FONT },
       valueFormatter: (value) => value.toFixed(1),
     },
-    xAxis: { ...periodAxis, data: col(rows, 'period') },
+    xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
     yAxis: [
       {
         ...axisCommon,
@@ -68,7 +69,7 @@ export function expenseStructureChart(rows, { width, height }) {
     ],
     graphic: [
       ...watermarks(width, height),
-      footnote('数据来源：泡泡玛特合并利润表（年度口径）| @思考的Joey'),
+      footnote('数据来源：泡泡玛特合并利润表；H2为单独半年 | @思考的Joey'),
     ],
   };
 }

js/charts/ppmt_growth.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle, standardLegend,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, standardLegend,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -43,15 +44,15 @@ function labeledData(rows, key) {
   });
 }
 
-export function ppmtGrowthChart(rows, { width, height }) {
+export function ppmtGrowthChart(rows, { width, height, view = 'all' }) {
   const pct = (p) => `${p.value}%`;
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特营收到利润的增速对比（2020H1-2026H1）',
+      text: `泡泡玛特营收到利润的增速对比（${financialViewLabel(view)}）`,
-      subtext: '同比增速（%），净利增速显著高于营收增速体现利润弹性',
+      subtext: ['同比增速（%），净利增速显著高于营收增速体现利润弹性', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: standardLegend(['非GAAP归母净利', '毛利润', '营业收入', '营业成本'], { itemGap: 34 }),
     grid: { left: 84, right: 56, top: LAYOUT.gridTop, bottom: 80 },
@@ -60,7 +61,7 @@ export function ppmtGrowthChart(rows, { width, height }) {
       valueFormatter: (v) => `${v}%`,
       textStyle: { fontFamily: FONT },
     },
-    xAxis: { ...periodAxis, data: col(rows, 'period') },
+    xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
     yAxis: {
       ...axisCommon,
       type: 'value',
@@ -105,7 +106,7 @@ export function ppmtGrowthChart(rows, { width, height }) {
     })),
     graphic: [
       ...watermarks(width, height),
-      footnote('数据来源：泡泡玛特财报，2020H1/H2非GAAP净利用归母净利替代 | @思考的Joey'),
+      footnote('数据来源：泡泡玛特财报；2020H1/H2非GAAP净利用归母净利替代 | @思考的Joey'),
     ],
   };
 }

js/charts/ppmt_ip.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
   PALETTE, FONT, axisCommon, categoryAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel, shortStandalonePeriod,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -8,7 +9,7 @@ import {
  * 泡泡玛特主要IP收入趋势图
  * 多条折线展示各IP的收入变化
  */
-export function ipChart(rows, { width, height }) {
+export function ipChart(rows, { width, height, view = 'all' }) {
   // 提取时期（从第一行的列名）
   const periods = Object.keys(rows[0]).filter(k => k !== 'ip');
 
@@ -42,8 +43,8 @@ export function ipChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特主要IP收入趋势（2021H1-2025H2）',
+      text: `泡泡玛特主要IP收入趋势（${financialViewLabel(view)}）`,
-      subtext: '单位：亿元',
+      subtext: ['单位：亿元；H2为单独半年', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -62,7 +63,7 @@ export function ipChart(rows, { width, height }) {
       data: periods,
       axisLabel: {
         ...categoryAxis.axisLabel,
-        formatter: (value) => String(value).replace(/^20/, ''),
+        formatter: shortStandalonePeriod,
       },
     },
     yAxis: {

js/charts/ppmt_ip_ex_monsters.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, categoryAxis, titleStyle, labelStyle,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, labelStyle,
+  financialViewDisclosure, financialViewLabel,
   barSeries, lineSeries, standardLegend, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -34,13 +35,13 @@ const BAR_COLOR = '#176B52';   // 墨翡翠
 const LINE_COLOR = '#7A3FE0';  // 鲜亮紫
 const LINE_ON_BAR = '#DCC9FF'; // 压在翡翠柱面上时用的浅紫（对比度约 6:1）
 
-const Y_MAX = 160;   // 左轴上限
 const YOY_MIN = -50; // 右轴下限
 const YOY_MAX = 150; // 右轴上限
 
-export function ppmtIpExMonstersChart(rows, { width, height }) {
+export function ppmtIpExMonstersChart(rows, { width, height, view = 'all' }) {
   const periods = col(rows, 'period');
   const revenue = col(rows, 'revenue');
+  const yMax = Math.max(...revenue) > 160 ? 300 : 160;
   // 前两期无同比基数，CSV 里留空；parseCSV 会给出 ''，统一转成 null
   const yoy = col(rows, 'yoy').map((v) => (v === '' ? null : v));
 
@@ -50,7 +51,7 @@ export function ppmtIpExMonstersChart(rows, { width, height }) {
   const labelGap = (8 + 13) / plotH;            // labelStyle 的 distance + 字高，换成占比
   const yoyData = yoy.map((v, i) => {
     if (v === null) return null;
-    const barFrac = revenue[i] / Y_MAX;
+    const barFrac = revenue[i] / yMax;
     const lineFrac = (v - YOY_MIN) / (YOY_MAX - YOY_MIN);
     // 标签整体（底边到顶边）都落在柱子高度以内 → 压在柱面上
     const onBar = lineFrac + labelGap < barFrac;
@@ -61,8 +62,8 @@ export function ppmtIpExMonstersChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特除 THE MONSTERS 外的IP收入及同比（21H1-26H1）',
+      text: `泡泡玛特除 THE MONSTERS 外的IP收入及同比（${financialViewLabel(view)}）`,
-      subtext: 'IP收入合计 − THE MONSTERS，单位：亿元；H2 为下半年单期，非全年累计',
+      subtext: ['IP收入合计 − THE MONSTERS，单位：亿元；H2为下半年单期，非全年累计', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: standardLegend(['除MONSTERS外收入', '同比增速'], { itemGap: 32 }),
     grid: { left: 78, right: 128, top: LAYOUT.gridTop, bottom: 90 },
@@ -82,12 +83,7 @@ export function ppmtIpExMonstersChart(rows, { width, height }) {
         return out;
       },
     },
-    xAxis: {
+    xAxis: { ...standalonePeriodAxis, data: periods },
-      ...categoryAxis,
-      data: periods,
-      // 只去世纪前缀：这张表的 H2 是单半年，不能简写成「全年」
-      axisLabel: { ...categoryAxis.axisLabel, formatter: (v) => v.replace(/^20/, '') },
-    },
     yAxis: [
       {
         ...axisCommon,
@@ -97,9 +93,8 @@ export function ppmtIpExMonstersChart(rows, { width, height }) {
         nameGap: 50,
         nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
         min: 0,
-        // 定死 160：留出顶部余量，最高柱（139.0）不会顶到绘图区上沿
+        max: yMax,
-        max: Y_MAX,
+        interval: yMax === 160 ? 20 : 50,
-        interval: 20,
       },
       {
         type: 'value',

