Marcus & Millichap (MMI) EV to EBITDA (2013 - 2026)
Marcus & Millichap's EV to EBITDA was 47.73 in Q2 2026, down 42.1% from the prior quarter.
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Analysis
Marcus & Millichap (MMI) EV to EBITDA (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marcus & Millichap's EV to EBITDA was 13.65 through Jun 30, 2026; for FY2022, it was 5.72, down 22.1% from FY2021.
- In earlier years, EV to EBITDA was 7.34 in FY2021 (-55.5%), 16.52 in FY2020 (+60.5%), 10.29 in FY2019 (+24.5%) and 8.27 in FY2018 (-32.9%).
- The Q2 2026 figure marks the lowest quarterly EV to EBITDA since Q2 2023.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2023 (growth of 827.2%); the worst was Q2 2022 (a decline of 60.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 39.15 Bn | 32.46 Bn | 2.09 Bn |
| 2 | KE Holdings | 19.31 Bn | -7.87 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.15 Bn | 12.23 Bn | - |
| 4 | Compass | 7.39 Bn | 5.84 Bn | - |
| 5 | Colliers International | 4.73 Bn | 3.80 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.71 Bn | 194.65 Mn | 512.00 Mn |
| 7 | Newmark | 2.05 Bn | 1.13 Bn | - |
| 8 | Marcus & Millichap | 1.06 Bn | 159.87 Mn | - |
| 9 | Agnt | 670.46 Mn | 200.14 Mn | 98.80 Mn |
| 10 | Rmr | 292.84 Mn | 42.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.73 |
| Mar 31, 2026 | 82.39 |
| Jun 30, 2023 | 38.91 |
| Mar 31, 2023 | 9.89 |
| Dec 31, 2022 | 5.72 |
| Sep 30, 2022 | 3.63 |
| Jun 30, 2022 | 4.10 |
| Mar 31, 2022 | 6.57 |
| Dec 31, 2021 | 6.75 |
| Sep 30, 2021 | 7.01 |
| Jun 30, 2021 | 8.69 |
| Mar 31, 2021 | 10.96 |
| Dec 31, 2020 | 12.20 |
| Sep 30, 2020 | 8.88 |
| Jun 30, 2020 | 8.12 |
| Mar 31, 2020 | 5.71 |
| Dec 31, 2019 | 8.56 |
| Sep 30, 2019 | 8.33 |
| Jun 30, 2019 | 7.18 |
| Mar 31, 2019 | 13.37 |
API Access
Marcus & Millichap EV to EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=MMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();