company-valuation

# Company Valuation Triangulates intrinsic value via three methods, then blends them to an implied share price: 1. **DCF** — 5-year FCFF projection, discount at WACC, terminal value. 2. **Relative** — apply peer median P/E, EV/Revenue, EV/EBITDA. 3. **SOTP** — when 2+ distinct reporting segments exist, value each at pure-play peer multiples. Always present a WACC × terminal-growth sensitivity table and Bull/Base/Bear scenarios. **Disclaimer**: Research/educational output. Not financial advice. --- ## Step 1: Detection Flow Detect data source and runtime deps. The skill supports 2 method paths — pick the richest one available. **Environment status:** ``` !`python3 -c "exec('try:\n import yfinance, numpy, pandas\n print(\'YFIN_OK\')\nexcept Exception:\n print(\'YFIN_MISSING\')')"` ``` ``` !`python3 -c "exec('try:\n import yfinance as yf\n t=yf.Ticker(\'^TNX\')\n p=t.fast_info.last_price\n print(f\'RF_10Y={p/100:.4f}\')\nexcept Exception:\n print(\'RF_FETCH_FAIL\')')"` ``` **Decision tree:** | Condition | Method path | |---|---| | `YFIN_OK` | **Path A** (primary): yfinance for financials + peer multiples | | `YFIN_MISSING` | **Path B**: pip-install yfinance, then Path A. `python3 -m pip install -q yfinance numpy pandas` | | `RF_FETCH_FAIL` | Use default `rf = 0.045` and note stale risk-free rate in output | If `RF_10Y=` printed, use that value as `rf` in Step 4d instead of the hardcoded 4.5%. --- ## Step 2: Choose Methods & Set Defaults ### Method applicability ...