Jones Lang Lasalle (JLL) Other Non-Current Liabilities (2009 - 2026)
Jones Lang Lasalle (JLL) recorded Other Non-Current Liabilities of $786.6 million in Q2 2026, up 18.4% from $664.1 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle reported Other Non-Current Liabilities of $737.2 million, up 10.8% from FY2024.
- Annual Other Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $665.4 million in FY2024 (+14.7%), $580 million in FY2023 (+17.8%), $492.4 million in FY2022 (-14.8%) and $577.7 million in FY2021 (-3.3%).
- The Q2 2026 figure is the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Other Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 20.4% in Q3 2024, against a decline of 14.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $742.3 million (Q1 2026), $737.2 million (Q4 2025) and $705.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 786.60 Mn |
| Mar 31, 2026 | 742.30 Mn |
| Dec 31, 2025 | 737.20 Mn |
| Sep 30, 2025 | 705.20 Mn |
| Jun 30, 2025 | 664.10 Mn |
| Mar 31, 2025 | 649.10 Mn |
| Dec 31, 2024 | 665.40 Mn |
| Sep 30, 2024 | 653.00 Mn |
| Jun 30, 2024 | 620.00 Mn |
| Mar 31, 2024 | 594.20 Mn |
| Dec 31, 2023 | 580.00 Mn |
| Sep 30, 2023 | 542.20 Mn |
| Jun 30, 2023 | 518.30 Mn |
| Mar 31, 2023 | 508.40 Mn |
| Dec 31, 2022 | 492.40 Mn |
| Sep 30, 2022 | 554.10 Mn |
| Jun 30, 2022 | 547.10 Mn |
| Mar 31, 2022 | 548.30 Mn |
| Dec 31, 2021 | 577.70 Mn |
| Sep 30, 2021 | 590.80 Mn |
API Access
Jones Lang Lasalle Other 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=other-non-current-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();