Jones Lang Lasalle (JLL) Total Non-Current Liabilities (2009 - 2026)
Jones Lang Lasalle's Total Non-Current Liabilities was $9.19 billion in Q3 2026, up 4.6% from $8.78 billion a year earlier and up 5.9% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Jones Lang Lasalle came in at $9.01 billion, up 2.6% from FY2024.
- Total Non-Current Liabilities has now increased for 12 consecutive years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $8.78 billion in FY2024 (+1.7%), $8.64 billion in FY2023 (+1.9%), $8.48 billion in FY2022 (+7.0%) and $7.92 billion in FY2021 (+3.8%).
- Quarterly Total Non-Current Liabilities has moved between $7.87 billion (Q1 2022) and $9.97 billion (Q3 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 2.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 32.5%); the worst was Q3 2025 (a decline of 11.9%).
- Per Business Quant data, JLL's Total Non-Current Liabilities in the three quarters before Q3 2026 was $8.67 billion (Q2 2026), $9.32 billion (Q1 2026) and $9.01 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 20.30 Bn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | 1.11 Bn |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 9.19 Bn |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | 2.31 Bn |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | 5.38 Bn |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 149.48 Mn |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | 1.76 Mn |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | 303.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.19 Bn |
| Jun 30, 2026 | 8.67 Bn |
| Mar 31, 2026 | 9.32 Bn |
| Dec 31, 2025 | 9.01 Bn |
| Sep 30, 2025 | 8.78 Bn |
| Jun 30, 2025 | 9.14 Bn |
| Mar 31, 2025 | 8.61 Bn |
| Dec 31, 2024 | 8.78 Bn |
| Sep 30, 2024 | 9.97 Bn |
| Jun 30, 2024 | 8.37 Bn |
| Mar 31, 2024 | 8.05 Bn |
| Dec 31, 2023 | 8.64 Bn |
| Sep 30, 2023 | 8.32 Bn |
| Jun 30, 2023 | 8.68 Bn |
| Mar 31, 2023 | 8.71 Bn |
| Dec 31, 2022 | 8.48 Bn |
| Sep 30, 2022 | 8.28 Bn |
| Jun 30, 2022 | 8.58 Bn |
| Mar 31, 2022 | 7.87 Bn |
| Dec 31, 2021 | 7.92 Bn |
API Access
Jones Lang Lasalle Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();