company-analysis

The skill turns a short company prompt into a structured investment memo by automatically routing it into the correct finance workflow, applying reverse DCF, forward DCF, and comps analysis, and outputting plain-text results.

Reverse DCF is a valuation method that starts from current market expectations to assess what a stock price implies. You need it for equity research to evaluate narrative-first expectations before running forward DCF models and avoid unsupported valuation claims.

Yes, you can use it for private company valuation, M&A, LBO, IPO, debt, and credit requests. The analysis requires minimal context from the user and applies web-verified data gathering to handle these specific finance situations.

To run sensitivity analysis and trading comps for investment research, input a company name or transaction question. The skill automatically generates these metrics alongside reverse DCF and deal-radar checks within a plain-text investment memo.

No, the output does not include markdown tables for financial modeling. The skill explicitly formats investment decisions as plain-text memos without markdown or tables, while tagging data as actual, estimated, or assumption to highlight uncertainty.