Jones Lang Lasalle (JLL) Other Non-Current Assets (2009 - 2026)
Jones Lang Lasalle's Other Assets came in at $1.09 billion for Q3 2026, up 12.3% from $967.8 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Other Assets was $982.5 million, up 11.3% from FY2024.
- Other Assets has increased in each of the last three years, with a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Going back by year, Other Assets was $883.1 million in FY2024 (+8.6%), $812.8 million in FY2023 (+17.2%), $693.8 million in FY2022 (-9.0%) and $762.4 million in FY2021 (+21.3%).
- The Q3 2026 figure represents the highest quarterly Other Assets in data going back to Q4 2009.
- Year-over-year, Other Assets has increased for 13 consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The fastest year-over-year change in Other Assets over five years came in Q4 2021 (growth of 21.3%), and the weakest in Q1 2023 (a decline of 10.1%).
- Business Quant data shows JLL's Other Assets at $1.06 billion (Q2 2026), $1.02 billion (Q1 2026) and $982.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 290.87 Mn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 1.73 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 1.09 Bn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 477.00 Mn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 232.67 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 1.11 Bn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 228.05 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 34.69 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 61.86 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 17.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.09 Bn |
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 982.50 Mn |
| Sep 30, 2025 | 967.80 Mn |
| Jun 30, 2025 | 919.50 Mn |
| Mar 31, 2025 | 900.10 Mn |
| Dec 31, 2024 | 883.10 Mn |
| Sep 30, 2024 | 892.80 Mn |
| Jun 30, 2024 | 844.00 Mn |
| Mar 31, 2024 | 831.80 Mn |
| Dec 31, 2023 | 812.80 Mn |
| Sep 30, 2023 | 770.10 Mn |
| Jun 30, 2023 | 734.70 Mn |
| Mar 31, 2023 | 724.40 Mn |
| Dec 31, 2022 | 693.80 Mn |
| Sep 30, 2022 | 737.70 Mn |
| Jun 30, 2022 | 758.60 Mn |
| Mar 31, 2022 | 805.50 Mn |
| Dec 31, 2021 | 762.40 Mn |
API Access
Jones Lang Lasalle Other Non-Current Assets 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=other-non-current-assets&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();