Cushman & Wakefield (CWK) Total Non-Current Liabilities (2017 - 2026)
Cushman & Wakefield (CWK) posted Total Non-Current Liabilities of $5.27 billion for Q2 2026, down 2.6% from $5.41 billion a year earlier and down 3.4% from the prior quarter.
Cushman & Wakefield (CWK) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Cushman & Wakefield's Total Non-Current Liabilities came in at $5.48 billion, down 1.4% from FY2024.
- Annual Total Non-Current Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior years, Cushman & Wakefield's Total Non-Current Liabilities was $5.55 billion in FY2024 (-4.7%), $5.83 billion in FY2023 (-2.8%), $5.99 billion in FY2022 (-1.7%) and $6.1 billion in FY2021 (+5.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2020.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 2.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 5.0%; the weakest was Q2 2024, with a decline of 4.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $5.45 billion (Q1 2026), $5.48 billion (Q4 2025) and $5.51 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 20.11 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.08 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 156.40 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 303.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.27 Bn |
| Mar 31, 2026 | 5.45 Bn |
| Dec 31, 2025 | 5.48 Bn |
| Sep 30, 2025 | 5.51 Bn |
| Jun 30, 2025 | 5.41 Bn |
| Mar 31, 2025 | 5.39 Bn |
| Dec 31, 2024 | 5.55 Bn |
| Sep 30, 2024 | 5.56 Bn |
| Jun 30, 2024 | 5.45 Bn |
| Mar 31, 2024 | 5.60 Bn |
| Dec 31, 2023 | 5.83 Bn |
| Sep 30, 2023 | 5.74 Bn |
| Jun 30, 2023 | 5.73 Bn |
| Mar 31, 2023 | 5.74 Bn |
| Dec 31, 2022 | 5.99 Bn |
| Sep 30, 2022 | 5.78 Bn |
| Jun 30, 2022 | 5.89 Bn |
| Mar 31, 2022 | 5.95 Bn |
| Dec 31, 2021 | 6.10 Bn |
| Sep 30, 2021 | 5.86 Bn |
Cushman & Wakefield Total Non-Current 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-non-current-liabilities&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();