Jones Lang Lasalle (JLL) Total Non-Current Liabilities (2009 - 2026)
Jones Lang Lasalle's Total Non-Current Liabilities was $9.08 billion in Q2 2026, down 4.6% from $9.51 billion a year earlier and down 6.6% 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 $9.44 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 3.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.2 billion in FY2024 (+1.4%), $9.07 billion in FY2023 (+1.3%), $8.96 billion in FY2022 (+5.2%) and $8.51 billion in FY2021 (+5.0%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 3.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 22.9%); the worst was Q3 2025 (a decline of 11.7%).
- Per Business Quant data, JLL's Total Non-Current Liabilities in the three quarters before Q2 2026 was $9.72 billion (Q1 2026), $9.44 billion (Q4 2025) and $9.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.35 Bn | 32.67 Bn | 2.09 Bn | 19.91 Bn |
| 2 | KE Holdings | 19.95 Bn | -7.24 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.29 Bn | 12.37 Bn | - | 8.67 Bn |
| 4 | Compass | 7.16 Bn | 5.62 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.75 Bn | 3.82 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 2.69 Bn | 174.73 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 2.09 Bn | 1.16 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.06 Bn | 158.93 Mn | - | 149.48 Mn |
| 9 | Agnt | 670.46 Mn | 200.14 Mn | 98.80 Mn | - |
| 10 | Rmr | 295.61 Mn | 45.69 Mn | - | 303.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 8.36 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();