Jones Lang Lasalle (JLL) Total Liabilities (2009 - 2026)
Jones Lang Lasalle (JLL) reported Total Liabilities of $9.86 billion for Q2 2026, down 3.1% from $10.18 billion a year earlier and down 5.7% from the prior quarter.
Jones Lang Lasalle (JLL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle posted Total Liabilities of $10.18 billion, up 3.1% from FY2024.
- Total Liabilities has increased for 16 consecutive years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $9.87 billion in FY2024 (+2.2%), $9.65 billion in FY2023 (+2.2%), $9.45 billion in FY2022 (+4.0%) and $9.09 billion in FY2021 (+4.4%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2025.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 4.1%.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 20.8%); the low point was Q3 2025 (a decline of 10.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.46 billion (Q1 2026), $10.18 billion (Q4 2025) and $9.88 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 21.75 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.86 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.29 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.53 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 186.88 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 258.32 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 315.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.86 Bn |
| Mar 31, 2026 | 10.46 Bn |
| Dec 31, 2025 | 10.18 Bn |
| Sep 30, 2025 | 9.88 Bn |
| Jun 30, 2025 | 10.18 Bn |
| Mar 31, 2025 | 9.67 Bn |
| Dec 31, 2024 | 9.87 Bn |
| Sep 30, 2024 | 11.05 Bn |
| Jun 30, 2024 | 9.41 Bn |
| Mar 31, 2024 | 9.07 Bn |
| Dec 31, 2023 | 9.65 Bn |
| Sep 30, 2023 | 9.32 Bn |
| Jun 30, 2023 | 9.64 Bn |
| Mar 31, 2023 | 9.69 Bn |
| Dec 31, 2022 | 9.45 Bn |
| Sep 30, 2022 | 9.38 Bn |
| Jun 30, 2022 | 9.13 Bn |
| Mar 31, 2022 | 8.98 Bn |
| Dec 31, 2021 | 9.09 Bn |
| Sep 30, 2021 | 9.50 Bn |
Jones Lang Lasalle Total 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-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();