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 | 37.92 Bn | 31.69 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 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 | 4.20 |
| Mar 31, 2022 | 6.91 |
| Dec 31, 2021 | 7.34 |
| Sep 30, 2021 | 8.12 |
| Jun 30, 2021 | 10.55 |
| Mar 31, 2021 | 14.86 |
| Dec 31, 2020 | 16.52 |
| Sep 30, 2020 | 12.18 |
| Jun 30, 2020 | 10.43 |
| Mar 31, 2020 | 6.86 |
| Dec 31, 2019 | 10.29 |
| Sep 30, 2019 | 9.50 |
| Jun 30, 2019 | 7.84 |
| Mar 31, 2019 | 13.97 |
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();