js/charts/ppmt_ip_share_history.js

@@ -1,5 +1,6 @@
 import {
   PALETTE, FONT, axisCommon, categoryAxis, titleStyle, LEGEND_ITEM_WIDTH,
+  financialViewDisclosure, financialViewLabel, shortStandalonePeriod,
   barSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -38,7 +39,7 @@ const COLORS = {
 const LEGEND_WIDTH = 160;
 const LEGEND_RIGHT = 20;
 
-export function ppmtIpShareHistoryChart(rows, { width, height }) {
+export function ppmtIpShareHistoryChart(rows, { width, height, view = 'all' }) {
   const periods = Object.keys(rows[0]).filter((k) => k !== 'ip');
   const names = rows.map((r) => r.ip);
   const totals = periods.map((p) => rows.reduce((s, r) => s + r[p], 0));
@@ -49,8 +50,8 @@ export function ppmtIpShareHistoryChart(rows, { width, height }) {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特各IP半年收入占比（21H1-26H1）',
+      text: `泡泡玛特各IP收入占比（${financialViewLabel(view)}）`,
-      subtext: '占当期IP收入合计的比重；H2 为下半年单期，非全年累计',
+      subtext: ['占当期IP收入合计的比重；H2为下半年单期，非全年累计', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       orient: 'vertical',
@@ -89,7 +90,7 @@ export function ppmtIpShareHistoryChart(rows, { width, height }) {
       ...categoryAxis,
       data: periods,
       // 只去世纪前缀：这张表的 H2 是单半年，不能简写成「全年」
-      axisLabel: { ...categoryAxis.axisLabel, formatter: (v) => v.replace(/^20/, '') },
+      axisLabel: { ...categoryAxis.axisLabel, formatter: shortStandalonePeriod },
     },
     yAxis: {
       ...axisCommon,

js/charts/ppmt_liquidity_working_capital.js

@@ -1,19 +1,20 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FINANCIAL_COLORS, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  PALETTE, FINANCIAL_COLORS, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewLabel,
   lineDataWithSafeLabels, lineSeries, barSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
 /** 泡泡玛特现金、负债与净营运资本：观察流动性与资金占用。 */
-export function liquidityWorkingCapitalChart(rows, { width, height }) {
+export function liquidityWorkingCapitalChart(rows, { width, height, view = 'all' }) {
   const periods = col(rows, 'period');
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特现金、负债与净营运资本',
+      text: `泡泡玛特现金、负债与净营运资本（${financialViewLabel(view)}）`,
-      subtext: '净营运资本 = 流动资产 − 流动负债；单位：亿元',
+      subtext: '净营运资本 = 流动资产 − 流动负债；单位：亿元；H2 为年末时点',
     },
     legend: {
       ...legendStyle,
@@ -27,7 +28,7 @@ export function liquidityWorkingCapitalChart(rows, { width, height }) {
       textStyle: { fontFamily: FONT },
       valueFormatter: (value) => `${value.toFixed(1)} 亿元`,
     },
-    xAxis: { ...periodAxis, data: periods },
+    xAxis: { ...standalonePeriodAxis, data: periods },
     yAxis: {
       ...axisCommon,
       type: 'value',

js/charts/ppmt_margins.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle, standardLegend,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, standardLegend,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -54,15 +55,15 @@ function labeledData(rows, key) {
   });
 }
 
-export function ppmtMarginsChart(rows, { width, height }) {
+export function ppmtMarginsChart(rows, { width, height, view = 'all' }) {
   const pct = (p) => `${p.value}%`;
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特利润率与费用率拆解（2020H1-2026H1）',
+      text: `泡泡玛特利润率与费用率拆解（${financialViewLabel(view)}）`,
-      subtext: '毛利率抬升叠加费用率下降，共同推动净利率走高（H1为半年，H2为全年累计）',
+      subtext: ['毛利率抬升叠加费用率下降，共同推动净利率走高', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: standardLegend(SERIES.map((series) => series.name)),
     grid: { left: 78, right: 56, top: LAYOUT.gridTop, bottom: 80 },
@@ -71,7 +72,7 @@ export function ppmtMarginsChart(rows, { width, height }) {
       valueFormatter: (v) => `${v}%`,
       textStyle: { fontFamily: FONT },
     },
-    xAxis: { ...periodAxis, data: col(rows, 'period') },
+    xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
     yAxis: {
       ...axisCommon,
       type: 'value',

js/charts/ppmt_profit.js

@@ -1,6 +1,7 @@
 import { col } from '../csv.js';
 import {
-  PALETTE, FONT, axisCommon, periodAxis, titleStyle, legendStyle,
+  PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, legendStyle,
+  financialViewDisclosure, financialViewLabel,
   lineSeries, footnote, watermarks, LAYOUT,
 } from '../theme.js';
 
@@ -8,19 +9,19 @@ import {
  * 泡泡玛特盈利能力分析图
  * 柱状图展示收入和利润，折线图展示毛利率
  */
-export function profitChart(rows, { width, height }) {
+export function profitChart(rows, { width, height, view = 'all' }) {
-  const periods = col(rows, 'period').reverse(); // 按时间正序
+  const periods = col(rows, 'period');
-  const revenue = col(rows, 'revenue').reverse();
+  const revenue = col(rows, 'revenue');
-  const grossProfit = col(rows, 'gross_profit').reverse();
+  const grossProfit = col(rows, 'gross_profit');
-  const netProfit = col(rows, 'net_profit').reverse();
+  const netProfit = col(rows, 'net_profit');
-  const grossMargin = col(rows, 'gross_margin').reverse();
+  const grossMargin = col(rows, 'gross_margin');
 
