Exit Multiple
Also known as Terminal Multiple, Exit Revenue Multiple, Exit EBITDA Multiple
An exit multiple is the valuation multiple (typically EV/Revenue or EV/EBITDA) applied to a company's projected financials at the time of a future sale or IPO, used to estimate terminal value in venture and DCF models. It is the dominant input in the venture capital method and in probability-weighted MOIC scenarios.
Formula
Exit Value = Exit Multiple * Exit-Year Fundamental- Exit Multiple
- EV/Revenue, EV/EBITDA, or other ratio at the projected exit date
- Exit-Year Fundamental
- Projected revenue, EBITDA, or other metric in the exit year
- Exit Value
- Implied enterprise value at exit, before equity waterfall
In depth
The exit multiple is the lever that makes or breaks a venture capital model. Per Damodaran, the venture capital method projects revenue or EBITDA to an exit year (often year 5 to 7), applies an exit multiple drawn from public comparables or recent M&A transactions, and discounts that terminal value back at the target IRR to set entry valuation. The same arithmetic feeds the MOIC scenario tree at investment committee.
Two failure modes dominate. First, anchoring on peak multiples that do not mean-revert. The 2000-2002 internet correction and the 2022-2023 software correction both demonstrated that current public-comp multiples are not stable inputs. Second, mixing exit-year multiples with the wrong fundamental: applying a profitable-SaaS EBITDA multiple to a company that is still loss-making at exit produces a number that no acquirer would pay.
The discipline is to source the multiple from a specific comp set, document why the comps are appropriate, and stress-test in both directions. For a probability-weighted MOIC, you typically build three to five scenarios with different exit multiples and assign probabilities.
Why it matters
Two analysts modeling the same Series A can produce 4x divergent MOIC estimates purely from different exit multiples. The number anchors the IC discussion: "what does this need to be worth in year six to clear our hurdle?" answers backward from a target IRR through a chosen exit multiple. A model that uses a single base-case multiple hides the sensitivity; one that varies the multiple across a scenario tree exposes it.
Worked example
A Series A investment of $5M for 20% post-money ($25M post-money), modeled to a year-six exit.
| Scenario | Year-6 ARR | Exit multiple | Exit value | Investor proceeds | MOIC |
|---|---|---|---|---|---|
| Upside | $200M | 15x | $3.0B | $600M | 120x |
| Base | $120M | 8x | $960M | $192M | 38x |
| Downside | $60M | 4x | $240M | $48M | 9.6x |
| Loss | $20M | 1x | $20M | $0 | 0x |
Probability-weighting at 10% / 35% / 35% / 20%:
pwMOIC = 0.10 * 120 + 0.35 * 38 + 0.35 * 9.6 + 0.20 * 0
= 12 + 13.3 + 3.4 + 0
= 28.7x
The headline base-case is 38x. The probability-weighted MOIC is 28.7x, and the spread between upside and downside multiples is the dominant driver. Shave the upside exit multiple from 15x to 10x and pwMOIC drops to about 24.7x.
Frequently asked
How do VCs pick an exit multiple?
Standard practice is to anchor on current trading multiples for the relevant public peer set, then either hold them flat or apply a haircut to reflect mean reversion. Damodaran warns explicitly against assuming current peak multiples persist: VCs who priced internet firms at 80x revenue in 2000 catastrophically overestimated exit values when multiples normalized.
Exit multiple vs perpetual growth: which terminal value method is better?
Exit multiple is more common in venture and PE because the holding period is 5-10 years, not infinite. Perpetual growth (Gordon model) is used in DCF for mature businesses with stable growth. The methods can disagree sharply: an aggressive exit multiple can imply a perpetual growth rate above GDP, which is structurally impossible long-term.
What's a typical exit multiple for a SaaS company?
Public SaaS EV/Revenue multiples have ranged from a peak above 20x in 2021 to roughly 5x to 8x for median performers in 2023-2024. Models typically use a target year exit multiple of 6x to 10x revenue for base case and stress to 3x to 4x for downside. EBITDA multiples for profitable SaaS often anchor at 20x to 30x.
How does exit multiple affect MOIC?
Exit multiple drives the exit-year enterprise value, which (after applying the cap-table waterfall) determines the fund's distribution. Doubling the exit multiple roughly doubles MOIC for late-stage positions. This is why probability-weighted MOIC (pwMOIC) requires multiple exit scenarios rather than a single point estimate.