Cushman & Wakefield (CWK) EBITDA (2017 - 2026)
Cushman & Wakefield's EBITDA was $162.7 million in Q2 2026, up 9.2% from $149 million a year earlier and up 93.7% from the prior quarter.
Powered by 
Analysis
Cushman & Wakefield (CWK) EBITDA (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cushman & Wakefield's EBITDA was $582.4 million through Jun 30, 2026, up 10.1% year-over-year; for FY2025, it was $556.7 million, up 20.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $461.1 million in FY2024 (+31.3%), $351.2 million in FY2023 (-48.5%), $682 million in FY2022 (+1.9%) and $669.1 million in FY2021 (+217.9%).
- Quarterly EBITDA has moved between $18.6 million (Q1 2023) and $293.2 million (Q4 2021) over five years.
- Compared with a year earlier, EBITDA was higher in seven of the last eight quarters, with growth averaging 23.8%.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 390.0%); the worst was Q1 2023 (a decline of 89.4%).
- Per Business Quant data, CWK's EBITDA in the three quarters before Q2 2026 was $84 million (Q1 2026), $202.4 million (Q4 2025) and $133.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 605.00 Mn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 402.90 Mn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 277.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 72.52 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 162.70 Mn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 124.65 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 4.56 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | -4.86 Mn |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 3.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.70 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 202.40 Mn |
| Sep 30, 2025 | 133.30 Mn |
| Jun 30, 2025 | 149.00 Mn |
| Mar 31, 2025 | 72.00 Mn |
| Dec 31, 2024 | 204.10 Mn |
| Sep 30, 2024 | 104.10 Mn |
| Jun 30, 2024 | 101.60 Mn |
| Mar 31, 2024 | 51.30 Mn |
| Dec 31, 2023 | 146.80 Mn |
| Sep 30, 2023 | 93.80 Mn |
| Jun 30, 2023 | 92.00 Mn |
| Mar 31, 2023 | 18.60 Mn |
| Dec 31, 2022 | 143.80 Mn |
| Sep 30, 2022 | 146.00 Mn |
| Jun 30, 2022 | 216.30 Mn |
| Mar 31, 2022 | 175.90 Mn |
| Dec 31, 2021 | 293.20 Mn |
| Sep 30, 2021 | 173.00 Mn |
API Access
Cushman & Wakefield EBITDA 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=ebitda&ticker=CWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();