   return {
     backgroundColor: '#fff',
     title: {
       ...titleStyle,
-      text: '泡泡玛特盈利能力分析（2022H2-2026H1）',
+      text: `泡泡玛特盈利能力分析（${financialViewLabel(view)}）`,
-      subtext: '营收、毛利、净利润及毛利率变化',
+      subtext: ['营收、毛利、净利润及毛利率变化', financialViewDisclosure(view)].filter(Boolean).join('\n'),
     },
     legend: {
       ...legendStyle,
@@ -33,7 +34,7 @@ export function profitChart(rows, { width, height }) {
       axisPointer: { type: 'shadow' },
       textStyle: { fontFamily: FONT },
     },
-    xAxis: { ...periodAxis, data: periods },
+    xAxis: { ...standalonePeriodAxis, data: periods },
     yAxis: [
       {
         ...axisCommon,
@@ -122,7 +123,7 @@ export function profitChart(rows, { width, height }) {
     ],
     graphic: [
       ...watermarks(width, height),
-      footnote('数据来源：泡泡玛特财报（累计数据）| @思考的Joey'),
+      footnote('数据来源：泡泡玛特财报；H2为单独半年 | @思考的Joey'),
     ],
   };
 }

js/main.js

@@ -11,6 +11,7 @@ import {
 
 const instances = new Map();
 const activeViews = new Map();
+const chartRenderVersions = new Map();
 let manifest;
 let shell;
 let state;
@@ -106,25 +107,47 @@ function chartSource(chart) {
   return chart.views[view];
 }
 
-async function renderChart(chart, version) {
+async function renderChart(chart, version, chartVersion) {
   const el = document.getElementById(`chart-${chart.instanceId}`);
   if (!el) return;
   const source = chartSource(chart);
+  const view = chart.views
+    ? activeViews.get(chart.viewKey) || chart.defaultView
+    : undefined;
 
   try {
     const rows = await loadCSV(`${source}?t=${cacheToken}`);
-    if (version !== renderVersion || !document.body.contains(el)) return;
+    if (version !== renderVersion || chartVersion !== chartRenderVersions.get(chart.instanceId) || !document.body.contains(el)) return;
 
     const instance = echarts.init(el, null, { renderer: 'canvas' });
     instances.set(chart.instanceId, instance);
     const { width, height } = el.getBoundingClientRect();
-    instance.setOption(getChartBuilder(chart.key)(rows, { width, height }), true);
+    instance.setOption(getChartBuilder(chart.key)(rows, { width, height, view }), true);
   } catch (error) {
     if (version === renderVersion) showChartError(chart.instanceId, error.message);
     console.error(`渲染图表失败：${chart.id}`, error);
   }
 }
 
+function renderSingleChart(chart) {
+  const previous = instances.get(chart.instanceId);
+  previous?.dispose();
+  instances.delete(chart.instanceId);
+  const chartVersion = (chartRenderVersions.get(chart.instanceId) || 0) + 1;
+  chartRenderVersions.set(chart.instanceId, chartVersion);
+  renderChart(chart, renderVersion, chartVersion);
+}
+
+function updateViewControls(chart, view) {
+  const card = document.getElementById(`card-${chart.instanceId}`);
+  if (!card) return;
+  card.querySelectorAll('.view-button').forEach((button) => {
+    button.dataset.active = String(button.dataset.view === view);
+  });
+  const source = card.querySelector('.src');
+  if (source) source.textContent = chartSource(chart);
+}
+
 function exportPNG(chartId, filename) {
   const instance = instances.get(chartId);
   if (!instance) return;
@@ -167,12 +190,19 @@ function renderCurrent() {
   renderCards(shell.cards, charts, activeViews, {
     onExport: exportPNG,
     onSelectView: (chart, view) => {
+      if (activeViews.get(chart.viewKey) === view) return;
       activeViews.set(chart.viewKey, view);
-      updateHash({ companyId: company.id, tabId: tab.id, chartId: chart.id, view });
+      state = normalizeState({ companyId: company.id, tabId: tab.id, chartId: chart.id, view });
+      history.pushState(null, '', serializeHash(state));
+      updateViewControls(chart, view);
+      renderSingleChart(chart);
     },
   });
   renderAnchors(shell.chartNav, charts, selectAnchor);
-  Promise.all(charts.map((chart) => renderChart(chart, version)));
+  charts.forEach((chart) => {
+    chartRenderVersions.set(chart.instanceId, (chartRenderVersions.get(chart.instanceId) || 0) + 1);
+  });
+  Promise.all(charts.map((chart) => renderChart(chart, version, chartRenderVersions.get(chart.instanceId))));
 }
 
 async function start() {

js/theme.js

@@ -108,6 +108,32 @@ export const periodAxis = {
   },
 };
 
+/**
+ * 独立期间轴：FY 为全年，H1/H2 为单独半年。
+ * 用于已拆分累计值的多时间维度图，避免把 H2 错写为全年。
+ */
+export function shortStandalonePeriod(label) {
+  return String(label)
+    .replace(/^20(\d{2})FY$/, '$1全年')
+    .replace(/^20(\d{2})/, '$1');
+}
+
+export const standalonePeriodAxis = {
+  ...categoryAxis,
+  axisLabel: {
+    ...categoryAxis.axisLabel,
+    formatter: shortStandalonePeriod,
+  },
+};
+
+export function financialViewLabel(view) {
+  return ({ all: '全部期间', annual: '年度', halfyear: '半年', quarter: '季度' })[view] || '全部期间';
+}
+
+export function financialViewDisclosure(view) {
+  return '';
+}
+
 export const titleStyle = {
   left: 'center',
   top: 18,

js/ui.js

@@ -79,13 +79,15 @@ export function renderCards(container, charts, activeViews, { onExport, onSelect
 
     if (viewNames.length > 1) {
       const switcher = element('div', 'view-switcher');
-      const labels = { annual: '年度', halfyear: '半年', quarter: '季度' };
+      const labels = { all: '全部', annual: '年度', halfyear: '半年', quarter: '季度' };
       viewNames.forEach((view) => {
-        switcher.append(button(labels[view] || view, {
+        const viewButton = button(labels[view] || view, {
           active: view === activeView,
           onClick: () => onSelectView(chart, view),
           className: 'view-button',
-        }));
+        });
+        viewButton.dataset.view = view;
+        switcher.append(viewButton);
       });
       bar.append(switcher);
     }

