Jones Lang Lasalle (JLL) EBITDA Margin (2009 - 2026)
Jones Lang Lasalle's EBITDA Margin came in at 6.62% for Q3 2026, up 1.19 percentage points from 5.43% a year earlier and up 0.80 percentage points from the prior quarter.
Jones Lang Lasalle (JLL) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Jones Lang Lasalle reported EBITDA Margin of 6.24%, up 0.97 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 nine consecutive quarters, with an average year-over-year change of +0.59 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q1 2024 (a gain of 1.69 percentage points), and the weakest in Q1 2023 (a drop of 3.23 percentage points).
- Business Quant data shows JLL's EBITDA Margin at 5.82% (Q2 2026), 4.47% (Q1 2026) and 7.74% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.04 Bn | 33.34 Bn | 2.13 Bn | 6.89% |
| 2 | KE Holdings | 20.34 Bn | -6.84 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 17.40 Bn | 15.39 Bn | - | 6.62% |
| 4 | Compass | 8.16 Bn | 6.61 Bn | - | 6.43% |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | 10.97% |
| 6 | Cushman & Wakefield | 3.44 Bn | 1.06 Bn | 486.30 Mn | 5.65% |
| 7 | Newmark | 2.16 Bn | 1.23 Bn | - | 14.03% |
| 8 | Marcus & Millichap | 1.00 Bn | 98.21 Mn | - | 2.25% |
| 9 | Agnt | 533.70 Mn | 64.74 Mn | 90.97 Mn | 0.41% |
| 10 | Rmr | 264.79 Mn | 14.88 Mn | - | -1.71% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.62% |
| 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% |
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();