Jones Lang Lasalle (JLL) Current Debt (2018 - 2024)
Jones Lang Lasalle (JLL) posted Current Debt of -$63.9 million for FY2025, compared with $2.9 million in FY2024.
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Analysis
Jones Lang Lasalle (JLL) Current Debt (2018 - 2024) Analysis & Trends
Since FY2017, Jones Lang Lasalle has reported Current Debt for 9 years.
- The FY2025 figure stands as the lowest annual Current Debt since FY2020.
- Business Quant data shows JLL's Current Debt at $2.9 million in FY2024, -$24.8 million in FY2023, $20.1 million in FY2022 (-78.1%) and $91.8 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | -343.00 Mn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | - |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | - |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | - |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | - |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | - |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.30 Mn |
| Mar 31, 2024 | -18.70 Mn |
| Dec 31, 2023 | 21.60 Mn |
| Sep 30, 2023 | 8.90 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | -62.30 Mn |
| Dec 31, 2022 | -89.50 Mn |
| Sep 30, 2022 | 122.10 Mn |
| Jun 30, 2022 | 14.90 Mn |
| Mar 31, 2022 | -27.40 Mn |
| Dec 31, 2021 | 31.40 Mn |
| Sep 30, 2021 | 12.80 Mn |
| Jun 30, 2021 | 10.80 Mn |
| Mar 31, 2021 | 36.80 Mn |
| Dec 31, 2020 | -47.20 Mn |
| Sep 30, 2020 | -12.30 Mn |
| Jun 30, 2020 | -11.40 Mn |
| Mar 31, 2020 | 6.60 Mn |
| Dec 31, 2019 | 18.20 Mn |
| Sep 30, 2019 | -17.40 Mn |
API Access
Jones Lang Lasalle Current Debt 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=current-debt&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();