EV/EBITDA

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What is EV/EBITDA?

EV/EBITDA is a valuation multiple that divides a company's Enterprise Value (EV) by its EBITDA. It answers the question: how many years of current EBITDA would it take to pay the full price of the business? A multiple of 8× means the buyer is paying eight years' worth of current EBITDA.

EV/EBITDA is the most widely used valuation multiple in M&A and private equity. Unlike the Price-to-Earnings (P/E) ratio, EV/EBITDA is capital-structure-neutral - both EV and EBITDA remove the effects of interest and tax, making it valid for comparing companies regardless of their debt levels or tax rates.

The multiple varies significantly by industry, growth rate, and margin profile. High-growth, high-margin businesses (SaaS, pharma) trade at premium multiples. Mature, lower-margin businesses (manufacturing, retail) trade at lower multiples. The appropriate multiple for any business reflects the market's expectation of future EBITDA growth and margin sustainability.

When to use EV/EBITDA

Use EV/EBITDA when valuing a business for acquisition, benchmarking against public market comparables, or assessing exit values in a leveraged buyout model. Always use forward EBITDA (the next twelve months' estimate) for an acquisition context, and trailing EBITDA for historical comparisons.

Worked examples for EV/EBITDA

This table quickly gives you the overview you need to understand EV/EBITDA and its most important comparisons.

Common pitfalls

EV/EBITDA can be misleading for capital-intensive businesses that require heavy CapEx. Two companies with identical EV/EBITDA ratios but different CapEx requirements are not equally valued - the one with higher CapEx generates less free cash from the same EBITDA. Always also calculate EV/EBIT and EV/FCF to triangulate.

Frequently asked questions about EV/EBITDA

What is a good EV/EBITDA multiple?

It is entirely industry-dependent. 8–12× is considered normal for many mid-market businesses. SaaS and tech can trade at 15–30× in strong markets. There is no universal "good" multiple - always compare against recent transactions and public comparables in the same sector.

Should I use LTM or NTM EBITDA for EV/EBITDA?

In M&A, NTM (Next Twelve Months, i.e. forward) EBITDA is typically used because buyers are paying for future performance. LTM (Last Twelve Months, i.e. trailing) EBITDA is used for historical benchmarking and when forward estimates are unreliable.

How is EV/EBITDA different from P/E?

P/E = Share Price / EPS, using Equity Value and Net Income - both affected by capital structure and taxes. EV/EBITDA is capital-structure-neutral and pre-tax. EV/EBITDA is preferred in M&A; P/E is more common in equity market contexts.

Test your knowledge

Quiz: how well do you know EV/EBITDA?

5 questions · ~2 min

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1. What does an EV/EBITDA multiple of 8x mean?

A The business is worth eight times its annual revenue B The buyer is paying eight years' worth of current EBITDA for the entire business C The company's equity is valued at eight times its net income D The business will pay back its purchase price in eight years at the current operating cash flow rate

ℹ The definition explains that EV/EBITDA answers the question: how many years of current EBITDA would it take to pay the full price of the business? A multiple of 8x means the buyer is paying eight years' worth of current EBITDA.

2. According to the FAQ, why is EV/EBITDA preferred over the P/E ratio in M&A?

A P/E ratios are only available for publicly traded companies, while EV/EBITDA can be calculated for private businesses B EV/EBITDA is calculated quarterly; P/E is only available annually and therefore less current C EV/EBITDA includes the effect of non-recurring items; P/E strips them out for a cleaner comparison D EV/EBITDA is capital-structure-neutral and pre-tax; P/E uses equity value and net income, which are affected by debt levels and tax rates

ℹ The FAQ explains that P/E = Share Price / EPS, using Equity Value and Net Income - both affected by capital structure and taxes. EV/EBITDA removes those effects, making it valid for comparing companies regardless of debt levels or tax rates.

3. According to the examples table, which industry typically trades at the highest EV/EBITDA multiple?

A SaaS / Cloud Software at 10x-25x B Healthcare services at 10x-18x C Consumer goods at 8x-14x D Industrial manufacturing at 5x-9x

ℹ The examples table shows SaaS / Cloud Software trades at 10x-25x - the highest range. Key drivers are high growth, high margins, and recurring revenue. Grocery / Food retail is at the bottom at 4x-7x due to thin margins and low growth.

4. What does the pitfalls section warn about comparing two companies with identical EV/EBITDA ratios?

A EV/EBITDA comparisons are only valid if both companies were acquired in the same calendar year B EV/EBITDA comparisons are unreliable unless both companies use identical revenue recognition policies C A company with higher CapEx requirements generates less free cash from the same EBITDA, so identical multiples can conceal very different valuations D The multiple must be adjusted for dividend yield before two companies can be directly compared

ℹ The pitfalls section states that two companies with identical EV/EBITDA but different CapEx requirements are not equally valued - the one with higher CapEx generates less free cash. The recommendation is to also calculate EV/EBIT and EV/FCF to triangulate.

5. According to the FAQ, which EBITDA figure should be used in an M&A acquisition context?

A LTM (Last Twelve Months) EBITDA, because historical performance is the most reliable basis for valuation B NTM (Next Twelve Months) EBITDA, because buyers are paying for future performance C The average of LTM and NTM EBITDA, to balance historical and forward-looking views D Five-year average EBITDA, to smooth out cyclical fluctuations in any single year

ℹ The FAQ states that in M&A, NTM (Next Twelve Months, i.e. forward) EBITDA is typically used because buyers are paying for future performance. LTM (Last Twelve Months, i.e. trailing) EBITDA is used for historical benchmarking and when forward estimates are unreliable.

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