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Enterprise Value to EBITDA

Enterprise Value to EBITDA, usually written EV/EBITDA, is a valuation multiple that compares a company's total enterprise value with its earnings before interest, taxes, depreciation and amortisation. It is one of the most widely used multiples for comparing companies of different sizes, debt levels and tax situations, and is a common yardstick in mergers and acquisitions.

Enterprise Value to EBITDA illustration - Money Master HQ finance glossary

What it means

EV/EBITDA answers a simple question: how many times a company's core operating earnings is the market, or a potential acquirer, willing to pay for the whole business? Because both the numerator and denominator are structured to be unaffected by financing choices, a company financed heavily with debt and one financed mostly with equity can be compared fairly, which is not true of equity-based multiples like the price-to-earnings ratio.

The multiple is especially popular in mergers and acquisitions because it approximates what a buyer is actually paying relative to the cash-generating power of the operations they are acquiring, independent of how the target happens to be financed today, since the acquirer will typically replace the existing capital structure with their own anyway. It is also useful across international comparisons, since EBITDA strips out the effect of different countries' tax rates and depreciation rules.

A lower EV/EBITDA multiple generally suggests a company is cheaper relative to its earnings, while a higher multiple suggests the market expects stronger future growth, or simply that the company operates in a sector that commands a premium, such as software, where multiples are often much higher than in capital-intensive industries like manufacturing or utilities. Comparing EV/EBITDA meaningfully requires comparing companies within the same industry, since typical multiples vary enormously between sectors.

The multiple has real limitations. EBITDA excludes capital expenditure, so a capital-intensive business and an asset-light business with identical EBITDA are not equally valuable, since the first needs to reinvest far more just to sustain its operations.

EV/EBITDA also says nothing about a company's growth prospects or the quality and sustainability of its earnings, both of which matter enormously to what a rational buyer should actually pay.

In practice

Real-world examples.

1

Example

A software company with strong recurring revenue trades at 18x EV/EBITDA, well above the 6x typical of an industrial manufacturer, reflecting the market's expectation of much faster future growth and higher margins.

2

Example

A private equity firm evaluating an acquisition target builds its offer around a target EV/EBITDA multiple, working backward from the seller's EBITDA to arrive at a proposed purchase price.

3

Example

An analyst notices a retailer's EV/EBITDA has fallen from 8x to 5x over two years without a corresponding drop in EBITDA, and investigates whether the market has simply become more pessimistic about the sector or whether company-specific risks have increased.

Think of it

EV/EBITDA shows the total cost to buy the company relative to its cash operating profits.

Formula

Calculation

EV/EBITDA = Enterprise Value / EBITDA Worked example. A logistics company has an enterprise value of $840 million and EBITDA of $120 million for the trailing twelve months. EV/EBITDA = $840,000,000 / $120,000,000 = 7.0x If a comparable competitor trades at 9.0x EBITDA, and this company's EBITDA is expected to hold steady, applying the peer multiple would imply an enterprise value of $120,000,000 x 9.0 = $1,080,000,000, roughly $240 million above the current valuation. An analyst would then ask why the discount exists: perhaps weaker growth prospects, higher customer concentration, or a genuinely different risk profile, before concluding the company is simply undervalued.

Case study

Seen in the real world.

A private equity fund was evaluating two competing bids for a specialty chemicals manufacturer with $95 million of trailing EBITDA. The seller's investment bank had marketed the deal at 8.5x EBITDA, implying an enterprise value of about $808 million. The fund's own analysis found that industry peers of similar size and growth traded at a median of 7.2x, and that the target's EBITDA included a one-off $12 million insurance settlement that would not recur.

Stripping that out left normalised EBITDA of $83 million. Applying the more conservative peer multiple of 7.2x to the normalised figure gave an enterprise value of $83,000,000 x 7.2 = $597,600,000, more than $200 million below the seller's asking price. The fund used this analysis to justify a materially lower bid, and ultimately won the deal at 7.4x normalised EBITDA after the seller accepted that the insurance settlement should not be treated as part of ongoing earnings.

Watch out

Common mistakes.

  • Comparing EV/EBITDA across companies in different industries without adjusting for their very different typical ranges, capital intensity and growth rates.
  • Using unadjusted EBITDA that includes one-off gains or losses, which distorts the multiple and can make a company look artificially cheap or expensive.
  • Ignoring capital expenditure entirely. A low EV/EBITDA multiple can be misleading for a business that must reinvest heavily just to maintain its current earnings.

Questions

People also ask.

What counts as a "good" EV/EBITDA multiple?

It depends entirely on the industry; software and healthcare often trade at teens or higher, while utilities and industrials often trade in the mid-single digits, so always compare within the same sector.

Why is EV/EBITDA preferred over price-to-earnings for comparing companies?

Because it is unaffected by differences in debt levels, tax rates and depreciation policies, making it a fairer basis for comparing operating performance across companies with different capital structures.

Can EV/EBITDA be negative or meaningless?

Yes, when EBITDA itself is negative, in which case the multiple is not a useful valuation tool and other methods, such as revenue multiples, are typically used instead.

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Last updated · September 8, 2026
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