Terminal value

Key takeaways

Terminal value typically accounts for 50–80% of total enterprise value in a DCF.
Two methods, both worth computing: Gordon growth (perpetual growth rate) and exit multiple (sell at a market multiple). Triangulate by checking the implied growth of one against the other.
Hard ceiling: perpetual growth cannot exceed long-run nominal GDP growth in the reporting currency (~2.0–2.5% in developed markets). Anything above 3% implies the business eventually consumes the economy.
Sense check: terminal as a % of total EV. Below 40% means terminal assumptions are very conservative or the explicit horizon is too long. Above 80% means the model is over-reliant on terminal — probably too short an explicit horizon.
Always discount the terminal at the same convention as the projection. Mid-year convention model? Discount terminal at period n − 0.5, not n.

Why terminal value exists

A DCF can't project to infinity — the analyst can't know the cash flow in year 47. The standard approach is an explicit forecast horizon of 5–10 years where you project cash flows year by year, then a single terminal value capturing everything after, computed at the end of year n and discounted back to today.

The two valid methods are Gordon growth and exit multiple. Different intellectual frameworks; a serious model triangulates both.

Gordon growth method

TV_n = FCF_n+1 / (WACC − g)

Implies the business grows free cash flow at g forever, with the FCF in year n+1 being FCF_n × (1 + g). The denominator is WACC minus terminal growth — and as g approaches WACC, the terminal value blows up.

Hard rule on g: the perpetual growth rate cannot exceed the long-run nominal GDP growth rate of the reporting currency. For developed markets that's ~2.0–2.5%. For emerging markets you can argue 3–4% on real terms but the inflation expectation also goes up. Anything above ~3% nominal in a developed-market DCF is implicitly assuming the business eventually grows larger than the economy — implausible by definition.

Common defaults: 2.0–2.5% for mature businesses in USD, 0–1% for declining industries (tobacco, traditional retail), 2.5% as the upper bound for "stable but still growing" companies.

Exit multiple method

TV_n = EBITDA_n × Exit multiple

Implies the business is sold at year n at a market multiple of EBITDA (or EBIT, or revenue, depending on industry). The multiple should match what comparable mature businesses currently trade at — by year n, your target should have matured into its sector.

The trap: using your target's current trading multiple as the exit multiple. If your target trades at 25× EBITDA today because it's growing 30% per year, using 25× at year 10 (when growth has presumably moderated) overstates terminal value materially. Pick a multiple appropriate for a mature, stable business in the same sector.

The triangulation check

Both methods should give similar answers. Compute the implied perpetual growth from your exit multiple:

Implied g = WACC − [ FCF_n+1 / TV_n ]

If the exit-multiple TV implies g = 5% and your Gordon TV uses g = 2.5%, the two are saying different things. Reconcile — one of the inputs is wrong. Common cause: the exit multiple is too high for a mature business (you're really applying a current-trading multiple, not a terminal multiple).

Discounting terminal correctly

The terminal value is computed at year n — the end of the projection. To get its present value, discount it back to today at the same convention as your free cash flows:

Year-end convention: discount terminal at period n. Discount factor = 1 / (1 + WACC)ⁿ.
Mid-year convention (IB standard): discount terminal at period n − 0.5. Discount factor = 1 / (1 + WACC)^{n − 0.5}.

Mixing conventions — discounting your projected FCFs at mid-year but the terminal at year-end — is a silent bug that overstates the terminal's PV by half a period of compounding. Pick one convention and apply it consistently.

Sense checks

Metric	Healthy range	What it tells you if outside
Terminal / Total EV	50–70%	Below 40%: explicit horizon may be too long. Above 80%: terminal-dependent, consider extending the explicit horizon.
Implied perpetual growth	1.5–3.0%	Above 3%: implausible long-run growth. Below 1%: implies real shrinkage — only appropriate for declining industries.
Exit multiple vs current peer multiples	Within ~20% of mature peers	Far above: assuming continued premium that's unlikely to persist. Far below: pessimistic — justify with structural argument.
Gordon vs Exit-multiple TV	Within 10%	Wide gap: one of the inputs is inconsistent. Triangulate.

Worked example

Year-5 FCF of $200M, WACC of 10%, terminal growth of 2.5%, mid-year convention.

Gordon TV = 200 × 1.025 / (0.10 − 0.025) = $2,733M.
Exit-multiple TV: assume year-5 EBITDA of $300M and a mature peer multiple of 9×. TV = 300 × 9 = $2,700M.
Triangulation: implied g from exit multiple = 0.10 − 200 × 1.025 / 2,700 = 2.4%. Within ~0.1% of Gordon — consistent.
PV of terminal at period 4.5: 2,733 × 1 / (1.10)^4.5 = 2,733 × 0.651 = $1,779M.

Common errors

Terminal growth above GDP growth. 4% perpetual growth implies the business outgrows the economy. Cap at long-run nominal GDP.
Using current trading multiple as exit multiple. Today's growth premium isn't the multiple a mature business will get a decade out.
Mixed discount conventions. FCFs at mid-year, terminal at year-end is a half-period bug worth ~5% of EV.
Failure to triangulate. Computing only one method leaves the answer unanchored. Compute both, check they agree.
Sensitising the wrong variables. The two-variable sensitivity that matters is WACC × terminal growth (or WACC × exit multiple). Sensitising other variables tells you less.

How Smalt AI builds it

Every DCF Smalt AI builds carries both terminal methods side-by-side with an explicit triangulation check:

Gordon TV with explicit perpetual growth driver, capped at sensible defaults (2.5% USD, 0% for declining industries unless explicitly overridden).
Exit-multiple TV with the multiple sourced from the comps tab — automatically pulled from peer set, not hardcoded.
Triangulation row showing implied g from the exit multiple, flagged red if the gap exceeds 1% from the Gordon assumption.
Mid-year discounting on the terminal — period n − 0.5 — applied automatically and consistently with the rest of the model.
Sensitivity tab with WACC × terminal growth and WACC × exit multiple as two of the three 5×5 tables. Center cells highlighted, full-recalc cells throughout.
Sanity check row reporting terminal as % of EV — flagged red if outside the 50–80% band.

Read more: DCF · Use case: financial modeling.