Jones Lang Lasalle (JLL) Other Non-Current Assets (2009 - 2026)
Jones Lang Lasalle's Other Non-Current Assets came in at $797.2 million for Q2 2026, up 18.1% from $674.9 million a year earlier and up 6.0% from the prior quarter.
Jones Lang Lasalle (JLL) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Other Non-Current Assets was $723.6 million, up 9.0% from FY2024.
- Other Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $664 million in FY2024 (+9.9%), $604.3 million in FY2023 (+16.7%), $517.9 million in FY2022 (-2.1%) and $528.8 million in FY2021 (+18.5%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Assets in data going back to Q4 2009.
- Year-over-year, Other Non-Current Assets has increased for 13 consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q3 2021 (growth of 27.1%), and the weakest in Q4 2022 (a decline of 2.1%).
- Business Quant data shows JLL's Other Non-Current Assets at $751.8 million (Q1 2026), $723.6 million (Q4 2025) and $716 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 289.84 Mn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 1.83 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 797.20 Mn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 505.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 233.06 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 999.90 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 226.06 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 29.24 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 23.16 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 61.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 797.20 Mn |
| Mar 31, 2026 | 751.80 Mn |
| Dec 31, 2025 | 723.60 Mn |
| Sep 30, 2025 | 716.00 Mn |
| Jun 30, 2025 | 674.90 Mn |
| Mar 31, 2025 | 673.40 Mn |
| Dec 31, 2024 | 664.00 Mn |
| Sep 30, 2024 | 672.20 Mn |
| Jun 30, 2024 | 639.80 Mn |
| Mar 31, 2024 | 627.10 Mn |
| Dec 31, 2023 | 604.30 Mn |
| Sep 30, 2023 | 590.30 Mn |
| Jun 30, 2023 | 559.50 Mn |
| Mar 31, 2023 | 551.30 Mn |
| Dec 31, 2022 | 517.90 Mn |
| Sep 30, 2022 | 520.20 Mn |
| Jun 30, 2022 | 528.10 Mn |
| Mar 31, 2022 | 558.30 Mn |
| Dec 31, 2021 | 528.80 Mn |
| Sep 30, 2021 | 522.20 Mn |
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_KEY
import 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();