To calculate terminal value in a DCF, take the final year of your projection and apply one of two formulas: the Gordon Growth Method, which is FCF × (1 + g) / (WACC − g), or the exit multiple approach, which is Final Year EBITDA × Exit Multiple. Whichever you pick, the result sits in future dollars at the end of your forecast period and has to be discounted back to today before it joins the rest of the valuation. Terminal value usually drives 50% to 75% of the total DCF output, so the assumptions behind those formulas matter more than the arithmetic.
What You Need Before You Start
Three inputs feed every terminal value calculation: a cash flow or earnings figure from the last projected year, a discount rate, and either a long-term growth rate or a market multiple.
The starting metric comes from the last year of your explicit forecast, usually year five or year ten. The Gordon Growth Method uses unlevered free cash flow (cash left after operating expenses and capital expenditures but before debt payments). The exit multiple method typically uses EBITDA, because it strips out financing and accounting differences between companies.
Whatever figure you pull, it has to reflect normal, sustainable operations. Strip out one-time items: lawsuit settlements, startup costs for a new product line, unusual owner bonuses. A $3 million patent defense in the final projected year, if left in EBITDA, will depress terminal value as though the company litigates a patent case every year forever.
The discount rate is the Weighted Average Cost of Capital, which blends the cost of equity and the after-tax cost of debt in proportion to how much of each the company uses. The cost of equity typically comes out of the Capital Asset Pricing Model, anchored on the risk-free rate (the 10-year U.S. Treasury yield, around 4.1% as of early 2026).1Federal Reserve Economic Data. Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity
For the perpetual growth rate, there is a hard ceiling: it cannot exceed long-term nominal GDP growth, because no single company can outgrow the entire economy forever. The Congressional Budget Office projects real U.S. GDP growth averaging about 2.1% annually through 2030 and 1.8% through 2036.2Congressional Budget Office. The Budget and Economic Outlook: 2026 to 2036 Add roughly 2% for inflation and nominal growth lands near 4%. Most models use a perpetual rate between 2% and 3%.
For the exit multiple approach, you need an EV/EBITDA multiple from comparable public companies or recent transactions in the same sector. Multiples vary widely: a stable utility might trade at 8× while a high-growth software company trades at 20× or more. The multiple should reflect where the company will be at the end of the projection period, not where it is today.
The Gordon Growth Method
This method treats the company as a perpetuity growing at a constant rate forever.
Terminal Value = FCF × (1 + g) / (WACC − g)
Start by growing the final year’s cash flow forward one period. If the last projected free cash flow is $10,000,000 and the perpetual growth rate is 2%, the numerator is $10,000,000 × 1.02 = $10,200,000. That represents the first cash flow of the infinite period beyond your model.
Subtract the growth rate from the discount rate to get the denominator. With a WACC of 9% and growth of 2%, the denominator is 0.07. This spread is the engine of the formula, and tiny changes in it create enormous swings in the output.
Divide: $10,200,000 / 0.07 = $145,714,286. That is the terminal value as of the end of the projection period.
When the Formula Breaks
If the growth rate equals the discount rate, the denominator is zero and the result is undefined. If growth exceeds the discount rate, the denominator goes negative and the output is meaningless. Neither reflects reality; a company growing faster than its cost of capital in perpetuity would eventually consume the entire economy. When your denominator turns negative, the fix is not algebraic. It means your growth assumption is too aggressive for a perpetuity. Lower it, or switch to the exit multiple method.
The Exit Multiple Method
This approach skips the perpetuity math and asks what a buyer would pay for the business at the end of the projection period.
Terminal Value = Final Year EBITDA × Exit Multiple
If the company generates $20,000,000 in EBITDA in the final projected year and comparable companies trade at 8.5× EBITDA, terminal value is $20,000,000 × 8.5 = $170,000,000. That figure is an estimated sale price at the end of the forecast window.
Two choices in the multiple selection do most of the damage when they go wrong.
First, trailing versus forward multiples. LTM (last twelve months) multiples rest on real results and suit stable businesses. NTM (next twelve months) multiples fit companies where past performance doesn’t predict the future well, such as cyclicals at the bottom of a downturn or firms about to launch a major product. Mixing the two types will bias the valuation.
