Cushman & Wakefield (CWK) Shares Outstanding (Diluted) (2017 - 2026)
Cushman & Wakefield (CWK) reported Shares Outstanding (Diluted) of 236.3 million for Q2 2026, up 1.7% from 232.4 million a year earlier and up 1.5% from the prior quarter.
Cushman & Wakefield (CWK) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Cushman & Wakefield posted Shares Outstanding (Diluted) of 234.7 million, up 0.8% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 232.8 million in FY2024 (+2.6%), 226.9 million in FY2023 (-0.5%), 228 million in FY2022 (+0.7%) and 226.5 million in FY2021 (+2.6%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2017.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 3.1%); the low point was Q1 2023 (a decline of 1.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 232.8 million (Q1 2026), 234.7 million (Q4 2025) and 235.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 38.42 Bn | 31.73 Bn | 2.09 Bn | 293.86 Mn |
| 2 | KE Holdings | 19.08 Bn | -8.10 Bn | 1.03 Bn | 1.16 Bn |
| 3 | Jones Lang Lasalle | 14.46 Bn | 12.53 Bn | - | 46.93 Mn |
| 4 | Compass | 7.52 Bn | 5.97 Bn | - | 842.38 Mn |
| 5 | Colliers International | 4.89 Bn | 3.96 Bn | 635.11 Mn | 51.08 Mn |
| 6 | Cushman & Wakefield | 2.84 Bn | 318.88 Mn | 512.00 Mn | 236.30 Mn |
| 7 | Newmark | 2.12 Bn | 1.19 Bn | - | 251.86 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 176.52 Mn | - | 38.02 Mn |
| 9 | Agnt | 692.06 Mn | 221.75 Mn | 98.80 Mn | 166.16 Mn |
| 10 | Rmr | 298.21 Mn | 48.29 Mn | - | 16.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236.30 Mn |
| Mar 31, 2026 | 232.80 Mn |
| Dec 31, 2025 | 234.70 Mn |
| Sep 30, 2025 | 235.90 Mn |
| Jun 30, 2025 | 232.40 Mn |
| Mar 31, 2025 | 232.30 Mn |
| Dec 31, 2024 | 232.80 Mn |
| Sep 30, 2024 | 233.40 Mn |
| Jun 30, 2024 | 231.50 Mn |
| Mar 31, 2024 | 227.90 Mn |
| Dec 31, 2023 | 226.90 Mn |
| Sep 30, 2023 | 227.20 Mn |
| Jun 30, 2023 | 227.10 Mn |
| Mar 31, 2023 | 226.20 Mn |
| Dec 31, 2022 | 228.00 Mn |
| Sep 30, 2022 | 227.50 Mn |
| Jun 30, 2022 | 228.00 Mn |
| Mar 31, 2022 | 229.10 Mn |
| Dec 31, 2021 | 226.50 Mn |
| Sep 30, 2021 | 227.00 Mn |
Cushman & Wakefield 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=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CWK", "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=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();