An open, continuously-updated index of real-world M&A valuation multiples (EV/EBITDA and EV/Revenue), broken out by sub-vertical and enterprise-value bracket. Built and maintained by ExitValue.ai.
Every number below is an aggregate median of disclosed M&A transactions — not an estimate, rule of thumb, or imputed value. Each published cell requires at least 10 disclosed deals (
n >= 10). Outliers are excluded (EV/EBITDA outside [0.5, 60.0]; EV/Revenue outside [0.05, 25.0]).
- Coverage: 25,476 unique completed transactions; 13,812 with disclosed EV/EBITDA, 24,645 with disclosed EV/Revenue.
- Published cells: 73 EV/EBITDA + 135 EV/Revenue across 46 sub-verticals.
- Source window: 2018-2026 (deals post-2018, from SEC EDGAR 8-K/S-4 filings, fairness opinions, and verified press releases).
- Last updated: 2026-06-21.
These are median EV/EBITDA exit multiples for small-business and lower-middle-market deals (enterprise value up to $100M) — the size range where most owner-operated companies actually transact. p25/p75 show the interquartile spread; n is the number of disclosed deals in the cell.
| Sub-vertical | EV bracket | Median EV/EBITDA | p25 | p75 | n (deals) |
|---|---|---|---|---|---|
| Ambulatory surgery center (ASC) | $5M-25M | 8.1x | 5.5x | 11.4x | 20 |
| Ambulatory surgery center (ASC) | $25M-100M | 9.5x | 6.8x | 12.2x | 11 |
| Dental practice | $5M-25M | 7.0x | 6.5x | 8.3x | 10 |
| Durable medical equipment (DME) | <$5M | 5.3x | 4.3x | 7.0x | 11 |
| Durable medical equipment (DME) | $5M-25M | 5.1x | 4.7x | 5.8x | 13 |
| Electronics | $25M-100M | 9.2x | 6.8x | 16.4x | 11 |
| Gaming | $25M-100M | 9.1x | 5.1x | 11.6x | 10 |
| Healthcare IT | $5M-25M | 9.5x | 7.0x | 14.4x | 10 |
| Home health | <$5M | 4.7x | 3.9x | 6.2x | 25 |
| IT services | $5M-25M | 7.0x | 5.3x | 8.6x | 13 |
| IT services | $25M-100M | 6.4x | 4.8x | 10.0x | 10 |
| Industrial equipment | $25M-100M | 8.6x | 6.2x | 12.1x | 19 |
| Medical devices | $25M-100M | 12.7x | 9.1x | 21.9x | 14 |
| Oil & gas services | $25M-100M | 3.7x | 2.2x | 7.5x | 15 |
| Primary-care practice | <$5M | 3.6x | 3.4x | 4.6x | 11 |
| SaaS | $5M-25M | 11.1x | 8.7x | 19.3x | 15 |
| SaaS | $25M-100M | 15.5x | 5.9x | 19.1x | 11 |
| Specialty medical practice | $5M-25M | 5.9x | 5.1x | 8.2x | 15 |
| Wholesale distribution | $25M-100M | 6.8x | 4.8x | 8.7x | 17 |
For reference, the same sub-verticals at larger deal sizes (multiples typically expand with scale):
| Sub-vertical | EV bracket | Median EV/EBITDA | p25 | p75 | n (deals) |
|---|---|---|---|---|---|
| Aerospace | >$500M | 14.2x | 12.9x | 16.9x | 24 |
| Apparel | >$500M | 5.9x | 3.8x | 10.1x | 11 |
| Auto parts | >$500M | 8.1x | 6.6x | 12.6x | 14 |
| Consulting | >$500M | 13.7x | 11.7x | 15.8x | 13 |
| Consumer products | >$500M | 10.1x | 8.9x | 12.2x | 19 |
| Dental practice | >$500M | 14.0x | 11.9x | 15.8x | 17 |
| Digital media | >$500M | 15.2x | 10.1x | 29.4x | 14 |
| Durable medical equipment (DME) | >$500M | 10.3x | 9.0x | 11.9x | 10 |
| Electrical utility | >$500M | 12.4x | 11.6x | 13.8x | 16 |
| Electronics | >$500M | 18.3x | 8.9x | 23.5x | 14 |
| Enterprise software | >$500M | 22.4x | 15.3x | 30.1x | 11 |
| Food manufacturing | >$500M | 12.9x | 10.2x | 17.3x | 32 |
| Gaming | >$500M | 14.5x | 9.6x | 20.9x | 18 |
