Jones Lang Lasalle (JLL) Operating Leases (2019 - 2026)
Jones Lang Lasalle's Operating Leases was $720.9 million in Q2 2026, down 3.9% from $750.3 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Jones Lang Lasalle came in at $774.4 million, up 3.4% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Operating Leases was $748.8 million in FY2024 (-0.8%), $754.5 million in FY2023 (-2.7%), $775.8 million in FY2022 (+8.6%) and $714.4 million in FY2021 (+4.5%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases since Q4 2021.
- Compared with a year earlier, Operating Leases was higher in three of the last eight quarters, with an average decline of 0.5%.
- The best year-over-year quarter for Operating Leases over five years was Q1 2022 (growth of 10.5%); the worst was Q2 2026 (a decline of 3.9%).
- Per Business Quant data, JLL's Operating Leases in the three quarters before Q2 2026 was $738.4 million (Q1 2026), $774.4 million (Q4 2025) and $794.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 720.90 Mn |
| Mar 31, 2026 | 738.40 Mn |
| Dec 31, 2025 | 774.40 Mn |
| Sep 30, 2025 | 794.60 Mn |
| Jun 30, 2025 | 750.30 Mn |
| Mar 31, 2025 | 754.20 Mn |
| Dec 31, 2024 | 748.80 Mn |
| Sep 30, 2024 | 783.10 Mn |
| Jun 30, 2024 | 779.80 Mn |
| Mar 31, 2024 | 758.90 Mn |
| Dec 31, 2023 | 754.50 Mn |
| Sep 30, 2023 | 764.50 Mn |
| Jun 30, 2023 | 766.60 Mn |
| Mar 31, 2023 | 766.20 Mn |
| Dec 31, 2022 | 775.80 Mn |
| Sep 30, 2022 | 739.50 Mn |
| Jun 30, 2022 | 748.60 Mn |
| Mar 31, 2022 | 765.20 Mn |
| Dec 31, 2021 | 714.40 Mn |
| Sep 30, 2021 | 685.60 Mn |
API Access
Jones Lang Lasalle Operating Leases 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=operating-leases&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();