Cushman & Wakefield (CWK) Revenue (2017 - 2026)
Cushman & Wakefield (CWK) posted Revenue of $2.76 billion for Q2 2026, up 11.2% from $2.48 billion a year earlier and up 8.9% from the prior quarter.
Cushman & Wakefield (CWK) Revenue (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Cushman & Wakefield was $10.82 billion, up 11.0% year-over-year; for FY2025, it came in at $10.29 billion, up 8.9% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In prior years, Cushman & Wakefield's Revenue was $9.45 billion in FY2024 (-0.5%), $9.49 billion in FY2023 (-6.1%), $10.11 billion in FY2022 (+7.6%) and $9.39 billion in FY2021 (+19.7%).
- Quarterly Revenue has run from a low of $2.18 billion in Q1 2024 to a high of $2.91 billion in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last eight quarters, with growth averaging 7.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2021, with growth of 26.9%; the weakest was Q3 2023, with a decline of 9.1%.
- According to Business Quant data, Revenue for the three prior quarters was $2.54 billion (Q1 2026), $2.91 billion (Q4 2025) and $2.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 11.23 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | 3.62 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 6.93 Bn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 4.31 Bn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 1.57 Bn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 2.76 Bn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 888.42 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 202.92 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 1.45 Bn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - | 153.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Bn |
| Mar 31, 2026 | 2.54 Bn |
| Dec 31, 2025 | 2.91 Bn |
| Sep 30, 2025 | 2.61 Bn |
| Jun 30, 2025 | 2.48 Bn |
| Mar 31, 2025 | 2.28 Bn |
| Dec 31, 2024 | 2.63 Bn |
| Sep 30, 2024 | 2.34 Bn |
| Jun 30, 2024 | 2.29 Bn |
| Mar 31, 2024 | 2.18 Bn |
| Dec 31, 2023 | 2.55 Bn |
| Sep 30, 2023 | 2.29 Bn |
| Jun 30, 2023 | 2.41 Bn |
| Mar 31, 2023 | 2.25 Bn |
| Dec 31, 2022 | 2.65 Bn |
| Sep 30, 2022 | 2.52 Bn |
| Jun 30, 2022 | 2.61 Bn |
| Mar 31, 2022 | 2.33 Bn |
| Dec 31, 2021 | 2.88 Bn |
| Sep 30, 2021 | 2.33 Bn |
Cushman & Wakefield Revenue 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=revenue&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();