| Health tech | >$500M | 25.7x | 15.7x | 34.7x | 12 |
| Healthcare IT | >$500M | 20.0x | 16.6x | 25.6x | 70 |
| Home health | >$500M | 11.6x | 10.4x | 15.4x | 19 |
| IT services | >$500M | 11.3x | 9.3x | 13.5x | 17 |
| Industrial equipment | >$500M | 13.2x | 11.0x | 16.8x | 30 |
| Laboratory services | >$500M | 22.2x | 17.4x | 29.5x | 14 |
| Medical devices | >$500M | 15.2x | 11.9x | 20.6x | 52 |
| Mental / behavioral health | $100M-500M | 13.5x | 10.0x | 15.5x | 21 |
| Metal fabrication | >$500M | 7.8x | 6.4x | 10.0x | 26 |
| Oil & gas services | >$500M | 7.5x | 5.0x | 11.3x | 159 |
| Packaging | >$500M | 9.9x | 7.6x | 12.1x | 19 |
| Pharmacy | >$500M | 18.3x | 11.9x | 20.9x | 21 |
| Physical therapy | >$500M | 14.3x | 11.2x | 15.0x | 11 |
| Primary-care practice | >$500M | 16.6x | 13.1x | 18.6x | 16 |
| Radio & television | >$500M | 8.3x | 6.7x | 11.8x | 16 |
| Restaurant (QSR) | >$500M | 11.5x | 9.2x | 16.0x | 22 |
| SaaS | >$500M | 27.9x | 15.8x | 39.6x | 37 |
| Specialty contractor | >$500M | 9.1x | 7.1x | 12.6x | 14 |
| Specialty medical practice | >$500M | 14.3x | 9.8x | 18.3x | 28 |
| Specialty retail | >$500M | 6.6x | 4.8x | 14.8x | 25 |
| Trucking | >$500M | 6.7x | 5.3x | 10.2x | 10 |
| Veterinary practice | >$500M | 18.8x | 15.6x | 22.0x | 15 |
| Wholesale distribution | >$500M | 10.7x | 8.8x | 13.4x | 49 |
Scope note. These are population medians by segment — the citable answer to "what does industry X sell for." They are not a valuation of any specific business. A real exit multiple is adjusted for margins, growth, customer concentration, and owner-dependence; that business-specific calculation lives in the free ExitValue.ai valuation tool. EV/Revenue medians (useful for thin-margin and pre-profit segments) are in
multiples.json.
| File | What's in it |
|---|---|
multiples.json |
Per (sub-vertical × EV-bracket) median + p25/p75 for EV/EBITDA, EV/Revenue. 73 EV/EBITDA + 135 EV/Revenue cells, each n >= 10. |
multiples-by-year.json |
Per (sub-vertical × year) date-stamped quartiles, 2018-2026. Tracks how multiples move over time. |
datapackage.json |
Frictionless Data descriptor for the two resources above. |
CITATION.cff |
Machine-readable citation metadata. |
{
"data": {
"dental-practice": {
"5m_25m_ev": {
"ev_ebitda": { "n": 10, "p25": 6.5, "p50": 7.0, "p75": 8.3 }
}
}
},
"source_window": "2018-2026",
"min_cell_n": 10
}p50 is the median. EV brackets: under_5m_ev, 5m_25m_ev, 25m_100m_ev, 100m_500m_ev, over_500m_ev.
Multiples are computed as aggregate quartiles of disclosed transaction multiples within each (sub-vertical × EV-bracket) cell, restricted to post-2018 deals. All metrics are at the time of acquisition, not current state. No values are estimated, imputed, or fabricated — cells without enough disclosed deals (n < 10) are simply omitted rather than filled in.
Full methodology and the live data: https://exitvalue.ai/methodology State of SMB & Mid-Market M&A report: https://exitvalue.ai/research
Data licensed CC BY 4.0 — free to use, including commercially, with attribution to ExitValue.ai.
If you use this dataset in research, reporting, or a product, please cite it (see CITATION.cff):
ExitValue.ai. (2026). M&A Multiples Index — SMB & Lower-Middle-Market Valuation Multiples.
DOI: 10.5281/zenodo.20398222. https://github.com/nickcals/multiples