Cushman & Wakefield (CWK) Cash & Equivalents (2017 - 2026)
Cushman & Wakefield (CWK) posted Cash & Equivalents of $500.5 million for Q2 2026, down 19.0% from $618.2 million a year earlier and down 16.7% from the prior quarter.
Cushman & Wakefield (CWK) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Cushman & Wakefield's Cash & Equivalents came in at $784.2 million, down 1.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, Cushman & Wakefield's Cash & Equivalents was $793.3 million in FY2024 (+3.3%), $767.7 million in FY2023 (+19.1%), $644.5 million in FY2022 (-16.4%) and $770.7 million in FY2021 (-28.3%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q1 2023.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last four quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 54.5%; the weakest was Q3 2022, with a decline of 68.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $600.6 million (Q1 2026), $784.2 million (Q4 2025) and $634.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 1.49 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 1.08 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 458.20 Mn |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 694.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 265.19 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 500.50 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 259.70 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 153.52 Mn |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 111.16 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | 58.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 500.50 Mn |
| Mar 31, 2026 | 600.60 Mn |
| Dec 31, 2025 | 784.20 Mn |
| Sep 30, 2025 | 634.40 Mn |
| Jun 30, 2025 | 618.20 Mn |
| Mar 31, 2025 | 623.20 Mn |
| Dec 31, 2024 | 793.30 Mn |
| Sep 30, 2024 | 775.40 Mn |
| Jun 30, 2024 | 567.30 Mn |
| Mar 31, 2024 | 553.50 Mn |
| Dec 31, 2023 | 767.70 Mn |
| Sep 30, 2023 | 588.20 Mn |
| Jun 30, 2023 | 502.30 Mn |
| Mar 31, 2023 | 459.60 Mn |
| Dec 31, 2022 | 644.50 Mn |
| Sep 30, 2022 | 380.80 Mn |
| Jun 30, 2022 | 476.70 Mn |
| Mar 31, 2022 | 611.90 Mn |
| Dec 31, 2021 | 770.70 Mn |
| Sep 30, 2021 | 1.19 Bn |
Cushman & Wakefield Cash & Equivalents 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=cash-and-equivalents&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();