What problem does it solve? Building a discounted cash flow model by hand is slow and error-prone: growth without matching reinvestment inflates value, terminal assumptions silently break, and the bridge from operating assets to equity per share is easy to get wrong. This Skill runs the arithmetic deterministically from drivers you supply, so effort goes into the four judgments that matter — growth, margin, reinvestment, and risk. ## Core Features & Use Cases - Full DCF valuation: The value subcommand turns drivers (revenue growth, operating margin, sales-to-capital, tax rate, cost of capital) into a year-by-year FCFF forecast, terminal value, failure-risk adjustment, equity bridge, and value per share. - Sensitivity grids: The sensitivity subcommand re-runs the valuation across one or two driver axes (e.g., terminal growth vs. target margin) to show a range instead of a false point estimate. - Implied expectations: The implied subcommand solves backwards — given the market price, what growth or margin must the market already believe? - Use Case: Value a company growing 25% today but converging to 3%: pass a glide-path driver JSON to dcf.py value, then run implied against the current stock price to check whether the market's assumed margin is defensible. ## Quick Start Ask the agent to run a DCF valuation with your revenue growth, margin, sales-to-capital, and cost of capital assumptions and report the value per share plus what the current market price implies.
