EV/EBITDA Multiples in Precedent Transactions, Explained
EV/EBITDA is the most common multiple used to compare precedent M&A transactions. Here's what it measures, why it varies by sector, and how to read it correctly.
Enterprise Value to EBITDA (EV/EBITDA) is the most widely used multiple in precedent transaction analysis. It compares enterprise value—equity value plus debt and similar claims, less cash—to the earnings the business generates before interest, tax, depreciation and amortization.
Why EV/EBITDA, specifically
Two features make it the default choice for comparing deals:
- It’s capital-structure neutral. Enterprise value captures the whole business regardless of how much debt the target was carrying, so a highly levered company and an all-equity company can be compared on the same basis.
- EBITDA strips out accounting noise. Depreciation policy, financing decisions and tax jurisdiction vary company to company; EBITDA is a rough proxy for operating cash generation that’s less distorted by those choices than net income.
What moves the multiple
The same business can trade at very different multiples depending on:
| Driver | Effect on multiple |
|---|---|
| Sector | Software and healthcare services typically command higher multiples than industrials or distribution |
| Growth rate | Faster-growing targets command a premium |
| Margin quality | Recurring, high-margin revenue supports a higher multiple than project-based revenue |
| Buyer type | Strategic buyers with synergies often pay more than financial sponsors |
| Deal size | Larger, more liquid businesses tend to trade at a premium to small, owner-operated ones |
This is why a single “average multiple for the industry” is a weak substitute for a set of actual, sourced precedent deals filtered to a comparable sector, size band and time period.
Reading a multiple correctly
Before using a precedent multiple in your own analysis, check three things: what EBITDA figure was used (reported, adjusted, or normalized for add-backs), what period it covers (trailing twelve months vs. a forward estimate), and whether the deal included earnouts or contingent consideration that change the effective price paid. PrivyLogic surfaces the transaction and financial context available in its source data; if a period or consideration component is not recorded, return to the underlying disclosure and treat the omission as a limitation rather than assuming an answer.
EV/EBITDA is not universal. In capital-intensive sectors — utilities, infrastructure, telecoms, transportation, and heavy manufacturing — depreciation approximates the ongoing reinvestment required to sustain earnings, making EBIT a more relevant denominator. EV/EBIT Multiples in M&A Precedent Analysis covers when and how practitioners use EV/EBIT instead of EV/EBITDA, including how to normalize across a set that mixes the two metrics.