Cushman & Wakefield (CWK) Non Operating Interest Expenses (2017 - 2026)
Cushman & Wakefield (CWK) posted Non Operating Interest Expenses of $59.6 million for Q2 2026, up 12.0% from $53.2 million a year earlier and up 21.1% from the prior quarter.
Cushman & Wakefield (CWK) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Cushman & Wakefield was $219.5 million, up 1.7% year-over-year; for FY2025, it came in at $216.2 million, down 6.0% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Cushman & Wakefield's Non Operating Interest Expenses was $229.9 million in FY2024 (-18.2%), $281.1 million in FY2023 (+45.6%), $193.1 million in FY2022 (+7.6%) and $179.5 million in FY2021 (+9.6%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses since Q2 2024.
- On a year-over-year basis, Non Operating Interest Expenses increased in two of the last eight quarters, with an average decline of 7.2%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2023, with growth of 77.8%; the weakest was Q3 2024, with a decline of 38.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $49.2 million (Q1 2026), $54.7 million (Q4 2025) and $56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 3.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.60 Mn |
| Mar 31, 2026 | 49.20 Mn |
| Dec 31, 2025 | 54.70 Mn |
| Sep 30, 2025 | 56.00 Mn |
| Jun 30, 2025 | 53.20 Mn |
| Mar 31, 2025 | 52.30 Mn |
| Dec 31, 2024 | 55.50 Mn |
| Sep 30, 2024 | 54.90 Mn |
| Jun 30, 2024 | 60.80 Mn |
| Mar 31, 2024 | 58.70 Mn |
| Dec 31, 2023 | 56.90 Mn |
| Sep 30, 2023 | 89.50 Mn |
| Jun 30, 2023 | 57.90 Mn |
| Mar 31, 2023 | 76.80 Mn |
| Dec 31, 2022 | 53.40 Mn |
| Sep 30, 2022 | 50.40 Mn |
| Jun 30, 2022 | 46.10 Mn |
| Mar 31, 2022 | 43.20 Mn |
| Dec 31, 2021 | 47.50 Mn |
| Sep 30, 2021 | 45.80 Mn |
Cushman & Wakefield Non Operating Interest 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=non-operating-interest-expenses&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();