Jones Lang Lasalle (JLL) Non-Current Assets (2009 - 2026)
Jones Lang Lasalle (JLL) recorded Non-Current Assets of $9.64 billion in Q2 2026, up 1.6% from $9.49 billion a year earlier and up 0.6% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle reported Non-Current Assets of $9.62 billion, up 3.6% from FY2024.
- Annual Non-Current Assets has increased for three straight years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $9.29 billion in FY2024 (+0.8%), $9.21 billion in FY2023 (+2.0%), $9.02 billion in FY2022 (-1.0%) and $9.12 billion in FY2021 (+16.0%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2009.
- On a year-over-year basis, Non-Current Assets has increased for 12 consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 16.0% in Q4 2021, against a decline of 1.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.58 billion (Q1 2026), $9.62 billion (Q4 2025) and $9.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 6.17 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 17.56 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.64 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 6.95 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 691,926.00 |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 4.93 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.10 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 495.16 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 147.78 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 560.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.64 Bn |
| Mar 31, 2026 | 9.58 Bn |
| Dec 31, 2025 | 9.62 Bn |
| Sep 30, 2025 | 9.54 Bn |
| Jun 30, 2025 | 9.49 Bn |
| Mar 31, 2025 | 9.40 Bn |
| Dec 31, 2024 | 9.29 Bn |
| Sep 30, 2024 | 9.41 Bn |
| Jun 30, 2024 | 9.28 Bn |
| Mar 31, 2024 | 9.17 Bn |
| Dec 31, 2023 | 9.21 Bn |
| Sep 30, 2023 | 9.10 Bn |
| Jun 30, 2023 | 9.12 Bn |
| Mar 31, 2023 | 9.08 Bn |
| Dec 31, 2022 | 9.02 Bn |
| Sep 30, 2022 | 9.01 Bn |
| Jun 30, 2022 | 9.12 Bn |
| Mar 31, 2022 | 9.23 Bn |
| Dec 31, 2021 | 9.12 Bn |
| Sep 30, 2021 | 8.20 Bn |
API Access
Jones Lang Lasalle 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=non-current-assets&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();