diff --git a/i18n/zh/msg.txt b/i18n/zh/msg.txt
index ebf01cf..489b27b 100644
--- a/i18n/zh/msg.txt
+++ b/i18n/zh/msg.txt
@@ -1 +1 @@
-{"模型性能监控":"Model Performance","供应商性价比对比":"Provider ROI","平均 TTFT":"Avg TTFT","成功率":"Success Rate","今日调用":"Today Calls","失败数":"Failures","模型性能":"Model Perf","供应商性价比":"Provider ROI","刷新":"Refresh"}
\ No newline at end of file
+{"模型性能监控":"Model Performance","供应商性价比对比":"Provider ROI","平均 TTFT":"Avg TTFT","成功率":"Success Rate","今日调用":"Today Calls","失败数":"Failures","模型性能":"Model Perf","供应商性价比":"Provider ROI","刷新":"Refresh","今日调用笔数":"Today's Calls","今日交易金额":"Today's Amount","今日活跃":"Active Today","在线用户":"Online Users","用户总数":"Total Users","用户":"Users","模型性能排行":"Model Performance","币种分布":"Revenue/Cost/Profit","币种成本收入":"Currency Cost/Revenue","币种费用":"Currency Cost","热门模型":"Popular Models","用户排行":"User Ranking","供应商排行":"Supplier Ranking","我的模型(按金额Top5)":"My Models (Top 5)","API Key排行":"API Key Ranking","财务概览":"Financial Overview","收入":"Revenue","成本":"Cost","毛利":"Gross Profit","累计":"Cumulative","当年":"This Year","当月":"This Month","当天":"Today","今天调用":"Today Calls"}
\ No newline at end of file
diff --git a/sage_datamart/dashboards.py b/sage_datamart/dashboards.py
index 01b4c69..589d618 100644
--- a/sage_datamart/dashboards.py
+++ b/sage_datamart/dashboards.py
@@ -514,7 +514,48 @@ async def get_customer_currency_stats(sor, org_filter, period='today'):
     FROM dm_model_call_fact f
     WHERE f.userorgid = ${{org}}$ {date_sql}
     GROUP BY f.currency ORDER BY revenue_cny DESC"""
-    recs = await sor.sqlExe(sql, ns)
-    return [{'currency': r.currency, 'call_count': int(r.call_count or 0),
-             'revenue': round(float(r.revenue or 0), 2),
-             'revenue_cny': round(float(r.revenue_cny or 0), 2)} for r in recs]
+async def get_financial_summary(sor, period='all'):
+    """平台级财务汇总：收入/成本/毛利（不分机构）
+    period: 'today' | 'month' | 'year' | 'all'
+    """
+    today_str = _date_module_date.today().isoformat()
+    ns = {'today': today_str}
+    date_sql = ""
+    if period == 'month':
+        date_sql = "AND call_date BETWEEN ${month_start}$ AND ${today}$"
+        ns['month_start'] = today_str[:7] + '-01'
+    elif period == 'year':
+        date_sql = "AND call_date BETWEEN ${year_start}$ AND ${today}$"
+        ns['year_start'] = today_str[:4] + '-01-01'
+    elif period == 'today':
+        date_sql = "AND call_date = ${today}$"
+
+    sql_rev = f"""SELECT
+        COALESCE(SUM(amount_cny), 0) as revenue_cny,
+        COUNT(*) as call_count
+    FROM dm_model_call_fact
+    WHERE 1=1 {date_sql}"""
+    recs = await sor.sqlExe(sql_rev, ns)
+    total_revenue_cny = round(float(recs[0].revenue_cny or 0), 2) if recs else 0
+    total_calls = int(recs[0].call_count or 0) if recs else 0
+
+    total_cost_cny = 0.0
+    try:
+        cost_sql = f"""SELECT COALESCE(SUM(c.total_amount_cny), 0) as total_cost_cny
+        FROM dm_provider_cost_daily c
+        WHERE 1=1 {date_sql.replace('call_date', 'c.stat_date')}"""
+        cost_recs = await sor.sqlExe(cost_sql, ns)
+        if cost_recs:
+            total_cost_cny = round(float(cost_recs[0].total_cost_cny or 0), 2)
+    except Exception:
+        pass
+
+    gross_profit_cny = round(total_revenue_cny - total_cost_cny, 2)
+
+    return {
+        'total_revenue_cny': total_revenue_cny,
+        'total_cost_cny': total_cost_cny,
+        'gross_profit_cny': gross_profit_cny,
+        'total_calls': total_calls,
+        'period': period,
+    }
diff --git a/sage_datamart/init.py b/sage_datamart/init.py
index f84aa88..087c652 100644
--- a/sage_datamart/init.py
+++ b/sage_datamart/init.py
@@ -17,6 +17,8 @@ from .dashboards import (
     get_distributor_top_customers,
     get_scoped_today_usage, get_scoped_today_amount,
     get_scoped_success_rate, get_scoped_fail_count,
+    get_distributor_financial, get_customer_currency_stats,
+    get_financial_summary,
 )
 
