Marcus & Millichap (MMI) Shares Outstanding (Diluted) (2013 - 2026)
Marcus & Millichap (MMI) recorded Shares Outstanding (Diluted) of 38.02 million in Q2 2026, down 2.5% from 39 million a year earlier and down 0.5% from the prior quarter.
Marcus & Millichap (MMI) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Marcus & Millichap reported Shares Outstanding (Diluted) of 38.94 million, up 0.7% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 38.68 million in FY2024 (unchanged), 38.66 million in FY2023 (-3.8%), 40.19 million in FY2022 (unchanged) and 40.19 million in FY2021 (+1.1%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2013.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in five of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 1.3% in Q3 2021, against a decline of 4.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 38.2 million (Q1 2026), 38.94 million (Q4 2025) and 39.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.81 Bn | 11.63 Bn | 1.03 Bn | 1.16 Bn |
| 2 | Cbre | 37.85 Bn | 31.61 Bn | 2.13 Bn | 291.61 Mn |
| 3 | Jones Lang Lasalle | 14.38 Bn | 12.59 Bn | - | 46.93 Mn |
| 4 | Compass | 7.52 Bn | 5.98 Bn | - | 842.38 Mn |
| 5 | Colliers International | 4.93 Bn | 4.00 Bn | 635.11 Mn | 51.08 Mn |
| 6 | Cushman & Wakefield | 2.84 Bn | 315.79 Mn | 512.00 Mn | 236.30 Mn |
| 7 | Newmark | 1.88 Bn | 1.26 Bn | - | 251.86 Mn |
| 8 | Marcus & Millichap | 1.07 Bn | 169.44 Mn | - | 38.02 Mn |
| 9 | Agnt | 696.88 Mn | 226.56 Mn | 98.80 Mn | 166.16 Mn |
| 10 | Rmr | 570.39 Mn | 494.84 Mn | - | 16.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.02 Mn |
| Mar 31, 2026 | 38.20 Mn |
| Dec 31, 2025 | 38.94 Mn |
| Sep 30, 2025 | 39.18 Mn |
| Jun 30, 2025 | 39.00 Mn |
| Mar 31, 2025 | 38.93 Mn |
| Dec 31, 2024 | 38.68 Mn |
| Sep 30, 2024 | 38.76 Mn |
| Jun 30, 2024 | 38.68 Mn |
| Mar 31, 2024 | 38.45 Mn |
| Dec 31, 2023 | 38.66 Mn |
| Sep 30, 2023 | 38.49 Mn |
| Jun 30, 2023 | 38.54 Mn |
| Mar 31, 2023 | 39.20 Mn |
| Dec 31, 2022 | 40.19 Mn |
| Sep 30, 2022 | 40.30 Mn |
| Jun 30, 2022 | 40.34 Mn |
| Mar 31, 2022 | 40.47 Mn |
| Dec 31, 2021 | 40.19 Mn |
| Sep 30, 2021 | 40.24 Mn |
Marcus & Millichap Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();