Jones Lang Lasalle (JLL) Non-Current Assets (2009 - 2026)
Jones Lang Lasalle (JLL) recorded Non-Current Assets of $9.71 billion in Q3 2026, up 1.8% from $9.54 billion a year earlier and up 0.7% 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 Q3 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 13 consecutive quarters, with growth averaging 2.0% 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 $9.64 billion (Q2 2026), $9.58 billion (Q1 2026) and $9.62 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 6.19 Bn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 17.66 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 9.71 Bn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 7.10 Bn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 3.71 Bn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 5.03 Bn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 3.12 Bn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 469.32 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 560.28 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 141.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.71 Bn |
| 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 |
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();