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Calculators / Strategy & Portfolio Lab / Coffee Can Quality Screener
Strategies

Coffee Can Quality Screener

Screen manually entered companies against configurable quality, growth, leverage and cash-conversion criteria; no buy/sell calls.

Methodology visibleStress-tested inputsNo buy/sell recommendation

Rule-based quality screen

One company per line: Name,RevenueCAGR%,ROCE%,DebtEquity,FCFConversion%,MarginVolatility%. Thresholds are user-set filters, not recommendations.

How to use this Coffee Can Quality Screener

The Coffee Can Quality Screener converts a qualitative long-horizon idea into explicit, user-defined accounting filters. It checks revenue growth, return on capital employed, debt-to-equity, free-cash-flow conversion and margin volatility. The screen deliberately avoids share-price targets and does not claim that passing all filters predicts future returns.

1. Enter factsReplace sample values with your portfolio, goal or market data.
2. Check assumptionsReturn, inflation, tax, cost and stress inputs remain visible.
3. Read the stress caseDo not rely on the base result alone when downside scenarios are available.

Calculation logic

Each company receives one pass/fail result for every entered threshold. A company that passes all five conditions is labelled only as meeting the entered filters. The result does not add hidden weights or a proprietary score. Input fields should be prepared consistently—for example, ROCE periods and revenue CAGR periods should be comparable across companies.

Worked interpretation

A company can have excellent historical ROCE and revenue growth but still be expensive, highly promoter-dependent or exposed to governance risk. Passing 5/5 therefore means exactly one thing: the supplied numbers satisfied the user's thresholds.

What this result does not prove

Accounting data can be restated, cyclical businesses can look weak or strong depending on the measurement window, and governance or valuation risk is not captured by these five metrics. Banks and financial companies can also require different capital and leverage interpretation. Source audited financial statements or a governed fundamentals dataset before relying on the screen.

Integrity rule: a calculation can be mathematically correct and still be decision-inappropriate if the inputs, source date or model assumptions are wrong. Finin2min therefore keeps model assumptions visible and avoids converting the result into a security recommendation.

Methodology, data and limitations

This Finin2min tool separates calculation from recommendation. Inputs, return assumptions and stress parameters remain visible and editable. Results are educational scenarios, not forecasts or suitability advice.

Data integrity: do not silently ship stale market/fund data. When the page uses imported official data, retain source authority, effective date, retrieval timestamp, parser version and SHA-256 in the investment data manifest.

Primary / official references

Questions & answers

What does the Coffee Can Quality Screener calculate?

The Coffee Can Quality Screener converts a qualitative long-horizon idea into explicit, user-defined accounting filters. It checks revenue growth, return on capital employed, debt-to-equity, free-cash-flow conversion and margin volatility. The screen deliberately avoids share-price targets and does not claim that passing all filters predicts future returns.

What assumptions drive the result?

Each company receives one pass/fail result for every entered threshold. A company that passes all five conditions is labelled only as meeting the entered filters. The result does not add hidden weights or a proprietary score. Input fields should be prepared consistently—for example, ROCE periods and revenue CAGR periods should be comparable across companies.

Can I treat the result as a forecast or recommendation?

No. The output is an educational scenario generated from the values entered. It does not predict market returns, recommend a security or establish suitability for an individual investor.

How should I handle market or mutual-fund data?

Use a current, complete dataset with a recorded effective date. Where the page requires imported scheme, NAV, TER, portfolio or industry data, Finin2min should publish or retain the source authority, retrieval date, parser version and file hash.

What are the main limitations?

Accounting data can be restated, cyclical businesses can look weak or strong depending on the measurement window, and governance or valuation risk is not captured by these five metrics. Banks and financial companies can also require different capital and leverage interpretation. Source audited financial statements or a governed fundamentals dataset before relying on the screen.

Financial information disclaimer: Investments involve risk. Calculations may omit taxes, costs, liquidity constraints, tracking difference, execution risk or individual circumstances unless explicitly entered. Verify current official documents before acting.

Guides on this topic

Background, worked examples and the rules behind these numbers.

Regulatory disclosure — SEBI

Finin2min is not registered with the Securities and Exchange Board of India (SEBI) as an Investment Adviser or as a Research Analyst. This tool performs an arithmetic calculation on the figures you enter and is published for general information and educational purposes only. It is not investment advice, it is not personalised to your financial circumstances, objectives or risk tolerance, and it is not a recommendation to buy, sell or hold any security, scheme or product. Projected values are illustrative and follow directly from the assumptions you supply; actual returns will differ, and past performance does not indicate future results. Consider consulting a SEBI-registered Investment Adviser before acting on any investment decision.