 MODULE_NAME = "sage_datamart"
@@ -529,6 +531,18 @@ async def j2_top_providers_data(request):
         return []
 
 
+async def api_financial_summary(request):
+    """平台级财务汇总 API"""
+    try:
+        env = request._run_ns
+        period = (request._run_ns.params_kw or {}).get('period', 'all')
+        async with get_sor_context(env, MODULE_NAME) as sor:
+            return await get_financial_summary(sor, period)
+    except Exception as e:
+        debug("sage_datamart API error: " + str(e))
+        return {}
+
+
 # ── Cron ETL ──
 
 async def cron_etl_sync(request):
@@ -599,6 +613,7 @@ def load_sage_datamart():
     env.j2_top_models_data = j2_top_models_data
     env.j2_top_users_data = j2_top_users_data
     env.j2_top_providers_data = j2_top_providers_data
+    env.api_financial_summary = api_financial_summary
     env.cron_etl_sync = cron_etl_sync
     env.cron_etl_aggregate = cron_etl_aggregate
     env.cron_etl_provider_cost = cron_etl_provider_cost
diff --git a/wwwroot/api/financial_chart.dspy b/wwwroot/api/financial_chart.dspy
new file mode 100644
index 0000000..688ac4c
--- /dev/null
+++ b/wwwroot/api/financial_chart.dspy
@@ -0,0 +1,9 @@
+import json
+period = (params_kw or {}).get('period', 'all')
+data = await request._run_ns.api_financial_summary(request)
+chart_data = [
+    {"metric": "收入", "value": data.get('total_revenue_cny', 0)},
+    {"metric": "成本", "value": data.get('total_cost_cny', 0)},
+    {"metric": "毛利", "value": data.get('gross_profit_cny', 0)},
+]
+return json.dumps(chart_data, ensure_ascii=False)
diff --git a/wwwroot/api/financial_summary.dspy b/wwwroot/api/financial_summary.dspy
new file mode 100644
index 0000000..2150a1a
--- /dev/null
+++ b/wwwroot/api/financial_summary.dspy
@@ -0,0 +1,5 @@
+import json
+env = request._run_ns
+period = (params_kw or {}).get('period', 'all')
+data = await env.api_financial_summary(request)
+return json.dumps(data, ensure_ascii=False)
diff --git a/wwwroot/sect_currency.ui b/wwwroot/sect_currency.ui
index 77ab177..0c2200e 100644
--- a/wwwroot/sect_currency.ui
+++ b/wwwroot/sect_currency.ui
@@ -1,10 +1,32 @@
 {
-    "widgettype": "ChartPie",
-    "options": {
-        "height": "200px",
-        "data_url": "/sage_datamart/api/currency_stats.dspy",
-        "nameField": "currency",
-        "valueFields": ["call_count"],
-        "pie_options": {"type": "pie", "radius": "60%"}
-    }
+    "widgettype": "VBox",
+    "options": {"width": "100%", "gap": "8px"},
+    "subwidgets": [
+        {
+            "widgettype": "HBox",
+            "options": {"gap": "4px"},
+            "subwidgets": [
+                {"widgettype": "Button", "id": "btn_all", "options": {"label": "累计", "i18n": true}},
+                {"widgettype": "Button", "id": "btn_year", "options": {"label": "当年", "i18n": true}},
+                {"widgettype": "Button", "id": "btn_month", "options": {"label": "当月", "i18n": true}},
+                {"widgettype": "Button", "id": "btn_today", "options": {"label": "当天", "i18n": true}}
+            ]
+        },
+        {
+            "widgettype": "ChartBar",
+            "id": "financial_chart",
+            "options": {
+                "height": "180px",
+                "data_url": "{{entire_url('/sage_datamart/api/financial_chart.dspy')}}?period=all",
+                "nameField": "metric",
+                "valueFields": ["value"]
+            }
+        }
+    ],
+    "binds": [
+        {"wid": "btn_all", "event": "click", "actiontype": "urldata", "target": "financial_chart", "options": {"url": "{{entire_url('/sage_datamart/api/financial_chart.dspy')}}?period=all"}},
+        {"wid": "btn_year", "event": "click", "actiontype": "urldata", "target": "financial_chart", "options": {"url": "{{entire_url('/sage_datamart/api/financial_chart.dspy')}}?period=year"}},
+        {"wid": "btn_month", "event": "click", "actiontype": "urldata", "target": "financial_chart", "options": {"url": "{{entire_url('/sage_datamart/api/financial_chart.dspy')}}?period=month"}},
+        {"wid": "btn_today", "event": "click", "actiontype": "urldata", "target": "financial_chart", "options": {"url": "{{entire_url('/sage_datamart/api/financial_chart.dspy')}}?period=today"}}
+    ]
 }