Cbre (CBRE) Shares Outstanding (Diluted) (2009 - 2026)
Cbre (CBRE) reported Weighted Average Shares Outstanding (Diluted) of 291.61 million for Q3 2026, down 2.9% from 300.26 million a year earlier and down 0.8% from the prior quarter.
Cbre (CBRE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Cbre posted Weighted Average Shares Outstanding (Diluted) of 300.75 million, down 2.4% from FY2024.
- Weighted Average 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, Weighted Average 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 Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2009.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last 19 quarters, with an average decline of 2.2% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 0.4%); the low point was Q1 2023 (a decline of 6.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 293.86 million (Q2 2026), 296.99 million (Q1 2026) and 300.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 1.16 Bn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 291.61 Mn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 46.69 Mn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 862.55 Mn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 51.08 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 237.20 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 252.71 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 38.30 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 16.79 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 167.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 291.61 Mn |
| 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 |
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();