Cushman & Wakefield (CWK) Total Liabilities (2017 - 2026)
Cushman & Wakefield's Total Liabilities came in at $5.64 billion for Q3 2026, down 1.6% from $5.73 billion a year earlier but up 2.0% from the prior quarter.
Cushman & Wakefield (CWK) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Cushman & Wakefield's Total Liabilities was $5.72 billion, down 1.3% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $5.79 billion in FY2024 (-5.0%), $6.1 billion in FY2023 (-3.0%), $6.29 billion in FY2022 (-2.4%) and $6.44 billion in FY2021 (+3.2%).
- The five-year range for quarterly Total Liabilities is $5.53 billion (Q2 2026) to $6.44 billion (Q4 2021).
- Year-over-year, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 1.9%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 3.2%), and the weakest in Q2 2024 (a decline of 5.2%).
- Business Quant data shows CWK's Total Liabilities at $5.53 billion (Q2 2026), $5.7 billion (Q1 2026) and $5.72 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 22.31 Bn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | 7.17 Bn |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 10.43 Bn |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | 5.25 Bn |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | 5.64 Bn |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 186.88 Mn |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | 204.38 Mn |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | 315.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.64 Bn |
| Jun 30, 2026 | 5.53 Bn |
| Mar 31, 2026 | 5.70 Bn |
| Dec 31, 2025 | 5.72 Bn |
| Sep 30, 2025 | 5.73 Bn |
| Jun 30, 2025 | 5.65 Bn |
| Mar 31, 2025 | 5.63 Bn |
| Dec 31, 2024 | 5.79 Bn |
| Sep 30, 2024 | 5.83 Bn |
| Jun 30, 2024 | 5.70 Bn |
| Mar 31, 2024 | 5.87 Bn |
| Dec 31, 2023 | 6.10 Bn |
| Sep 30, 2023 | 6.01 Bn |
| Jun 30, 2023 | 6.02 Bn |
| Mar 31, 2023 | 6.04 Bn |
| Dec 31, 2022 | 6.29 Bn |
| Sep 30, 2022 | 6.04 Bn |
| Jun 30, 2022 | 6.15 Bn |
| Mar 31, 2022 | 6.22 Bn |
| Dec 31, 2021 | 6.44 Bn |
Cushman & Wakefield Total Liabilities 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=total-liabilities&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();