stock-finance-profiler

DuPont analysis decomposes ROE into profitability, efficiency, and leverage components. This Skill computes ROE and over 20 core metrics from balance sheets, income statements, and cash flow data to reveal the exact drivers of returns.

Yes, stock fundamental analysis accepts JSON input containing your balance sheet, income statement, and cash flow data. It processes these statements to calculate liquidity, solvency, margins, and per-share metrics.

You can calculate 20+ financial metrics including ROA, ROE, margins, liquidity, solvency, efficiency, per-share values, and cash-flow indicators. The analysis outputs a human-readable report and an optional JSON payload.

No external data APIs are required for this fundamental analysis. It uses the Python standard library to perform self-contained calculations directly on user-provided financial statement data.

The best way to evaluate financial health for investment screening is computing comprehensive profitability and solvency metrics. This Skill structures raw financials into actionable insights and a DuPont decomposition for quick evaluation.

DuPont decomposition is needed because ROE alone hides whether returns come from operational efficiency, asset use, or debt. Breaking ROE down isolates these specific drivers, clarifying the true financial health of the investment.