Marcus & Millichap (MMI) Price to Earnings (2013 - 2026)
Marcus & Millichap's (MMI) Price to Earnings stood at 82.22 in Q2 2026.
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Analysis
Marcus & Millichap (MMI) Price to Earnings (2013 - 2026) Analysis & Trends
For FY2022, Marcus & Millichap's Price to Earnings came in at 12.98, down 9.5% from FY2021.
- Across earlier years, Price to Earnings came in at 14.34 in FY2021 (-58.1%), 34.24 in FY2020 (+80.6%), 18.96 in FY2019 (+24.1%) and 15.27 in FY2018 (-37.1%).
- The Q2 2026 figure is the highest quarterly Price to Earnings since Q2 2023.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 852.2% in Q2 2023, against a decline of 58.1% in Q4 2021 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.22 |
| Jun 30, 2023 | 82.37 |
| Mar 31, 2023 | 19.03 |
| Dec 31, 2022 | 12.98 |
| Sep 30, 2022 | 8.24 |
| Jun 30, 2022 | 8.65 |
| Mar 31, 2022 | 13.08 |
| Dec 31, 2021 | 14.34 |
| Sep 30, 2021 | 15.48 |
| Jun 30, 2021 | 20.19 |
| Mar 31, 2021 | 29.73 |
| Dec 31, 2020 | 34.24 |
| Sep 30, 2020 | 27.13 |
| Jun 30, 2020 | 21.34 |
| Mar 31, 2020 | 14.31 |
| Dec 31, 2019 | 18.96 |
| Sep 30, 2019 | 16.85 |
| Jun 30, 2019 | 14.36 |
| Mar 31, 2019 | 18.73 |
| Dec 31, 2018 | 15.27 |
API Access
Marcus & Millichap Price to Earnings 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=price-to-earnings&ticker=MMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();