Jones Lang Lasalle (JLL) Property, Plant & Equipment (Net) (2009 - 2026)
Jones Lang Lasalle's Property, Plant & Equipment (Net) was $635.5 million in Q2 2026, up 7.7% from $590 million a year earlier and up 0.2% from the prior quarter.
Jones Lang Lasalle (JLL) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Jones Lang Lasalle came in at $630.6 million, up 5.4% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $598.1 million in FY2024 (-2.6%), $613.9 million in FY2023 (+5.3%), $582.9 million in FY2022 (-21.2%) and $740 million in FY2021 (+11.5%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q3 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 2.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 11.5%); the worst was Q1 2023 (a decline of 21.7%).
- Per Business Quant data, JLL's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $634 million (Q1 2026), $630.6 million (Q4 2025) and $597.1 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 | 635.50 Mn |
| Mar 31, 2026 | 634.00 Mn |
| Dec 31, 2025 | 630.60 Mn |
| Sep 30, 2025 | 597.10 Mn |
| Jun 30, 2025 | 590.00 Mn |
| Mar 31, 2025 | 585.90 Mn |
| Dec 31, 2024 | 598.10 Mn |
| Sep 30, 2024 | 599.30 Mn |
| Jun 30, 2024 | 596.90 Mn |
| Mar 31, 2024 | 600.10 Mn |
| Dec 31, 2023 | 613.90 Mn |
| Sep 30, 2023 | 589.40 Mn |
| Jun 30, 2023 | 585.50 Mn |
| Mar 31, 2023 | 586.20 Mn |
| Dec 31, 2022 | 582.90 Mn |
| Sep 30, 2022 | 731.50 Mn |
| Jun 30, 2022 | 731.70 Mn |
| Mar 31, 2022 | 749.10 Mn |
| Dec 31, 2021 | 740.00 Mn |
| Sep 30, 2021 | 693.40 Mn |
Jones Lang Lasalle 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=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "JLL", "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=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();