Second, cyclical businesses. If the final projected year lands at a peak or trough, that single year’s EBITDA distorts the result. Standard practice is to average EBITDA across a full business cycle. A mining company with $30 million in peak-year EBITDA and $8 million in trough-year EBITDA is better represented by a mid-cycle number than by whichever year your model happens to end on.
Multiple selection also depends on what you are valuing. Public trading multiples reflect minority positions; acquisition multiples reflect control transactions and typically run higher. Valuing a majority stake with minority trading multiples will undercount its worth, and the reverse will overcount it.
Discounting Terminal Value to Present Value
Both formulas produce a number expressed in future dollars as of the end of your projection period. To use it in a current valuation, discount it back:
Present Value of Terminal Value = Terminal Value / (1 + WACC)^n
Where n is the number of years in the projection period. For a five-year model with a 9% WACC and a terminal value of $145,714,286:
$145,714,286 / (1.09)^5 = $145,714,286 / 1.5386 = $94,706,866
That present value gets added to the sum of the discounted annual cash flows to produce total enterprise value. Even after discounting, terminal value typically represents half to three-quarters of the total DCF output.
Choosing Between the Two Methods
The Gordon Growth Method works best for stable, mature businesses with predictable trajectories and long operating histories: utilities, consumer staples, large industrial firms where growing at 2% to 3% forever isn’t a stretch. It also holds up when comparable transaction data is thin, since it relies on the company’s own fundamentals rather than what buyers happen to be paying right now.
The exit multiple approach fits transaction-oriented work: M&A advisory, private equity modeling, any situation where the question is “what could we sell this for?” It anchors the valuation in current market pricing, which is easier to defend in a negotiation. The trade-off is that multiples move with sentiment. A multiple pulled from a frothy market bakes optimism into a number that is supposed to describe value years from now.
Most experienced analysts run both and compare. If Gordon Growth produces $145 million and the exit multiple produces $170 million, the gap tells you something about the assumptions. Wide divergence usually means one method’s inputs need revisiting. Using both as a cross-check beats picking a favorite.
Why Small Input Changes Swing the Result So Hard
Terminal value is the most sensitive number in a DCF. In the Gordon Growth formula, the denominator is the spread between WACC and growth. When that spread is small, fractional changes produce wild results. Take a company with $10.2 million in adjusted first-year perpetuity cash flow:
- WACC 9%, growth 2% (spread of 7%): terminal value of $145.7 million
- WACC 8.5%, growth 2.5% (spread of 6%): terminal value of $170.0 million
- WACC 8%, growth 3% (spread of 5%): terminal value of $204.0 million
A one-point change in the spread moved the terminal value by $58 million, roughly 40%, on the exact same underlying business. This is why analysts build sensitivity tables across a grid of growth rates and discount rates. Those tables show how much of the answer rides on judgment rather than data.
A working rule: keep growth and WACC variations to no more than 0.5% in each direction across your sensitivity analysis. If the valuation swings 30% or more across that narrow band, the model is telling you it doesn’t have enough information to produce a reliable answer. Either tighten the inputs or extend the projection period so less weight lands on the terminal value.
Common Mistakes That Undermine the Result
The math is simple. The judgment calls are where things go wrong, and the same errors show up over and over.
- Setting the perpetual growth rate at 4% or 5% because recent growth has been that fast. Past growth during an expansion tells you nothing about a perpetual rate; the ceiling is long-term nominal GDP growth.
- Pulling an exit multiple from a deal that closed two years ago in a different interest rate environment. Multiples compress when rates rise and expand when rates fall.
- Forgetting to discount the terminal value back to present value. This shows up in quick models and overstates the company by the full compounding effect of the discount rate over the projection period.
- Using peak-year EBITDA for a cyclical business. If the projection ends at a cycle top, the final-year figure is inflated, and any reasonable multiple applied to it produces a number that represents the company at its best rather than on average.
- Running only one method and treating the output as authoritative. If Gordon Growth and the exit multiple disagree by more than 15% to 20%, at least one set of assumptions is off, and the disagreement is useful information rather than a problem to hide.
Terminal value is the largest line item in most DCF models and rests almost entirely on assumptions about what happens after the forecast ends. Treating those assumptions with the same rigor as the projected cash flows is what separates a valuation that holds up under scrutiny from one that doesn’t.