Intrinsic Value from Cash Flows: Understanding DCF (and Distrusting Its Precision)

There is a definition of a company's worth that owes nothing to its share price: a company is worth all the cash it will produce over its life, brought back to today. That is intrinsic value, and the discounted cash flow — the DCF — is the method that tries to put a number on it.

The idea is elegant and the arithmetic is treacherous. Understanding a DCF is mostly about understanding where it lies.

The idea in one sentence

Buy a company and what you actually own are its future cash flows: the money it throws off, year after year, once wages, taxes and investment are paid. A DCF adds up those flows across the company's expected life, then corrects them for one thing: time.

Why discount

A dollar received in ten years is not worth a dollar today. Three reasons: you could have invested that dollar meanwhile, inflation erodes it, and nothing guarantees you will actually receive it. So we bring it back to its present value by dividing by a discount rate.

A verifiable example, at a rate of 9%:

The same $100, promised ten years out, is worth only $42 today. The higher the rate — because the business is risky, or money is expensive — the more the distant future fades. The discount rate is the price of time and risk.

Terminal value, where most of it hides

You cannot forecast cash flows until the end of time. In practice, you estimate them for five to ten years, then compress everything after that into a single figure: the terminal value. The most common formula assumes the flows then grow at a modest, steady rate forever.

If the final forecast flow grows 2.5% a year and is discounted at 9%, the terminal value is that flow multiplied by 1 ÷ (0.09 − 0.025) = 15.4 times. That is enormous — and that is the problem. In a typical DCF, terminal value is often two thirds or more of the total result. In other words, most of the value rests on the part you know least: what happens after your forecast horizon.

False precision

Here is the experiment that disarms everyone who treats a DCF as an oracle. Take the calculation above and change one assumption: the discount rate goes from 9% to 10%. The terminal multiple falls from 15.4 to 1 ÷ (0.10 − 0.025) = 13.3 times — nearly 14% less value, for a single percentage point nobody can pin down exactly.

A DCF hands you back exactly what you feed it. Be optimistic on growth, generous on the rate, and the model "proves" the stock is cheap. This is garbage in, garbage out: fragile assumptions produce a false conclusion, dressed in reassuring decimals. The danger is not the arithmetic, it is the confidence it inspires.

How a value investor actually uses it

Not as a price machine. Three honest uses:

• A range, not a point. Run the model with conservative assumptions, then optimistic ones. If the stock is cheap in both cases, the thesis holds. If it only looks attractive in the rosy scenario, be wary.
• The reverse DCF. Instead of producing a value, feed in the current price and ask: what growth is the market already assuming? If the price only makes sense with 15% annual growth for ten years, the question turns concrete — can this business actually deliver that?
• Margin of safety as a guardrail. Because the estimate is imprecise by nature, you only buy well below it. A DCF does not replace the margin of safety: it explains why you need one.

A DCF depends above all on one reliable input: the cash actually generated. That is why it goes hand in hand with free cash flow yield, which starts from observed cash rather than projected cash.

What we do with it

We publish no per-share intrinsic value. Printing a single DCF for each stock would display a false certainty — exactly what this article warns against. The Value score does not claim to say what a company is worth to the cent: it places a stock relative to the others in the same cohort, on the same day, on observed rather than projected multiples. A rank is more honest than a price target, because it does not pretend to a precision no model owns.

The Health score stays separate and answers a different question: will the business last long enough for those future flows to exist at all? Sound and cheap: a DCF speaks to the "cheap", never to the "sound". You can read how both scores are built on the method page, and see them applied in the ranking.

A DCF remains the best frame for thinking about value — as long as you hold it for what it is: a way to make your assumptions visible, not a machine for truth.

This article is information and education. It is not personalized investment advice. Investing carries a risk of capital loss.