Cbre (CBRE) Shares Outstanding (Diluted) (2009 - 2026)
Cbre (CBRE) reported Shares Outstanding (Diluted) of 293.86 million for Q2 2026, down 2.0% from 300.01 million a year earlier and down 1.1% from the prior quarter.
Cbre (CBRE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Cbre posted Shares Outstanding (Diluted) of 300.75 million, down 2.4% from FY2024.
- Shares Outstanding (Diluted) has declined for four consecutive years, with a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 308.03 million in FY2024 (-1.4%), 312.55 million in FY2023 (-4.6%), 327.7 million in FY2022 (-3.5%) and 339.72 million in FY2021 (+0.4%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q4 2009.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 18 quarters, with an average decline of 2.0% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2021 (growth of 0.8%); the low point was Q1 2023 (a decline of 6.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 296.99 million (Q1 2026), 300.75 million (Q4 2025) and 300.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.36 Bn | 32.67 Bn | 2.09 Bn | 293.86 Mn |
| 2 | KE Holdings | 19.22 Bn | -7.96 Bn | 1.03 Bn | 1.16 Bn |
| 3 | Jones Lang Lasalle | 14.13 Bn | 12.21 Bn | - | 46.93 Mn |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 842.38 Mn |
| 5 | Colliers International | 4.71 Bn | 3.79 Bn | 635.11 Mn | 51.08 Mn |
| 6 | Cushman & Wakefield | 2.71 Bn | 188.79 Mn | 512.00 Mn | 236.30 Mn |
| 7 | Newmark | 2.05 Bn | 1.13 Bn | - | 251.86 Mn |
| 8 | Marcus & Millichap | 1.07 Bn | 162.71 Mn | - | 38.02 Mn |
| 9 | Agnt | 658.83 Mn | 188.51 Mn | 98.80 Mn | 166.16 Mn |
| 10 | Rmr | 290.57 Mn | 40.65 Mn | - | 16.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.86 Mn |
| Mar 31, 2026 | 296.99 Mn |
| Dec 31, 2025 | 300.75 Mn |
| Sep 30, 2025 | 300.26 Mn |
| Jun 30, 2025 | 300.01 Mn |
| Mar 31, 2025 | 302.91 Mn |
| Dec 31, 2024 | 308.03 Mn |
| Sep 30, 2024 | 308.31 Mn |
| Jun 30, 2024 | 308.04 Mn |
| Mar 31, 2024 | 308.50 Mn |
| Dec 31, 2023 | 312.55 Mn |
| Sep 30, 2023 | 312.22 Mn |
| Jun 30, 2023 | 314.28 Mn |
| Mar 31, 2023 | 315.36 Mn |
| Dec 31, 2022 | 327.70 Mn |
| Sep 30, 2022 | 324.74 Mn |
| Jun 30, 2022 | 329.84 Mn |
| Mar 31, 2022 | 337.14 Mn |
| Dec 31, 2021 | 339.72 Mn |
| Sep 30, 2021 | 340.34 Mn |
Cbre 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=CBRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CBRE", "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=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();