Cushman & Wakefield (CWK) Change in Accrued Expenses (2017 - 2026)
Cushman & Wakefield (CWK) posted Change in Accrued Expenses of $129.7 million for Q3 2026, down 43.9% from $231.4 million a year earlier.
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Analysis
Cushman & Wakefield (CWK) Change in Accrued Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Cushman & Wakefield was $10.9 million, down 94.1% year-over-year; for FY2025, it was $108.7 million, up 46.3% from FY2024.
- In prior years, Cushman & Wakefield's Change in Accrued Expenses was $74.3 million in FY2024, -$67.7 million in FY2023, $125.1 million in FY2022 (-44.9%) and $227.1 million in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$158.9 million in Q1 2023 to a high of $231.4 million in Q3 2025 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 10.0%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q3 2025, with growth of 108.1%; the weakest was Q4 2025, with a decline of 58.5%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was -$25.9 million (Q2 2026), -$147.1 million (Q1 2026) and $54.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.15 Bn | 32.45 Bn | 2.13 Bn | 394.00 Mn |
| 2 | KE Holdings | 20.91 Bn | -6.27 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 17.03 Bn | 15.02 Bn | - | 298.60 Mn |
| 4 | Compass | 7.76 Bn | 6.21 Bn | - | -63.00 Mn |
| 5 | Colliers International | 4.82 Bn | 3.86 Bn | 637.29 Mn | 75.65 Mn |
| 6 | Cushman & Wakefield | 3.29 Bn | 915.02 Mn | 486.30 Mn | 129.70 Mn |
| 7 | Newmark | 2.13 Bn | 1.20 Bn | - | 2.95 Mn |
| 8 | Marcus & Millichap | 1.05 Bn | 143.99 Mn | - | 5.31 Mn |
| 9 | Agnt | 521.12 Mn | 52.15 Mn | 90.97 Mn | -29.45 Mn |
| 10 | Rmr | 261.94 Mn | 12.02 Mn | - | 11.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 129.70 Mn |
| Jun 30, 2026 | -25.90 Mn |
| Mar 31, 2026 | -147.10 Mn |
| Dec 31, 2025 | 54.20 Mn |
| Sep 30, 2025 | 231.40 Mn |
| Jun 30, 2025 | -28.00 Mn |
| Mar 31, 2025 | -148.90 Mn |
| Dec 31, 2024 | 130.50 Mn |
| Sep 30, 2024 | 111.20 Mn |
| Jun 30, 2024 | -30.40 Mn |
| Mar 31, 2024 | -137.00 Mn |
| Dec 31, 2023 | 97.20 Mn |
| Sep 30, 2023 | 62.80 Mn |
| Jun 30, 2023 | -68.80 Mn |
| Mar 31, 2023 | -158.90 Mn |
| Dec 31, 2022 | 217.50 Mn |
| Sep 30, 2022 | -7.40 Mn |
| Jun 30, 2022 | 45.50 Mn |
| Mar 31, 2022 | -130.50 Mn |
| Dec 31, 2021 | 131.10 Mn |
API Access
Cushman & Wakefield Change in Accrued Expenses 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=change-in-accured-expenses&ticker=CWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();