1 files changed, 82 insertions, 0 deletions
diff --git a/components/financials.py b/components/financials.py
new file mode 100644
index 0000000..547aedb
--- /dev/null
+++ b/components/financials.py
@@ -0,0 +1,82 @@
+"""Financial statements — Income Statement, Balance Sheet, Cash Flow."""
+import pandas as pd
+import streamlit as st
+from services.data_service import get_income_statement, get_balance_sheet, get_cash_flow
+from utils.formatters import fmt_large
+
+
+def _format_statement(df: pd.DataFrame) -> pd.DataFrame:
+    """Format a yfinance financial statement for display."""
+    if df.empty:
+        return df
+
+    # Columns are datetime; convert to year strings
+    df = df.copy()
+    df.columns = [str(c)[:10] for c in df.columns]
+
+    # Add YoY % change columns if >= 2 periods
+    cols = list(df.columns)
+    result = pd.DataFrame(index=df.index)
+
+    for i, col in enumerate(cols):
+        result[col] = df[col].apply(_fmt_cell)
+        if i + 1 < len(cols):
+            prev_col = cols[i + 1]
+            yoy = df.apply(
+                lambda row: _yoy_pct(row[col], row[prev_col]), axis=1
+            )
+            result[f"YoY {col[:4]}"] = yoy
+
+    return result
+
+
+def _fmt_cell(value) -> str:
+    try:
+        v = float(value)
+    except (TypeError, ValueError):
+        return "—"
+    return fmt_large(v)
+
+
+def _yoy_pct(current, previous) -> str:
+    try:
+        c, p = float(current), float(previous)
+        if p == 0:
+            return "—"
+        pct = (c - p) / abs(p) * 100
+        arrow = "▲" if pct >= 0 else "▼"
+        return f"{arrow} {abs(pct):.1f}%"
+    except (TypeError, ValueError):
+        return "—"
+
+
+def render_financials(ticker: str):
+    col1, col2 = st.columns([1, 3])
+    with col1:
+        freq = st.radio("Frequency", ["Annual", "Quarterly"], horizontal=False)
+    quarterly = freq == "Quarterly"
+
+    tab_income, tab_balance, tab_cashflow = st.tabs(
+        ["Income Statement", "Balance Sheet", "Cash Flow"]
+    )
+
+    with tab_income:
+        df = get_income_statement(ticker, quarterly=quarterly)
+        if df.empty:
+            st.info("Income statement data unavailable.")
+        else:
+            st.dataframe(_format_statement(df), use_container_width=True)
+
+    with tab_balance:
+        df = get_balance_sheet(ticker, quarterly=quarterly)
+        if df.empty:
+            st.info("Balance sheet data unavailable.")
+        else:
+            st.dataframe(_format_statement(df), use_container_width=True)
+
+    with tab_cashflow:
+        df = get_cash_flow(ticker, quarterly=quarterly)
+        if df.empty:
+            st.info("Cash flow data unavailable.")
+        else:
+            st.dataframe(_format_statement(df), use_container_width=True)