Jones Lang Lasalle (JLL) Total Current Liabilities (2009 - 2026)
Jones Lang Lasalle (JLL) posted Total Current Liabilities of $6.95 billion for Q2 2026, down 3.0% from $7.17 billion a year earlier and down 5.9% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Total Current Liabilities came in at $7.39 billion, up 3.4% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Total Current Liabilities was $7.14 billion in FY2024 (+10.8%), $6.45 billion in FY2023 (+9.0%), $5.91 billion in FY2022 (-8.9%) and $6.49 billion in FY2021 (+5.9%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 14.7%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2024, with growth of 48.0%; the weakest was Q3 2022, with a decline of 19.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $7.39 billion (Q1 2026), $7.39 billion (Q4 2025) and $6.96 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current 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 | 11.32 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 6.95 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 1.30 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 1.77 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 2.44 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 1.92 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 92.83 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 258.32 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 109.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Bn |
| Mar 31, 2026 | 7.39 Bn |
| Dec 31, 2025 | 7.39 Bn |
| Sep 30, 2025 | 6.96 Bn |
| Jun 30, 2025 | 7.17 Bn |
| Mar 31, 2025 | 6.63 Bn |
| Dec 31, 2024 | 7.14 Bn |
| Sep 30, 2024 | 8.03 Bn |
| Jun 30, 2024 | 5.51 Bn |
| Mar 31, 2024 | 5.10 Bn |
| Dec 31, 2023 | 6.45 Bn |
| Sep 30, 2023 | 5.43 Bn |
| Jun 30, 2023 | 5.49 Bn |
| Mar 31, 2023 | 5.27 Bn |
| Dec 31, 2022 | 5.91 Bn |
| Sep 30, 2022 | 5.40 Bn |
| Jun 30, 2022 | 5.34 Bn |
| Mar 31, 2022 | 5.40 Bn |
| Dec 31, 2021 | 6.49 Bn |
| Sep 30, 2021 | 6.67 Bn |
API Access
Jones Lang Lasalle Total 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-current-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();