Cushman & Wakefield (CWK) EBITDA (2017 - 2026)
Cushman & Wakefield's EBITDA was $158.6 million in Q3 2026, up 17.2% from $135.3 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Cushman & Wakefield (CWK) EBITDA (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cushman & Wakefield's EBITDA was $613.1 million through Sep 30, 2026, up 8.2% year-over-year; for FY2025, it was $564.7 million, up 20.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $468.6 million in FY2024 (+30.6%), $358.7 million in FY2023 (-48.1%), $691.6 million in FY2022 (+1.9%) and $678.5 million in FY2021 (+207.7%).
- Quarterly EBITDA has moved between $20.6 million (Q1 2023) and $295.6 million (Q4 2021) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 24.2% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 366.8%); the worst was Q1 2023 (a decline of 88.4%).
- Per Business Quant data, CWK's EBITDA in the three quarters before Q3 2026 was $164.1 million (Q2 2026), $86 million (Q1 2026) and $204.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.04 Bn | 33.34 Bn | 2.13 Bn | 793.00 Mn |
| 2 | KE Holdings | 20.34 Bn | -6.84 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 17.40 Bn | 15.39 Bn | - | 481.90 Mn |
| 4 | Compass | 8.16 Bn | 6.61 Bn | - | 277.00 Mn |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | 179.73 Mn |
| 6 | Cushman & Wakefield | 3.44 Bn | 1.06 Bn | 486.30 Mn | 158.60 Mn |
| 7 | Newmark | 2.16 Bn | 1.23 Bn | - | 124.65 Mn |
| 8 | Marcus & Millichap | 1.00 Bn | 98.21 Mn | - | 4.56 Mn |
| 9 | Agnt | 533.70 Mn | 64.74 Mn | 90.97 Mn | 5.66 Mn |
| 10 | Rmr | 264.79 Mn | 14.88 Mn | - | -2.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 158.60 Mn |
| Jun 30, 2026 | 164.10 Mn |
| Mar 31, 2026 | 86.00 Mn |
| Dec 31, 2025 | 204.40 Mn |
| Sep 30, 2025 | 135.30 Mn |
| Jun 30, 2025 | 151.00 Mn |
| Mar 31, 2025 | 74.00 Mn |
| Dec 31, 2024 | 206.10 Mn |
| Sep 30, 2024 | 105.90 Mn |
| Jun 30, 2024 | 103.80 Mn |
| Mar 31, 2024 | 52.80 Mn |
| Dec 31, 2023 | 148.50 Mn |
| Sep 30, 2023 | 95.70 Mn |
| Jun 30, 2023 | 93.90 Mn |
| Mar 31, 2023 | 20.60 Mn |
| Dec 31, 2022 | 148.20 Mn |
| Sep 30, 2022 | 147.70 Mn |
| Jun 30, 2022 | 217.40 Mn |
| Mar 31, 2022 | 178.30 Mn |
| Dec 31, 2021 | 295.60 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();