Jones Lang Lasalle (JLL) Sales of Property, Plant and Equipment (2013 - 2026)
Jones Lang Lasalle (JLL) recorded Sales of Property, Plant and Equipment of $5.5 million in Q2 2026, down 75.8% from $22.7 million a year earlier and down 74.8% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Sales of Property, Plant and Equipment (2013 - 2026) Analysis & Trends
On a TTM basis, Jones Lang Lasalle's Sales of Property, Plant and Equipment came in at $51.5 million as of Jun 30, 2026, up 38.4% year-over-year; for FY2025, it was $51.8 million, up 169.8% from FY2024.
- Annual Sales of Property, Plant and Equipment has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Sales of Property, Plant and Equipment came in at $19.2 million in FY2024 (-19.0%), $23.7 million in FY2023 (-2.9%), $24.4 million in FY2022 (-67.0%) and $74 million in FY2021 (+78.3%).
- The Q2 2026 figure is the lowest quarterly Sales of Property, Plant and Equipment since Q1 2025.
- On a year-over-year basis, Sales of Property, Plant and Equipment rose in five of the last eight quarters, with growth averaging 140.0%.
- Peak year-over-year performance for Sales of Property, Plant and Equipment in the last five years was growth of 482.1% in Q2 2025, against a decline of 84.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.8 million (Q1 2026), $9.7 million (Q4 2025) and $14.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 31.00 Mn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 5.50 Mn |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | - |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | - |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.50 Mn |
| Mar 31, 2026 | 21.80 Mn |
| Dec 31, 2025 | 9.70 Mn |
| Sep 30, 2025 | 14.50 Mn |
| Jun 30, 2025 | 22.70 Mn |
| Mar 31, 2025 | 4.90 Mn |
| Dec 31, 2024 | 4.90 Mn |
| Sep 30, 2024 | 4.70 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 5.70 Mn |
| Dec 31, 2023 | 2.20 Mn |
| Sep 30, 2023 | 8.80 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 9.20 Mn |
| Dec 31, 2022 | 5.30 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 7.50 Mn |
| Mar 31, 2022 | 5.60 Mn |
| Dec 31, 2021 | 34.90 Mn |
| Sep 30, 2021 | 25.60 Mn |
API Access
Jones Lang Lasalle Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();