Cushman & Wakefield (CWK) Property, Plant & Equipment (Net) (2017 - 2026)
Cushman & Wakefield (CWK) reported Property, Plant & Equipment (Net) of $171.1 million for Q3 2026, up 40.8% from $121.5 million a year earlier and up 17.0% from the prior quarter.
Cushman & Wakefield (CWK) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Cushman & Wakefield posted Property, Plant & Equipment (Net) of $132.9 million, down 2.3% from FY2024.
- Property, Plant & Equipment (Net) has declined for seven consecutive years, with a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $136 million in FY2024 (-17.0%), $163.8 million in FY2023 (-5.1%), $172.6 million in FY2022 (-11.3%) and $194.6 million in FY2021 (-17.5%).
- The Q3 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last three quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q3 2026 (growth of 40.8%); the low point was Q3 2022 (a decline of 19.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $146.2 million (Q2 2026), $134.2 million (Q1 2026) and $132.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 275.15 Mn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 1.08 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 632.20 Mn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 208.00 Mn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 279.56 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 171.10 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 167.39 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 23.77 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 225.76 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 12.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 171.10 Mn |
| Jun 30, 2026 | 146.20 Mn |
| Mar 31, 2026 | 134.20 Mn |
| Dec 31, 2025 | 132.90 Mn |
| Sep 30, 2025 | 121.50 Mn |
| Jun 30, 2025 | 123.80 Mn |
| Mar 31, 2025 | 126.00 Mn |
| Dec 31, 2024 | 136.00 Mn |
| Sep 30, 2024 | 141.60 Mn |
| Jun 30, 2024 | 148.20 Mn |
| Mar 31, 2024 | 155.10 Mn |
| Dec 31, 2023 | 163.80 Mn |
| Sep 30, 2023 | 160.30 Mn |
| Jun 30, 2023 | 166.00 Mn |
| Mar 31, 2023 | 169.70 Mn |
| Dec 31, 2022 | 172.60 Mn |
| Sep 30, 2022 | 156.10 Mn |
| Jun 30, 2022 | 180.60 Mn |
| Mar 31, 2022 | 192.40 Mn |
| Dec 31, 2021 | 194.60 Mn |
Cushman & Wakefield Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();