Marcus & Millichap (MMI) EV to EBIT (2013 - 2026)
Marcus & Millichap's (MMI) EV to EBIT stood at 102.26 in Q2 2026.
Analysis
Marcus & Millichap (MMI) EV to EBIT (2013 - 2026) Analysis & Trends
On a TTM basis, Marcus & Millichap's EV to EBIT came in at 29.25 as of Jun 30, 2026; for FY2022, it came in at 6.28, down 19.4% from FY2021.
- Across earlier years, EV to EBIT came in at 7.80 in FY2021 (-60.8%), 19.87 in FY2020 (+78.3%), 11.15 in FY2019 (+27.7%) and 8.73 in FY2018 (-32.9%).
- The Q2 2026 figure is the highest quarterly EV to EBIT in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.26 |
| Jun 30, 2023 | 90.54 |
| Mar 31, 2023 | 11.52 |
| Dec 31, 2022 | 6.28 |
| Sep 30, 2022 | 3.85 |
| Jun 30, 2022 | 4.44 |
| Mar 31, 2022 | 7.32 |
| Dec 31, 2021 | 7.80 |
| Sep 30, 2021 | 8.82 |
| Jun 30, 2021 | 11.80 |
| Mar 31, 2021 | 18.00 |
| Dec 31, 2020 | 19.87 |
| Sep 30, 2020 | 14.63 |
| Jun 30, 2020 | 11.88 |
| Mar 31, 2020 | 7.47 |
| Dec 31, 2019 | 11.15 |
| Sep 30, 2019 | 10.20 |
| Jun 30, 2019 | 8.37 |
| Mar 31, 2019 | 14.85 |
| Dec 31, 2018 | 8.73 |
API Access
Marcus & Millichap EV to EBIT 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-ebit&ticker=MMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();