Stock Fundamental Analysis

Problem

When writing equity research notes, the hard part is not collecting numbers; it is keeping facts, assumptions, and opinions apart. A low P/E may look attractive, but it is meaningless without checking cash flow, leverage, competitive position, and accounting quality. This framework turns company analysis into an evidence chain for listed companies, covering financial statements, valuation, growth, profitability, FCF, balance-sheet strength, shareholder returns, and risks.

How it works

It follows a structured workflow:
- Define scope: confirm company, market, time horizon, and output depth so short-term catalysts are not mixed with long-term compounding.
- Company snapshot: summarize business model, revenue drivers, segments, customer concentration, and competitive position.
- Financial review: examine revenue growth quality, margins, free cash flow conversion, debt, liquidity, dilution, and working capital.
- Business quality: assess moat, pricing power, recurring revenue, cyclicality, operating leverage, and management capital allocation.
- Valuation and risk: compare P/E, EV/EBITDA, EV/Sales, Price/FCF, and DCF where useful, then check competitive, regulatory, refinancing, dilution, and accounting red flags.
- Conclusion: produce bull, base, and bear cases, key metrics to monitor, and a final view of attractive, watchlist, avoid, or insufficient data.

Boundaries

It is a research framework, not personalized investment advice or a prediction of returns. Its quality depends on the inputs: missing or stale filings, market data, and peer data must be stated clearly. It is useful for structured research notes, company comparison, and investment theses; it is not a substitute for compliance review, legal diligence, or real-time trading decisions.