Valuation Multiples Explained: EV/Sales & EV/EBITDA

Ask three investors what a company is worth and you will often get one number back: a multiple. “It went for 6× revenue.” “We paid 12× EBITDA.” The multiple is private-market valuation’s universal currency because it compresses a complex judgement, about growth, profitability and risk, into a single, comparable figure. That compression is exactly what makes it useful, and exactly what makes it dangerous when applied without care.

This article sits at the centre of the market approach: the family of methods that price a company against comparable companies and deals. Once you understand what a multiple is, the two techniques that produce them, Comparable Company Analysis (CCA) and Precedent Transaction Analysis (PTA), become much easier to use well.

What is a valuation multiple?

A valuation multiple is a ratio between a company’s value and a measure of its economic output. It answers a simple question: how many times a given financial metric is the business worth? If a company generates €10m of revenue and changes hands for €30m, its enterprise-value-to-sales multiple is 3×.

Two definitions of “value” are in circulation, and confusing them is the most common beginner error:

• Enterprise Value (EV), the value of the whole operating business, independent of how it is financed. EV is what you multiply against operating metrics like revenue or EBITDA.
• Equity Value, the value of the shares only, after net debt. Equity multiples (such as the price-to-earnings ratio) sit on top of EV multiples once capital structure is accounted for.

For private companies the enterprise-value multiples dominate, because they let you compare businesses with very different debt loads on a like-for-like basis.

What a multiple actually encodes

It is tempting to treat a multiple as a number you look up. In reality, every multiple is the visible tip of a discounted-cash-flow argument. A revenue multiple silently assumes that the business will eventually convert sales into a sustainable operating margin, hold that margin for a meaningful period, and carry a particular level of risk in its discount rate. Change any of those assumptions and the justified multiple moves.

This is why two companies with identical revenue can trade at wildly different multiples. The one growing 60% a year with software margins deserves a higher number than the one growing 10% a year on thin margins, not because the rule book says so, but because its future cash flows are larger and arrive sooner. The relationship can be summarised informally:

Keeping this in mind protects you from the classic trap: borrowing a peer’s headline multiple without checking whether your company shares the growth and margin profile that earned it.

EV/Sales: the revenue multiple

EV/Sales divides enterprise value by revenue. Its great advantage is that revenue is almost always positive and relatively hard to manipulate, which makes the multiple usable even for young, fast-growing, not-yet-profitable companies. That is precisely the population where earnings-based multiples break down, so EV/Sales has become the default lens for software and high-growth businesses.

The trade-off is that revenue says nothing about profitability. A company can grow the top line impressively while burning cash on every sale. Used alone, EV/Sales rewards growth and ignores quality, which is why disciplined investors always pair it with a margin or efficiency check, such as the Rule of 40 and unit-economics metrics.

EV/EBITDA: the earnings multiple

EV/EBITDA divides enterprise value by earnings before interest, taxes, depreciation and amortisation. By stripping out financing and accounting choices, EBITDA approximates the operating cash generation of the business, which makes EV/EBITDA the multiple of choice for mature, profitable companies where earnings are stable and meaningful.

Its weakness is the mirror image of EV/Sales: EBITDA can be small, volatile, or negative for early-stage companies, at which point the multiple becomes meaningless or absurdly large. There is also a quality caveat, EBITDA flatters businesses with heavy capital expenditure or large stock-based compensation, so it should be read alongside, not instead of, free cash flow.

A worked example

Suppose you are valuing a private software company with €40m of last-twelve-months revenue. You assemble a small peer group and pull their EV/Sales multiples:

Applying the 5.5× base multiple to €40m of revenue gives an indicative enterprise value of €220m. But that is a starting point, not an answer. The peers are larger and more established; your company may grow faster but burn more cash, and it is illiquid. Under the IPEV framework this is where calibration takes over, adjusting the raw multiple for the specific differences between your company and the peer set before you trust the number.

Multiples are not constant, they move with the cycle

The single biggest mistake practitioners make is treating a multiple as a fixed property of a sector. It is not. The same business commands very different multiples depending on the macro environment, because interest rates feed straight into the discount rate applied to future cash flows. When money is cheap, multiples expand; when capital costs rise, they compress.

This cyclicality is why a multiple borrowed from a deal eighteen months ago can be badly wrong today, and why the IPEV 2025 guidelines insist that valuations be recalibrated to current market conditions rather than frozen at the last round. We unpack the mechanics, and the stage and regional adjustments that go with them, in Multiples Through the Cycle.

Common pitfalls to avoid

• Borrowing a headline multiple. A peer’s multiple reflects the peer’s growth and margins, not yours. Always calibrate.
• Mixing EV and equity metrics. Never put an enterprise value over a post-debt earnings figure, or vice versa.
• Ignoring the cycle. A multiple without a date is half a fact. Note the market environment it came from.
• Thin peer groups. Three comparables can be skewed by a single outlier, a young company with a tiny denominator can show a 60× multiple that means nothing.
• Confusing an average with a fair value. The market median is the input to a judgement, not the judgement itself.