manifest.json

@@ -4,28 +4,28 @@
       "id": "ppmt",
       "name": "泡泡玛特",
       "chartCatalog": {
-        "ppmt-profit": { "key": "ppmt-profit", "title": "盈利能力", "csv": "data/ppmt/ppmt_profit.csv", "height": 680, "filename": "泡泡玛特盈利能力" },
+        "ppmt-profit": { "key": "ppmt-profit", "title": "盈利能力", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_profit.csv", "annual": "data/ppmt/ppmt_profit_annual.csv", "halfyear": "data/ppmt/ppmt_profit_halfyear.csv" }, "height": 680, "filename": "泡泡玛特盈利能力" },
         "ppmt-sankey": { "key": "ppmt-sankey", "title": "利润流向", "csv": "data/ppmt/ppmt_sankey_2026h1.csv", "height": 800, "filename": "泡泡玛特利润流向2026H1" },
-        "ppmt-growth": { "key": "ppmt-growth", "title": "营收到利润的增速对比", "csv": "data/ppmt/ppmt_growth.csv", "height": 700, "filename": "泡泡玛特营收到利润增速对比" },
+        "ppmt-growth": { "key": "ppmt-growth", "title": "营收到利润的增速对比", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_growth.csv", "annual": "data/ppmt/ppmt_growth_annual.csv", "halfyear": "data/ppmt/ppmt_growth_halfyear.csv" }, "height": 700, "filename": "泡泡玛特营收到利润增速对比" },
-        "ppmt-core-profit": { "key": "ppmt-core-profit", "title": "核心利润及同比增速", "csv": "data/ppmt/ppmt_core_profit.csv", "height": 720, "filename": "泡泡玛特核心利润及同比增速" },
+        "ppmt-core-profit": { "key": "ppmt-core-profit", "title": "核心利润及同比增速", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_core_profit.csv", "annual": "data/ppmt/ppmt_core_profit_annual.csv", "halfyear": "data/ppmt/ppmt_core_profit_halfyear.csv" }, "height": 720, "filename": "泡泡玛特核心利润及同比增速" },
-        "ppmt-core-margin": { "key": "ppmt-core-margin", "title": "核心利润率", "csv": "data/ppmt/ppmt_core_margin.csv", "height": 680, "filename": "泡泡玛特核心利润率" },
+        "ppmt-core-margin": { "key": "ppmt-core-margin", "title": "核心利润率", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_core_margin.csv", "annual": "data/ppmt/ppmt_core_margin_annual.csv", "halfyear": "data/ppmt/ppmt_core_margin_halfyear.csv" }, "height": 680, "filename": "泡泡玛特核心利润率" },
         "ppmt-bridge": { "key": "ppmt-bridge", "title": "净利率同比拆解", "csv": "data/ppmt/ppmt_margin_bridge.csv", "height": 700, "filename": "泡泡玛特净利率同比拆解" },
-        "ppmt-margins": { "key": "ppmt-margins", "title": "利润率与费用率拆解", "csv": "data/ppmt/ppmt_margins.csv", "height": 680, "filename": "泡泡玛特利润率与费用率拆解" },
+        "ppmt-margins": { "key": "ppmt-margins", "title": "利润率与费用率拆解", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_margins.csv", "annual": "data/ppmt/ppmt_margins_annual.csv", "halfyear": "data/ppmt/ppmt_margins_halfyear.csv" }, "height": 680, "filename": "泡泡玛特利润率与费用率拆解" },
-        "ppmt-assets": { "key": "ppmt-assets", "title": "资产结构演变", "csv": "data/ppmt/ppmt_assets.csv", "height": 680, "filename": "泡泡玛特资产结构" },
+        "ppmt-assets": { "key": "ppmt-assets", "title": "资产结构演变", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_assets.csv", "annual": "data/ppmt/ppmt_assets_annual.csv", "halfyear": "data/ppmt/ppmt_assets_halfyear.csv" }, "height": 680, "filename": "泡泡玛特资产结构" },
-        "ppmt-ip": { "key": "ppmt-ip", "title": "主要 IP 收入趋势", "csv": "data/ppmt/ppmt_ip.csv", "height": 720, "filename": "泡泡玛特IP收入趋势" },
+        "ppmt-ip": { "key": "ppmt-ip", "title": "主要 IP 收入趋势", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_ip.csv", "annual": "data/ppmt/ppmt_ip_annual.csv", "halfyear": "data/ppmt/ppmt_ip_halfyear.csv" }, "height": 720, "filename": "泡泡玛特IP收入趋势" },
         "ppmt-ip-share": { "key": "ppmt-ip-share", "title": "主要 IP 收入占比", "csv": "data/ppmt/ppmt_ip_share_2026h1.csv", "height": 720, "filename": "泡泡玛特IP收入占比2026H1" },
-        "ppmt-ip-share-history": { "key": "ppmt-ip-share-history", "title": "各 IP 半年收入占比", "csv": "data/ppmt/ppmt_ip_share_history.csv", "height": 700, "filename": "泡泡玛特各IP半年收入占比" },
+        "ppmt-ip-share-history": { "key": "ppmt-ip-share-history", "title": "各 IP 半年收入占比", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_ip_share_history.csv", "annual": "data/ppmt/ppmt_ip_share_history_annual.csv", "halfyear": "data/ppmt/ppmt_ip_share_history_halfyear.csv" }, "height": 700, "filename": "泡泡玛特各IP半年收入占比" },
-        "ppmt-ip-ex-monsters": { "key": "ppmt-ip-ex-monsters", "title": "除 THE MONSTERS 外的 IP 收入及同比", "csv": "data/ppmt/ppmt_ip_ex_monsters.csv", "height": 700, "filename": "泡泡玛特除MONSTERS外IP收入及同比" },
