Definition

DCF vs Reverse DCF

One asks you to predict the future. The other asks you to judge someone else's prediction.

A discounted cash flow model projects future cash flows and discounts them to a present value, so you supply the assumptions and it returns a price. A reverse DCF runs the same machinery backwards: you supply the current price and it returns the growth rate the market must already be assuming.

The same equation, solved for a different unknown

There is one model here, not two. It relates cash flows, a growth rate, a discount rate and a price. A standard DCF holds the growth and discount rates fixed and solves for price. A reverse DCF holds the price and discount rate fixed and solves for growth.

That is a small mathematical difference and a large practical one, because it changes what you are being asked to be right about.

What each one asks of you

DCF:         "I think this grows 12% for ten years,
            then 3%, discounted at 9%."
            → returns "worth \$84 a share"

Reverse: "It trades at \$96. At a 9% discount rate,
            what growth does that require?"
            → returns "14% a year for a decade"

The first hands you a number that looks precise and inherits every error in your forecast. The second hands you a claim you can check against the company's actual record.

Why the reverse version is easier to use honestly

Forecasting a decade of cash flows is something almost nobody does well, and a DCF's output is exquisitely sensitive to those forecasts. Shift growth by two points and the discount rate by one and a $84 valuation becomes $60 or $120. The decimal place implies a confidence the inputs cannot support.

A reverse DCF sidesteps the problem by never asking you to forecast. Judging whether a company can compound at 14% for a decade is a far more tractable question than predicting what it will earn in year seven, and it is answerable from evidence: what has it actually done, how large is the market, how durable is the moat.

When the standard DCF is still the right tool

The practical habit

Run the reverse DCF first. If the implied growth is obviously achievable or obviously impossible, you are finished and you never needed a valuation. Only when it lands in the ambiguous middle is a full DCF worth building, and by then you know exactly which assumption the answer turns on.

Neither model says anything about business quality. A reasonable implied growth rate for a company with a collapsing moat is not a buy signal, which is why valuation sits last in a sensible sequence rather than first.

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Both models need inputs that only exist in some phases

Neither a DCF nor a reverse DCF works on a company with no stable cash flows, which rules out most of the first two lifecycle phases. Phase Check tells you where a company sits before you build anything.

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Frequently asked questions

They are the same model solved for different unknowns. A DCF takes your growth and discount assumptions and returns a value. A reverse DCF takes the market price and returns the growth rate that price implies. One asks you to forecast; the other asks you to judge a forecast.
The reverse DCF, in most cases. It requires no forecasting, and judging whether a company can sustain a stated growth rate is far more tractable than predicting its cash flows a decade out. It also makes disagreement concrete rather than a clash of opinions.
For stable businesses with predictable cash flows, yes, and it is genuinely useful for scenario work, since it shows how much of the value depends on a single assumption. For anything volatile or early-stage the output inherits too much uncertainty to be trusted.
The annual return you require to own the stock rather than a theoretical cost of capital, because the model is informing your decision. Many investors use 8% to 12%. Run a range rather than a single figure, since the result moves with it.
That is the best practice. Run the reverse DCF first to see what the price assumes. If the implied growth is clearly achievable or clearly absurd you are done. Build the full DCF only for the ambiguous cases, where you now know which assumption matters.

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