Value = Σ FCFₜ ÷ (1 + WACC)ᵗ + Terminal ValueA valuation model exists to estimate long-term cash generation — not to find the statistically cheapest ticker on the screen.
DCF (Discounted Cash Flow)
A valuation method that says a business is worth the sum of all the cash it will ever produce — with future cash counted for less than cash today.
What is a DCF (discounted cash flow)?
A discounted cash flow analysis estimates a business's value as the sum of its forecast future free cash flows, each discounted back to present value using a required rate of return. It is the theoretically correct way to value any cash-producing asset — every other method, like multiples or comparables, is a shortcut approximation of it.
- Future cash is worth less than cash today, so the discount rate prices both opportunity cost and risk.
- Value equals a forecast period of cash flows plus a terminal value, discounted to now.
- A DCF output is a range built on assumptions, not a single precise answer.
Definition
A discounted cash flow analysis estimates a business's value by forecasting its future free cash flows and discounting each one back to present value using a required rate of return. The sum of those present values — usually a forecast period plus a terminal value — is the estimated intrinsic value.
Discounting exists because a dollar next year is worth less than a dollar today: it could have been invested meanwhile, and it might not arrive at all. The discount rate prices both that opportunity cost and that risk.
Why it matters
The DCF is the theoretically correct way to value any cash-producing asset — every other method (multiples, comparables) is a shortcut approximation of it. Even when you never build the model, DCF logic disciplines your thinking: value comes from cash, timing, and certainty, nothing else.
Simple example
A machine will produce $1,000 of cash each year for three years, then stop. At a 10% discount rate, those flows are worth $909 + $826 + $751 = $2,486 today. Pay less than that, and your expected return exceeds 10%; pay more, and it falls short. A company DCF is the same arithmetic with longer, more uncertain flows.
Common misconception
"The DCF output is the answer." A DCF is precise-looking arithmetic wrapped around uncertain guesses. Small changes in growth or discount rate swing the output dramatically. Used honestly — as a range plus sensitivity analysis — it is a powerful discipline. Used as a single number, it is false confidence.
- 1Future cash is worth less than cash today, so the discount rate prices both opportunity cost and risk.
- 2Value equals a forecast period of cash flows plus a terminal value, discounted to now.
- 3A DCF output is a range built on assumptions, not a single precise answer.
| Shortcut | A valuation method that says a business is worth the sum of all the cash it will ever produce — with future cash counted for less than cash today. |
|---|---|
| Disciplined workflow | Future cash is worth less than cash today, so the discount rate prices both opportunity cost and risk. → Value equals a forecast period of cash flows plus a terminal value, discounted to now. → A DCF output is a range built on assumptions, not a single precise answer. |
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True story · Warren Buffett
A fair price for a wonderful business
In 1988, just months after the Black Monday crash, Warren Buffett quietly began buying Coca-Cola shares. By 1989 Berkshire had spent roughly $1 billion — at about 15 times earnings, hardly a statistical bargain. Wall Street was puzzled: the "cigar-butt" student of Graham was paying up for a household brand.
Buffett was not valuing the next quarter. He was estimating decades of predictable owner earnings from a product sold in nearly every country on earth, protected by the strongest brand moat in consumer goods. Ten years later the stake was worth more than $13 billion, and Berkshire still holds it today — the annual dividends alone now return a large share of the original cost every single year.
A valuation model exists to estimate long-term cash generation — not to find the statistically cheapest ticker on the screen.
≈$1Binvested 1988–89
≈$13Bvalue ten years later
35+ yrsstill held by Berkshire
True story · The Nifty Fifty, 1972
When the price already assumed a miracle
In 1972, institutions convinced themselves that about fifty "one-decision" growth stocks could be bought at any price and never sold. Polaroid traded above 90 times earnings, McDonald's and Disney near 80, Avon around 65. Run the arithmetic backwards and those prices quietly assumed decades of flawless, ever-accelerating growth.
The 1973–74 bear market repriced the dream: the group fell 60–90%, and Polaroid eventually went bankrupt. The cruel detail is that many of the businesses kept growing exactly as promised — the investments still failed, because the starting price had already spent the future.
Run the DCF backwards: ask what growth today's price assumes, then ask honestly whether reality can deliver it.
90×Polaroid's P/E at the top
−60–90%drawdown in 1973–74
10+ yrsto recover, if ever
True story · PetroChina, 2003
A valuation done with an annual report and a weekend
Buffett read PetroChina's annual report at home and pegged the company's value at roughly $100 billion. The market was pricing it near $37 billion. He built no spreadsheet, met no management, sought no second opinion — the gap was too wide to need precision. Berkshire bought about $488 million of the Hong Kong-listed shares.
By 2007, rising oil prices and a re-rating had carried PetroChina's market value past $250 billion. Buffett sold the entire stake for about $4 billion — roughly an eight-fold return plus dividends — and moved on.
When value is triple the price, ordinary accuracy is enough. The best decisions rarely require the most elaborate models.
$37B vs $100Bprice vs estimated value
≈$488Minvested in 2003
≈8×realized by 2007
Related tools
Frequently asked questions
How many years should a DCF forecast?
Typically 5–10 years explicitly, with a terminal value for everything after. Longer explicit forecasts add false precision rather than accuracy.
Why do analysts get different DCF values for the same company?
Because the inputs are judgments — growth, margins, discount rate, terminal assumptions. The model is shared; the assumptions are personal. That is why documenting them matters.
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