Review the forecast models, terminal value logic, discount-rate pipeline, and historical valuation rules behind the estimate.
DCF valuation, without the spreadsheet
From ticker to estimated value in seconds.
Enter a stock ticker. FastDCF runs the DCF calculation automatically, returns an estimated price, and gives you the context to continue your analysis.
How it works
From ticker to a valuation you can inspect
FastDCF handles the calculation, then gives you the result and supporting context for further analysis.
Illustrative example — not current market data
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Type in a tickerAAPL
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Automatic DCF calculationFinancial history loaded, forecast and discounting complete
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Get the estimated priceEstimated price $164.62Market price $295.50
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Use it for your analysis
Review the forecast, price history, assumptions, and market comparison.
Batch screening
Perform a quick valuation screening
Run the same DCF model across multiple tickers and quickly identify stocks that appear undervalued or overvalued under consistent assumptions. Use the results to decide which companies deserve deeper analysis.
Ticker list
4 tickers
AAPL
MSFT
GOOGL
NVDA
Shared settings
Same DCF assumptions for every ticker
Screening results
One model, comparable valuations
4 of 4 calculated
| Ticker | Estimated | Market | Difference | Model view |
|---|---|---|---|---|
| AAPL | $184.20 | $155.60 | +18.4% | Undervalued |
| MSFT | $392.10 | $418.50 | -6.3% | Overvalued |
| GOOGL | $205.40 | $181.30 | +13.3% | Undervalued |
| NVDA | $150.56 | $205.00 | -26.6% | Overvalued |
Illustrative values. Classification is relative to the model estimate.
Know what drives the estimate
The Methodology page explains the forecast models, discounting assumptions, terminal value logic, and the differences between latest-close and live-price comparisons.
Read practical guidance for running valuations, interpreting charts, understanding batch results, and judging model limitations.
Compare calculation quota, live-pricing access, saved workflow features, and historical valuations.
Use it as a filter, not a signal
FastDCF is most useful as a research filter for companies where an earnings-based DCF can be directionally informative. It is less reliable for businesses with unstable earnings, unusual accounting, or persistent gaps between earnings and cash generation.
This is a research tool, not investment advice. Use the estimate as an input into deeper work, not as a substitute for it.
For support or correction requests, use Contact us.
Ready to inspect a valuation?
Run a ticker through the same model and review the estimate, charts, and assumptions.