stock-valuationlisted

# Stock Valuation ## ⚠️ Data Verification — Do This Before Any Analysis Before running any analysis, always retrieve the latest market data for the ticker: 1. **Fetch current price** — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data. 2. **Confirm key figures** — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill. 3. **State your data source** — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output. 4. **Flag stale data explicitly** — if live data is unavailable, display this warning before proceeding: > ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions. Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote. --- Derive a rigorous intrinsic value estimate using multiple independent valuation methodologies, then triangulate to a single probability-weighted target price. Never rely on a single method — cross-validation across DCF, comparable company analysis (CCA), EV/EBITDA, and residual income models builds conviction and exposes assumption fragility. ## Overview Valuation is an art grounded in financial science. Each method has strengths and weaknesses depending on the business type, stage of maturity, and data availability. T