Cbre (CBRE) Property, Plant & Equipment (Net) (2009 - 2026)
Cbre's Property, Plant & Equipment (Net) came in at $1.08 billion for Q3 2026, up 10.1% from $976 million a year earlier and up 3.1% from the prior quarter.
Cbre (CBRE) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Cbre's Property, Plant & Equipment (Net) was $1.05 billion, up 14.8% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last five years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $914 million in FY2024 (+0.8%), $907 million in FY2023 (+8.5%), $836 million in FY2022 (+2.4%) and $816.09 million in FY2021 (+0.1%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 20 consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 0.1% in Q4 2021 to 14.8% in Q4 2025.
- Business Quant data shows CBRE's Property, Plant & Equipment (Net) at $1.04 billion (Q2 2026), $1.04 billion (Q1 2026) and $1.05 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.39 Bn | 11.20 Bn | 1.03 Bn | 274.81 Mn |
| 2 | Cbre | 35.57 Bn | 29.33 Bn | 2.13 Bn | 1.08 Bn |
| 3 | Jones Lang Lasalle | 13.81 Bn | 12.03 Bn | - | 635.50 Mn |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 222.00 Mn |
| 5 | Colliers International | 4.75 Bn | 3.82 Bn | 635.11 Mn | 267.41 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 250.13 Mn | 512.00 Mn | 146.20 Mn |
| 7 | Newmark | 1.83 Bn | 1.21 Bn | - | 160.95 Mn |
| 8 | Marcus & Millichap | 1.04 Bn | 139.90 Mn | - | 23.11 Mn |
| 9 | Agnt | 691.87 Mn | 221.55 Mn | 98.80 Mn | 11.96 Mn |
| 10 | Rmr | 560.76 Mn | 485.22 Mn | - | 225.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.08 Bn |
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 976.00 Mn |
| Jun 30, 2025 | 972.00 Mn |
| Mar 31, 2025 | 950.00 Mn |
| Dec 31, 2024 | 914.00 Mn |
| Sep 30, 2024 | 936.00 Mn |
| Jun 30, 2024 | 895.00 Mn |
| Mar 31, 2024 | 900.00 Mn |
| Dec 31, 2023 | 907.00 Mn |
| Sep 30, 2023 | 851.74 Mn |
| Jun 30, 2023 | 848.85 Mn |
| Mar 31, 2023 | 833.27 Mn |
| Dec 31, 2022 | 836.00 Mn |
| Sep 30, 2022 | 768.45 Mn |
| Jun 30, 2022 | 778.54 Mn |
| Mar 31, 2022 | 792.74 Mn |
| Dec 31, 2021 | 816.09 Mn |
Cbre 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=CBRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CBRE", "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=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();