+        "ppmt-ip-ex-monsters": { "key": "ppmt-ip-ex-monsters", "title": "除 THE MONSTERS 外的 IP 收入及同比", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_ip_ex_monsters.csv", "annual": "data/ppmt/ppmt_ip_ex_monsters_annual.csv", "halfyear": "data/ppmt/ppmt_ip_ex_monsters_halfyear.csv" }, "height": 700, "filename": "泡泡玛特除MONSTERS外IP收入及同比" },
-        "ppmt-category": { "key": "ppmt-category", "title": "品类收入结构", "csv": "data/ppmt/ppmt_category.csv", "height": 680, "filename": "泡泡玛特品类结构" },
+        "ppmt-category": { "key": "ppmt-category", "title": "品类收入结构", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_category.csv", "annual": "data/ppmt/ppmt_category_annual.csv", "halfyear": "data/ppmt/ppmt_category_halfyear.csv" }, "height": 680, "filename": "泡泡玛特品类结构" },
         "ppmt-region-channel": { "key": "ppmt-region-channel", "title": "区域渠道分布", "csv": "data/ppmt/ppmt_region_channel_2026h1.csv", "height": 680, "filename": "泡泡玛特区域渠道分布2026H1" },
         "ppmt-region-yoy": { "key": "ppmt-region-yoy", "title": "区域渠道同比增速", "csv": "data/ppmt/ppmt_region_channel_yoy.csv", "height": 620, "filename": "泡泡玛特区域渠道同比增速" },
         "ppmt-region-yoy-timeseries": { "key": "ppmt-region-yoy-timeseries", "title": "区域渠道同比增速趋势", "csv": "data/ppmt/ppmt_region_channel_yoy_timeseries.csv", "height": 760, "filename": "泡泡玛特区域渠道同比增速趋势" },
-        "ppmt-cash-conversion": { "key": "ppmt-cash-conversion", "title": "经营现金流与净利润（年度）", "csv": "data/ppmt/ppmt_cash_conversion.csv", "height": 700, "filename": "泡泡玛特经营现金流与净利润" },
+        "ppmt-cash-conversion": { "key": "ppmt-cash-conversion", "title": "经营现金流与净利润", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_cash_conversion.csv", "annual": "data/ppmt/ppmt_cash_conversion_annual.csv", "halfyear": "data/ppmt/ppmt_cash_conversion_halfyear.csv" }, "height": 700, "filename": "泡泡玛特经营现金流与净利润" },
-        "ppmt-liquidity-working-capital": { "key": "ppmt-liquidity-working-capital", "title": "现金、负债与净营运资本", "csv": "data/ppmt/ppmt_liquidity_working_capital.csv", "height": 720, "filename": "泡泡玛特现金负债与净营运资本" },
+        "ppmt-liquidity-working-capital": { "key": "ppmt-liquidity-working-capital", "title": "现金、负债与净营运资本", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_liquidity_working_capital.csv", "annual": "data/ppmt/ppmt_liquidity_working_capital_annual.csv", "halfyear": "data/ppmt/ppmt_liquidity_working_capital_halfyear.csv" }, "height": 720, "filename": "泡泡玛特现金负债与净营运资本" },
-        "ppmt-cashflow-composition": { "key": "ppmt-cashflow-composition", "title": "三大现金流与现金净增加（年度）", "csv": "data/ppmt/ppmt_cashflow_composition.csv", "height": 700, "filename": "泡泡玛特三大现金流与现金净增加" },
+        "ppmt-cashflow-composition": { "key": "ppmt-cashflow-composition", "title": "三大现金流与现金净增加", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_cashflow_composition.csv", "annual": "data/ppmt/ppmt_cashflow_composition_annual.csv", "halfyear": "data/ppmt/ppmt_cashflow_composition_halfyear.csv" }, "height": 700, "filename": "泡泡玛特三大现金流与现金净增加" },
         "ppmt-working-capital-days": { "key": "ppmt-working-capital-days", "title": "营运资本效率", "csv": "data/ppmt/ppmt_working_capital_days.csv", "height": 700, "filename": "泡泡玛特营运资本效率" },
-        "ppmt-expense-structure": { "key": "ppmt-expense-structure", "title": "费用结构与费用率（年度）", "csv": "data/ppmt/ppmt_expense_structure.csv", "height": 700, "filename": "泡泡玛特费用结构与费用率" },
+        "ppmt-expense-structure": { "key": "ppmt-expense-structure", "title": "费用结构与费用率", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_expense_structure.csv", "annual": "data/ppmt/ppmt_expense_structure_annual.csv", "halfyear": "data/ppmt/ppmt_expense_structure_halfyear.csv" }, "height": 700, "filename": "泡泡玛特费用结构与费用率" },
-        "ppmt-channel-revenue": { "key": "ppmt-channel-revenue", "title": "渠道收入结构与增速", "csv": "data/ppmt/ppmt_channel_revenue.csv", "height": 720, "filename": "泡泡玛特渠道收入结构与增速" }
+        "ppmt-channel-revenue": { "key": "ppmt-channel-revenue", "title": "渠道收入结构与增速", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_channel_revenue.csv", "annual": "data/ppmt/ppmt_channel_revenue_annual.csv", "halfyear": "data/ppmt/ppmt_channel_revenue_halfyear.csv" }, "height": 720, "filename": "泡泡玛特渠道收入结构与增速" }
       },
       "tabs": [
         { "id": "overview", "name": "概览", "chartRefs": ["ppmt-growth", "ppmt-profit", "ppmt-ip-share", "ppmt-region-channel"] },

