Jones Lang Lasalle (JLL) Long-Term Investments (2009 - 2026)
Jones Lang Lasalle (JLL) posted Long-Term Investments of $873.6 million for Q2 2026, down 0.6% from $878.8 million a year earlier and down 1.5% from the prior quarter.
Powered by 
Analysis
Jones Lang Lasalle (JLL) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Long-Term Investments came in at $892.9 million, up 9.9% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Long-Term Investments was $812.7 million in FY2024 (-0.5%), $816.6 million in FY2023 (-6.5%), $873.8 million in FY2022 (+17.2%) and $745.7 million in FY2021 (+73.1%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Investments since Q4 2024.
- On a year-over-year basis, Long-Term Investments increased in five of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2021, with growth of 73.1%; the weakest was Q1 2024, with a decline of 8.9%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $886.6 million (Q1 2026), $892.9 million (Q4 2025) and $895.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 38.42 Bn | 31.73 Bn | 2.09 Bn | 853.00 Mn |
| 2 | KE Holdings | 19.08 Bn | -8.10 Bn | 1.03 Bn | 2.88 Bn |
| 3 | Jones Lang Lasalle | 14.46 Bn | 12.53 Bn | - | 873.60 Mn |
| 4 | Compass | 7.52 Bn | 5.97 Bn | - | - |
| 5 | Colliers International | 4.89 Bn | 3.96 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.84 Bn | 318.88 Mn | 512.00 Mn | 530.70 Mn |
| 7 | Newmark | 2.12 Bn | 1.19 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 176.52 Mn | - | 134.45 Mn |
| 9 | Agnt | 692.06 Mn | 221.75 Mn | 98.80 Mn | - |
| 10 | Rmr | 298.21 Mn | 48.29 Mn | - | 136.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 873.60 Mn |
| Mar 31, 2026 | 886.60 Mn |
| Dec 31, 2025 | 892.90 Mn |
| Sep 30, 2025 | 895.10 Mn |
| Jun 30, 2025 | 878.80 Mn |
| Mar 31, 2025 | 902.40 Mn |
| Dec 31, 2024 | 812.70 Mn |
| Sep 30, 2024 | 866.50 Mn |
| Jun 30, 2024 | 819.70 Mn |
| Mar 31, 2024 | 816.20 Mn |
| Dec 31, 2023 | 816.60 Mn |
| Sep 30, 2023 | 865.20 Mn |
| Jun 30, 2023 | 872.70 Mn |
| Mar 31, 2023 | 896.00 Mn |
| Dec 31, 2022 | 873.80 Mn |
| Sep 30, 2022 | 890.90 Mn |
| Jun 30, 2022 | 901.90 Mn |
| Mar 31, 2022 | 785.30 Mn |
| Dec 31, 2021 | 745.70 Mn |
| Sep 30, 2021 | 646.60 Mn |
API Access
Jones Lang Lasalle Long-Term Investments 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=long-term-investments&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();