Cushman & Wakefield (CWK) Property, Plant & Equipment (Net) (2017 - 2026)
Cushman & Wakefield (CWK) reported Property, Plant & Equipment (Net) of $146.2 million for Q2 2026, up 18.1% from $123.8 million a year earlier and up 8.9% 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 Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- Year over year, Property, Plant & Equipment (Net) gained in two of the last eight quarters, with an average decline of 7.0%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2026 (growth of 18.1%); the low point was Q3 2021 (a decline of 20.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $134.2 million (Q1 2026), $132.9 million (Q4 2025) and $121.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 1.04 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 274.18 Mn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 635.50 Mn |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 222.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 267.41 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 146.20 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 160.95 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 23.11 Mn |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 11.96 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | 225.76 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 194.00 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();