package.json

@@ -23,5 +23,5 @@
     "echarts": "5.5.1",
     "vite": "^8.2.2"
   },
-  "packageManager": "pnpm@10.32.1+sha512.a706938f0e89ac1456b6563eab4edf1d1faf3368d1191fc5c59790e96dc918e4456ab2e67d613de1043d2e8c81f87303e6b40d4ffeca9df15ef1ad567348f2be"
+  "packageManager": "pnpm@11.24.0"
 }

scripts/normalize_ppmt_financials.mjs

@@ -258,3 +258,389 @@ writeCSV('ppmt_channel_revenue.csv', [
 ], channelRows);
 
 console.log(`已生成现金转换 ${cashConversionRows.length}、流动性 ${liquidityRows.length}、现金流 ${cashflowCompositionRows.length}、营运资本 ${workingCapitalDaysRows.length}、费用 ${expenseRows.length}、渠道 ${channelRows.length} 行数据。`);
+
+// 多维度图表：FY 为全年，H1/H2 为独立半年。所有拆分和同比均在数据层完成。
+const VIEW_YEARS = Array.from({ length: 8 }, (_, index) => 2019 + index);
+const OUTPUT_START_YEAR = 2020;
+const HUNDRED_MILLION = 100000000;
+
+function isComplete(values) {
+  return values && Object.values(values).every((value) => Number.isFinite(value));
+}
+
+function subtractPeriod(fullYear, firstHalf) {
+  if (!isComplete(fullYear) || !isComplete(firstHalf)) return null;
+  return Object.fromEntries(Object.keys(fullYear).map((key) => [key, fullYear[key] - firstHalf[key]]));
+}
+
+function buildViews(readPeriod) {
+  const views = { all: [], annual: [], halfyear: [] };
+  VIEW_YEARS.forEach((year) => {
+    const h1 = readPeriod(year, 'H1');
+    const fy = readPeriod(year, 'FY');
+    const h2 = subtractPeriod(fy, h1);
+    if (h1) {
+      const row = { period: `${year}H1`, ...h1 };
+      views.halfyear.push(row);
+      views.all.push(row);
+    }
+    if (h2) {
+      const row = { period: `${year}H2`, ...h2 };
+      views.halfyear.push(row);
+      views.all.push(row);
+    }
+    if (fy) {
+      const row = { period: `${year}FY`, ...fy };
+      views.annual.push(row);
+      views.all.push(row);
+    }
+  });
+  return views;
+}
+
+function addPeriods(firstHalf, secondHalf) {
+  if (!isComplete(firstHalf) || !isComplete(secondHalf)) return null;
+  return Object.fromEntries(Object.keys(firstHalf).map((key) => [key, firstHalf[key] + secondHalf[key]]));
+}
+
+// IP、品类等运营数据的 H2 已是单独半年，年度值应由 H1 + H2 汇总。
+function buildViewsFromHalfYears(readPeriod) {
+  const views = { all: [], annual: [], halfyear: [] };
+  VIEW_YEARS.forEach((year) => {
+    const h1 = readPeriod(year, 'H1');
+    const h2 = readPeriod(year, 'H2');
+    const fy = addPeriods(h1, h2);
+    if (h1) {
+      const row = { period: `${year}H1`, ...h1 };
+      views.halfyear.push(row);
+      views.all.push(row);
+    }
+    if (h2) {
+      const row = { period: `${year}H2`, ...h2 };
+      views.halfyear.push(row);
+      views.all.push(row);
+    }
+    if (fy) {
+      const row = { period: `${year}FY`, ...fy };
+      views.annual.push(row);
+      views.all.push(row);
+    }
+  });
+  return views;
+}
+
+function yoyFor(rows, key, outputKey = key) {
+  const byPeriod = new Map(rows.map((row) => [row.period, row]));
+  return rows.map((row) => {
+    const year = Number(row.period.slice(0, 4));
+    const prior = byPeriod.get(`${year - 1}${row.period.slice(4)}`);
+    return {
+      ...row,
+      [outputKey]: prior && prior[key] !== 0 ? (row[key] / prior[key] - 1) * 100 : null,
+    };
+  });
+}
+
+function toOutputRows(rows, headers, digits = {}) {
+  return rows
+    .filter((row) => Number(row.period.slice(0, 4)) >= OUTPUT_START_YEAR)
+    .map((row) => headers.map((header) => {
+      if (header === 'period') return row.period;
+      const value = row[header];
+      return Number.isFinite(value) ? value.toFixed(digits[header] ?? 2) : '';
+    }));
+}
+
+function writeViewFiles(base, headers, views, digits) {
+  const filenames = {
+    all: `${base}.csv`,
+    annual: `${base}_annual.csv`,
+    halfyear: `${base}_halfyear.csv`,
+  };
+  Object.entries(filenames).forEach(([view, filename]) => {
+    writeCSV(filename, headers, toOutputRows(views[view], headers, digits));
+  });
+}
+
+const incomeDateIndex = new Map(income.dates.map((date, index) => [date, index]));
+const incomeColumns = {
+  revenue: row(income, '一、营业总收入'),
+  cost: row(income, '营业成本'),
+  sales_expense: row(income, '减：销售费用'),
+  admin_expense: row(income, '管理费用'),
+  net_profit: row(income, '三、净利润'),
+  non_gaap_net_profit: row(income, '非国际公认会计准则净利润'),
+};
+
+function incomePeriod(year, type) {
+  const date = `${year}-${type === 'H1' ? '06-30' : '12-31'}`;
+  const index = incomeDateIndex.get(date);
+  if (index === undefined) return null;
+  const result = Object.fromEntries(Object.entries(incomeColumns).map(([key, values]) => [key, values[index]]));
+  // 2020 年非 GAAP 净利未披露，沿用现有图表的归母净利替代口径。
+  result.non_gaap_net_profit ??= result.net_profit;
+  return isComplete(result) ? result : null;
+}
+
+const cashflowDateIndex = new Map(cashflow.dates.map((date, index) => [date, index]));
+const cashflowColumns = {
+  operating_cash_flow: row(cashflow, '经营活动产生的现金流量净额'),
+  investing_cash_flow: row(cashflow, '投资活动产生的现金流量净额'),
+  financing_cash_flow: row(cashflow, '筹资活动产生的现金流量净额'),
+  net_cash_increase: row(cashflow, '现金及现金等价物的净增加额'),
+};
+
+function cashflowPeriod(year, type) {
+  const date = `${year}-${type === 'H1' ? '06-30' : '12-31'}`;
+  const index = cashflowDateIndex.get(date);
+  if (index === undefined) return null;
+  const result = Object.fromEntries(Object.entries(cashflowColumns).map(([key, values]) => [key, values[index]]));
+  return isComplete(result) ? result : null;
+}
+
+function inBillion(values) {
+  return Object.fromEntries(Object.entries(values).map(([key, value]) => [key, value / HUNDRED_MILLION]));
+}
+
+const growthViews = buildViews((year, type) => {
+  const values = incomePeriod(year, type);
+  return values && {
+    non_gaap_net_profit: values.non_gaap_net_profit,
