Cushman & Wakefield (CWK) EBIT (2017 - 2026)
Cushman & Wakefield (CWK) reported EBIT of $129.9 million for Q3 2026, up 20.8% from $107.5 million a year earlier but down 3.2% from the prior quarter.
Cushman & Wakefield (CWK) EBIT (2017 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cushman & Wakefield's EBIT came in at $499.7 million, up 11.0% year-over-year; for FY2025, it came in at $452.5 million, up 33.5% from FY2024.
- By year, EBIT came in at $338.9 million in FY2024 (+64.8%), $205.6 million in FY2023 (-61.6%), $535.1 million in FY2022 (+7.7%) and $497 million in FY2021.
- Five-year quarterly EBIT spans a low of -$18.3 million in Q1 2023 and a high of $249.4 million in Q4 2021.
- Year over year, EBIT has now increased in each of the last ten quarters, with growth averaging 47.3% over the last eight quarters.
- The high point for year-over-year EBIT in five years was Q4 2021 (growth of 161.2%); the low point was Q2 2023 (a decline of 68.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $134.2 million (Q2 2026), $58.7 million (Q1 2026) and $176.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 446.01 Mn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 561.00 Mn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 391.00 Mn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 87.00 Mn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 100.76 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 129.90 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 85.18 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | -906,000.00 |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | -9.27 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 3.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 129.90 Mn |
| Jun 30, 2026 | 134.20 Mn |
| Mar 31, 2026 | 58.70 Mn |
| Dec 31, 2025 | 176.90 Mn |
| Sep 30, 2025 | 107.50 Mn |
| Jun 30, 2025 | 122.80 Mn |
| Mar 31, 2025 | 45.30 Mn |
| Dec 31, 2024 | 174.50 Mn |
| Sep 30, 2024 | 75.20 Mn |
| Jun 30, 2024 | 70.40 Mn |
| Mar 31, 2024 | 18.80 Mn |
| Dec 31, 2023 | 110.00 Mn |
| Sep 30, 2023 | 57.60 Mn |
| Jun 30, 2023 | 56.30 Mn |
| Mar 31, 2023 | -18.30 Mn |
| Dec 31, 2022 | 111.10 Mn |
| Sep 30, 2022 | 112.10 Mn |
| Jun 30, 2022 | 176.60 Mn |
| Mar 31, 2022 | 135.30 Mn |
| Dec 31, 2021 | 249.40 Mn |
Cushman & Wakefield EBIT 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=ebit&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();