Jones Lang Lasalle (JLL) EBITDA Margin (2009 - 2026)
Jones Lang Lasalle's EBITDA Margin came in at 5.82% for Q2 2026, up 0.87 percentage points from 4.95% a year earlier and up 1.34 percentage points from the prior quarter.
Jones Lang Lasalle (JLL) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jones Lang Lasalle reported EBITDA Margin of 5.95%, up 0.69 percentage points year-over-year; for FY2025, it came in at 5.61%, up 0.40 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +0.37 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 5.21% in FY2024 (+0.91 pp), 4.30% in FY2023 (-1.36 pp), 5.67% in FY2022 (-1.34 pp) and 7.01% in FY2021 (+1.77 pp).
- The five-year range for quarterly EBITDA Margin is 1.95% (Q1 2023) to 8.94% (Q4 2021).
- Year-over-year, EBITDA Margin has increased for eight consecutive quarters, with an average year-over-year change of +0.64 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q3 2021 (a gain of 1.88 percentage points), and the weakest in Q1 2023 (a drop of 3.23 percentage points).
- Business Quant data shows JLL's EBITDA Margin at 4.47% (Q1 2026), 7.74% (Q4 2025) and 5.43% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 5.39% |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 5.82% |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 6.43% |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 4.61% |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 5.89% |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 14.03% |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 2.25% |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | -3.17% |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 0.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.82% |
| Mar 31, 2026 | 4.47% |
| Dec 31, 2025 | 7.74% |
| Sep 30, 2025 | 5.43% |
| Jun 30, 2025 | 4.95% |
| Mar 31, 2025 | 3.72% |
| Dec 31, 2024 | 6.73% |
| Sep 30, 2024 | 5.38% |
| Jun 30, 2024 | 4.62% |
| Mar 31, 2024 | 3.64% |
| Dec 31, 2023 | 6.31% |
| Sep 30, 2023 | 3.75% |
| Jun 30, 2023 | 4.86% |
| Mar 31, 2023 | 1.95% |
| Dec 31, 2022 | 5.95% |
| Sep 30, 2022 | 5.48% |
| Jun 30, 2022 | 5.99% |
| Mar 31, 2022 | 5.18% |
| Dec 31, 2021 | 8.94% |
| Sep 30, 2021 | 7.56% |
Jones Lang Lasalle EBITDA Margin 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=ebitda-margin&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();