Jones Lang Lasalle (JLL) Long-Term Debt Repayments (2014 - 2026)
Jones Lang Lasalle (JLL) posted Long-Term Debt Repayments of $2.12 billion for Q2 2026, down 35.6% from $3.29 billion a year earlier but up 85.6% from the prior quarter.
Jones Lang Lasalle (JLL) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Jones Lang Lasalle was $7.29 billion, down 24.9% year-over-year; for FY2025, it was $9.23 billion, up 7.7% from FY2024.
- Annual Long-Term Debt Repayments has increased for four consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Long-Term Debt Repayments was $8.57 billion in FY2024 (+3.4%), $8.28 billion in FY2023 (+27.7%), $6.49 billion in FY2022 (+31.2%) and $4.94 billion in FY2021 (-13.9%).
- Quarterly Long-Term Debt Repayments has run from a low of -$1.02 billion in Q4 2025 to a high of $5.05 billion in Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last seven quarters, with growth averaging 16.7%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2025, with growth of 124.9%; the weakest was Q1 2026, with a decline of 40.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.14 billion (Q1 2026), -$1.02 billion (Q4 2025) and $5.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 38.42 Bn | 31.73 Bn | 2.09 Bn | 18.00 Mn |
| 2 | KE Holdings | 19.08 Bn | -8.10 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.46 Bn | 12.53 Bn | - | 2.12 Bn |
| 4 | Compass | 7.52 Bn | 5.97 Bn | - | - |
| 5 | Colliers International | 4.89 Bn | 3.96 Bn | 635.11 Mn | -220.49 Mn |
| 6 | Cushman & Wakefield | 2.84 Bn | 318.88 Mn | 512.00 Mn | 1.30 Bn |
| 7 | Newmark | 2.12 Bn | 1.19 Bn | - | 75.00 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 176.52 Mn | - | - |
| 9 | Agnt | 692.06 Mn | 221.75 Mn | 98.80 Mn | - |
| 10 | Rmr | 298.21 Mn | 48.29 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | -1.02 Bn |
| Sep 30, 2025 | 5.05 Bn |
| Jun 30, 2025 | 3.29 Bn |
| Mar 31, 2025 | 1.91 Bn |
| Dec 31, 2024 | 2.26 Bn |
| Sep 30, 2024 | 2.25 Bn |
| Jun 30, 2024 | 2.07 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 31, 2023 | 2.69 Bn |
| Sep 30, 2023 | 1.74 Bn |
| Jun 30, 2023 | 2.06 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 2.18 Bn |
| Sep 30, 2022 | 1.75 Bn |
| Jun 30, 2022 | 1.46 Bn |
| Mar 31, 2022 | 1.37 Bn |
| Dec 31, 2021 | 1.74 Bn |
| Sep 30, 2021 | 1.18 Bn |
Jones Lang Lasalle Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();