+    gross_profit: values.revenue - values.cost,
+    revenue: values.revenue,
+    cost: values.cost,
+  };
+});
+Object.keys(growthViews).forEach((view) => {
+  ['non_gaap_net_profit', 'gross_profit', 'revenue', 'cost'].forEach((key) => {
+    growthViews[view] = yoyFor(growthViews[view], key);
+  });
+});
+writeViewFiles('ppmt_growth', ['period', 'non_gaap_net_profit', 'gross_profit', 'revenue', 'cost'], growthViews, {
+  non_gaap_net_profit: 1, gross_profit: 1, revenue: 1, cost: 1,
+});
+
+const coreProfitViews = buildViews((year, type) => {
+  const values = incomePeriod(year, type);
+  return values && { core_profit: (values.revenue - values.cost - values.sales_expense - values.admin_expense) / HUNDRED_MILLION };
+});
+Object.keys(coreProfitViews).forEach((view) => {
+  coreProfitViews[view] = yoyFor(coreProfitViews[view], 'core_profit', 'yoy');
+});
+writeViewFiles('ppmt_core_profit', ['period', 'core_profit', 'yoy'], coreProfitViews, { core_profit: 2, yoy: 1 });
+
+const marginAmountViews = buildViews((year, type) => {
+  const values = incomePeriod(year, type);
+  return values && {
+    revenue: values.revenue,
+    gross_profit: values.revenue - values.cost,
+    sales_expense: values.sales_expense,
+    admin_expense: values.admin_expense,
+    non_gaap_net_profit: values.non_gaap_net_profit,
+  };
+});
+const marginsViews = Object.fromEntries(Object.entries(marginAmountViews).map(([view, rows]) => [
+  view,
+  rows.map((values) => {
+    if (values.revenue === 0) return values;
+    return {
+      period: values.period,
+      gross_margin: values.gross_profit / values.revenue * 100,
+      sales_expense_rate: values.sales_expense / values.revenue * 100,
+      admin_expense_rate: values.admin_expense / values.revenue * 100,
+      non_gaap_net_margin: values.non_gaap_net_profit / values.revenue * 100,
+    };
+  }),
+]));
+writeViewFiles('ppmt_margins', ['period', 'gross_margin', 'sales_expense_rate', 'admin_expense_rate', 'non_gaap_net_margin'], marginsViews, {
+  gross_margin: 2, sales_expense_rate: 2, admin_expense_rate: 2, non_gaap_net_margin: 2,
+});
+
+const cashConversionViews = buildViews((year, type) => {
+  const flow = cashflowPeriod(year, type);
+  const incomeValues = incomePeriod(year, type);
+  if (!flow || !incomeValues) return null;
+  return inBillion({
+    operating_cash_flow: flow.operating_cash_flow,
+    net_profit: incomeValues.net_profit,
+  });
+});
+Object.values(cashConversionViews).forEach((rows) => rows.forEach((row) => {
+  row.cash_conversion = row.net_profit === 0 ? null : row.operating_cash_flow / row.net_profit * 100;
+}));
+writeViewFiles('ppmt_cash_conversion', ['period', 'operating_cash_flow', 'net_profit', 'cash_conversion'], cashConversionViews, {
+  operating_cash_flow: 2, net_profit: 2, cash_conversion: 1,
+});
+
+const cashflowCompositionViews = buildViews((year, type) => {
+  const values = cashflowPeriod(year, type);
+  return values && inBillion(values);
+});
+writeViewFiles('ppmt_cashflow_composition', ['period', 'operating_cash_flow', 'investing_cash_flow', 'financing_cash_flow', 'net_cash_increase'], cashflowCompositionViews, {
+  operating_cash_flow: 2, investing_cash_flow: 2, financing_cash_flow: 2, net_cash_increase: 2,
+});
+
+const channelKeysForViews = [
+  ['零售店銷售收益', 'retail'],
+  ['線上銷售收益', 'online'],
+  ['機器人商店銷售收益', 'robot_store'],
+  ['批發收益', 'wholesale'],
+];
+const revenueDateIndex = new Map(revenueComposition.dates.map((date, index) => [date, index]));
+function channelPeriod(year, type) {
+  const index = revenueDateIndex.get(`${year}-Q${type === 'H1' ? 2 : 4}`);
+  if (index === undefined) return null;
+  const values = Object.fromEntries(channelKeysForViews.map(([name, key]) => [
+    key, revenueComposition.channels.get(`${name}:收入`)?.[index] ?? null,
+  ]));
+  const total = revenueComposition.channels.get('totalRevenue')?.[index] ?? null;
+  return isComplete({ ...values, total }) ? inBillion({ ...values, total_revenue: total }) : null;
+}
+
+const channelRevenueViews = buildViews(channelPeriod);
+Object.keys(channelRevenueViews).forEach((view) => {
+  channelRevenueViews[view] = yoyFor(channelRevenueViews[view], 'total_revenue', 'revenue_yoy');
+});
+writeViewFiles('ppmt_channel_revenue', ['period', 'retail', 'online', 'robot_store', 'wholesale', 'total_revenue', 'revenue_yoy'], channelRevenueViews, {
+  retail: 2, online: 2, robot_store: 2, wholesale: 2, total_revenue: 2, revenue_yoy: 1,
+});
+
+console.log('已生成首批六图的全部、年度、半年 CSV。');
+
+const profitViews = buildViews((year, type) => {
+  const values = incomePeriod(year, type);
+  return values && inBillion({
+    revenue: values.revenue,
+    gross_profit: values.revenue - values.cost,
+    net_profit: values.net_profit,
+  });
+});
+Object.values(profitViews).forEach((rows) => rows.forEach((item) => {
+  item.gross_margin = item.revenue === 0 ? null : item.gross_profit / item.revenue * 100;
+}));
+writeViewFiles('ppmt_profit', ['period', 'revenue', 'gross_profit', 'gross_margin', 'net_profit'], profitViews, {
+  revenue: 2, gross_profit: 2, gross_margin: 2, net_profit: 2,
+});
+
+const coreMarginViews = buildViews((year, type) => {
+  const values = incomePeriod(year, type);
+  return values && {
+    revenue: values.revenue,
+    core_profit: values.revenue - values.cost - values.sales_expense - values.admin_expense,
+  };
+});
+Object.values(coreMarginViews).forEach((rows) => rows.forEach((item) => {
+  item.core_margin = item.revenue === 0 ? null : item.core_profit / item.revenue * 100;
+}));
+writeViewFiles('ppmt_core_margin', ['period', 'core_margin'], coreMarginViews, { core_margin: 1 });
+
+const expenseAmountViews = buildViews((year, type) => {
