Jones Lang Lasalle (JLL) Interest Paid (2009 - 2026)
Jones Lang Lasalle (JLL) posted Interest Paid of $12.9 million for Q3 2026, down 43.4% from $22.8 million a year earlier and down 63.7% from the prior quarter.
Jones Lang Lasalle (JLL) Interest Paid (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Interest Paid at Jones Lang Lasalle was $93.1 million, down 26.5% year-over-year; for FY2025, it was $118.5 million, down 19.4% from FY2024.
- Annual Interest Paid shows a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Interest Paid was $147 million in FY2024 (+1.5%), $144.8 million in FY2023 (+94.9%), $74.3 million in FY2022 (+91.5%) and $38.8 million in FY2021 (-22.7%).
- Quarterly Interest Paid has run from a low of $5.5 million in Q1 2022 to a high of $52.6 million in Q2 2024 over five years.
- On a year-over-year basis, Interest Paid has declined in each of the last seven quarters, with an average decline of 21.7% over the last eight quarters.
- The strongest year-over-year quarter for Interest Paid in the past five years was Q1 2023, with growth of 334.5%; the weakest was Q3 2026, with a decline of 43.4%.
- According to Business Quant data, Interest Paid for the three prior quarters was $35.5 million (Q2 2026), $11.3 million (Q1 2026) and $33.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 130.00 Mn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | - |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 12.90 Mn |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | 62.00 Mn |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | - |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | - |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 3.64 Mn |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 73,000.00 |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | - |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | 2.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.90 Mn |
| Jun 30, 2026 | 35.50 Mn |
| Mar 31, 2026 | 11.30 Mn |
| Dec 31, 2025 | 33.40 Mn |
| Sep 30, 2025 | 22.80 Mn |
| Jun 30, 2025 | 43.00 Mn |
| Mar 31, 2025 | 19.30 Mn |
| Dec 31, 2024 | 41.60 Mn |
| Sep 30, 2024 | 29.90 Mn |
| Jun 30, 2024 | 52.60 Mn |
| Mar 31, 2024 | 22.90 Mn |
| Dec 31, 2023 | 39.20 Mn |
| Sep 30, 2023 | 40.50 Mn |
| Jun 30, 2023 | 41.20 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 33.10 Mn |
| Sep 30, 2022 | 14.80 Mn |
| Jun 30, 2022 | 20.90 Mn |
| Mar 31, 2022 | 5.50 Mn |
| Dec 31, 2021 | 14.30 Mn |
Jones Lang Lasalle Interest Paid 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=interest-paid&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();