Cushman & Wakefield (CWK) Long-Term Investments (2017 - 2026)
Cushman & Wakefield's Long-Term Investments came in at $530.7 million for Q2 2026, down 27.5% from $731.9 million a year earlier but up 0.3% from the prior quarter.
Cushman & Wakefield (CWK) Long-Term Investments (2017 - 2026) Analysis & Trends
At the end of FY2025, Cushman & Wakefield's Long-Term Investments was $536.9 million, down 25.8% from FY2024.
- Long-Term Investments carries a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $723.6 million in FY2024 (+2.2%), $708 million in FY2023 (+4.5%), $677.3 million in FY2022 (+5.6%) and $641.3 million in FY2021 (+458.1%).
- The five-year range for quarterly Long-Term Investments is $125.1 million (Q3 2021) to $735.4 million (Q1 2025).
- Year-over-year, Long-Term Investments has declined for four consecutive quarters, with an average decline of 8.6% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q1 2022 (growth of 465.1%), and the weakest in Q1 2026 (a decline of 28.0%).
- Business Quant data shows CWK's Long-Term Investments at $529.2 million (Q1 2026), $536.9 million (Q4 2025) and $720.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.81 Bn | 11.63 Bn | 1.03 Bn | 2.88 Bn |
| 2 | Cbre | 37.85 Bn | 31.61 Bn | 2.13 Bn | 913.00 Mn |
| 3 | Jones Lang Lasalle | 14.38 Bn | 12.59 Bn | - | 873.60 Mn |
| 4 | Compass | 7.52 Bn | 5.98 Bn | - | - |
| 5 | Colliers International | 4.93 Bn | 4.00 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.84 Bn | 315.79 Mn | 512.00 Mn | 530.70 Mn |
| 7 | Newmark | 1.88 Bn | 1.26 Bn | - | - |
| 8 | Marcus & Millichap | 1.07 Bn | 169.44 Mn | - | 134.45 Mn |
| 9 | Agnt | 696.88 Mn | 226.56 Mn | 98.80 Mn | - |
| 10 | Rmr | 570.39 Mn | 494.84 Mn | - | 136.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 530.70 Mn |
| Mar 31, 2026 | 529.20 Mn |
| Dec 31, 2025 | 536.90 Mn |
| Sep 30, 2025 | 720.20 Mn |
| Jun 30, 2025 | 731.90 Mn |
| Mar 31, 2025 | 735.40 Mn |
| Dec 31, 2024 | 723.60 Mn |
| Sep 30, 2024 | 723.50 Mn |
| Jun 30, 2024 | 710.50 Mn |
| Mar 31, 2024 | 713.60 Mn |
| Dec 31, 2023 | 708.00 Mn |
| Sep 30, 2023 | 693.50 Mn |
| Jun 30, 2023 | 681.90 Mn |
| Mar 31, 2023 | 685.70 Mn |
| Dec 31, 2022 | 677.30 Mn |
| Sep 30, 2022 | 659.40 Mn |
| Jun 30, 2022 | 657.20 Mn |
| Mar 31, 2022 | 654.40 Mn |
| Dec 31, 2021 | 641.30 Mn |
| Sep 30, 2021 | 125.10 Mn |
Cushman & Wakefield Long-Term Investments 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=long-term-investments&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();