+  const values = incomePeriod(year, type);
+  if (!values) return null;
+  const financialExpense = row(income, '财务费用')[incomeDateIndex.get(`${year}-${type === 'H1' ? '06-30' : '12-31'}`)];
+  return {
+    revenue: values.revenue,
+    sales_expense: values.sales_expense,
+    admin_expense: values.admin_expense,
+    financial_expense: financialExpense,
+  };
+});
+const expenseViews = Object.fromEntries(Object.entries(expenseAmountViews).map(([view, rows]) => [
+  view,
+  rows.map((item) => ({
+    ...inBillion(item),
+    period: item.period,
+    four_expense_rate: (item.sales_expense + item.admin_expense + item.financial_expense) / item.revenue * 100,
+  })),
+]));
+writeViewFiles('ppmt_expense_structure', ['period', 'sales_expense', 'admin_expense', 'financial_expense', 'four_expense_rate'], expenseViews, {
+  sales_expense: 2, admin_expense: 2, financial_expense: 2, four_expense_rate: 1,
+});
+
+function readRuntimeRows(filename) {
+  const [header, ...lines] = fs.readFileSync(path.join(OUTPUT_DIR, filename), 'utf8').trim().split(/\r?\n/);
+  const headers = header.split(',');
+  return lines.map((line) => Object.fromEntries(line.split(',').map((cell, index) => {
+    const value = Number(cell);
+    return [headers[index], cell !== '' && Number.isFinite(value) ? value : cell];
+  })));
+}
+
+function writeRuntimeViews(base, headers, views, digits = {}) {
+  writeViewFiles(base, headers, views, digits);
+}
+
+function buildWideIpViews(filename) {
+  const rows = readRuntimeRows(filename);
+  const id = Object.keys(rows[0])[0];
+  const sourcePeriods = Object.keys(rows[0]).slice(1).filter((period) => /H[12]$/.test(period));
+  const years = [...new Set(sourcePeriods.map((period) => period.slice(0, 4)))];
+  const halfyear = sourcePeriods;
+  const annual = years.filter((year) => sourcePeriods.includes(`${year}H1`) && sourcePeriods.includes(`${year}H2`)).map((year) => `${year}FY`);
+  const all = years.flatMap((year) => [
+    ...(sourcePeriods.includes(`${year}H1`) ? [`${year}H1`] : []),
+    ...(sourcePeriods.includes(`${year}H2`) ? [`${year}H2`, `${year}FY`] : []),
+  ]);
+  const valuesFor = (periods) => rows.map((row) => [row[id], ...periods.map((period) => {
+    if (!period.endsWith('FY')) return row[period];
+    return row[`${period.slice(0, 4)}H1`] + row[`${period.slice(0, 4)}H2`];
+  })]);
+  writeCSV(filename, [id, ...all], valuesFor(all));
+  writeCSV(filename.replace('.csv', '_annual.csv'), [id, ...annual], valuesFor(annual));
+  writeCSV(filename.replace('.csv', '_halfyear.csv'), [id, ...halfyear], valuesFor(halfyear));
+}
+
+buildWideIpViews('ppmt_ip.csv');
+buildWideIpViews('ppmt_ip_share_history.csv');
+
+const ipExMonstersRows = readRuntimeRows('ppmt_ip_ex_monsters.csv');
+function ipExMonstersPeriod(year, type) {
+  const row = ipExMonstersRows.find((item) => item.period === `${year}${type}`);
+  return row ? { revenue: row.revenue } : null;
+}
+const ipExMonstersViews = buildViewsFromHalfYears(ipExMonstersPeriod);
+Object.keys(ipExMonstersViews).forEach((view) => {
+  ipExMonstersViews[view] = yoyFor(ipExMonstersViews[view], 'revenue', 'yoy');
+});
+writeRuntimeViews('ppmt_ip_ex_monsters', ['period', 'revenue', 'yoy'], ipExMonstersViews, { revenue: 2, yoy: 1 });
+
+const categoryRows = readRuntimeRows('ppmt_category.csv').filter((item) => item.period !== '品类');
+function categoryPeriod(year, type) {
+  const row = categoryRows.find((item) => item.period === `${year}${type}`);
+  return row && { plush: row.plush, figure: row.figure, mega: row.mega, other: row.other };
+}
+const categoryViews = buildViewsFromHalfYears(categoryPeriod);
+writeRuntimeViews('ppmt_category', ['period', 'plush', 'figure', 'mega', 'other'], categoryViews, {
+  plush: 2, figure: 2, mega: 2, other: 2,
+});
+
+// 资产负债表为时点指标：H2 是年末时点，而非“全年累计”。
+function buildSnapshotViews(base, headers, digits) {
+  const source = readRuntimeRows(`${base}.csv`);
+  const views = { all: [], annual: [], halfyear: [] };
+  VIEW_YEARS.forEach((year) => {
+    const h1 = source.find((row) => row.period === `${year}H1`);
+    const yearEnd = source.find((row) => row.period === `${year}H2` || row.period === `${year}FY`);
+    if (h1) {
+      const row = { ...h1, period: `${year}H1` };
+      views.all.push(row);
+      views.halfyear.push(row);
+    }
+    if (yearEnd) {
+      const halfyearRow = { ...yearEnd, period: `${year}H2` };
+      views.all.push(halfyearRow);
+      views.halfyear.push(halfyearRow);
+      views.annual.push({ ...yearEnd, period: `${year}FY` });
+    }
+  });
+  writeRuntimeViews(base, headers, views, digits);
+}
+
+buildSnapshotViews('ppmt_assets', ['period', 'total_assets', 'cash_like', 'receivables', 'investment', 'operating_assets'], {
+  total_assets: 2, cash_like: 2, receivables: 2, investment: 2, operating_assets: 2,
+});
+buildSnapshotViews('ppmt_liquidity_working_capital', ['period', 'cash', 'total_liabilities', 'net_working_capital'], {
+  cash: 2, total_liabilities: 2, net_working_capital: 2,
+});
+
+console.log('已生成第二批连续图表的全部、年度、半年 CSV。');

test/regress.mjs

@@ -70,7 +70,7 @@ for (const entry of targets) {
     if (!csvPath.startsWith(`${ROOT}${path.sep}`)) throw new Error(`CSV 路径越过项目根目录：${entry.csv}`);
     const rows = parseCSV(fs.readFileSync(csvPath, 'utf8'));
     const chart = echarts.init(null, null, { renderer: 'svg', ssr: true, width: 1100, height: 720 });
-    const option = getChartBuilder(entry.key)(rows, { width: 1100, height: 720 });
+    const option = getChartBuilder(entry.key)(rows, { width: 1100, height: 720, view: entry.view || undefined });
     chart.setOption(option);
     const svg = chart.renderToSVGString();
     chart.dispose();