Jones Lang Lasalle (JLL) Return on Sales [ROS] (2009 - 2026)
Jones Lang Lasalle's Return on Sales [ROS] came in at 5.37% for Q3 2026, up 1.17 percentage points from 4.20% a year earlier and up 1.17 percentage points from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Jones Lang Lasalle reported Return on Sales [ROS] of 4.94%, up 1.13 percentage points year-over-year; for FY2025, it was 4.20%, up 0.50 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +0.83 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 3.70% in FY2024 (+0.93 pp), 2.78% in FY2023 (-1.38 pp), 4.16% in FY2022 (-1.23 pp) and 5.39% in FY2021 (+2.02 pp).
- The five-year range for quarterly Return on Sales [ROS] is 0.38% (Q1 2023) to 7.49% (Q4 2021).
- Year-over-year, Return on Sales [ROS] has increased for six consecutive quarters, with an average year-over-year change of +0.71 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 1.85 percentage points), and the weakest in Q1 2023 (a drop of 3.28 percentage points).
- Business Quant data shows JLL's Return on Sales [ROS] at 4.20% (Q2 2026), 3.20% (Q1 2026) and 6.66% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 12.33% |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 4.87% |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 5.37% |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 2.23% |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 6.15% |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 4.63% |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 8.75% |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | -0.43% |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | -6.04% |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 0.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.37% |
| Jun 30, 2026 | 4.20% |
| Mar 31, 2026 | 3.20% |
| Dec 31, 2025 | 6.66% |
| Sep 30, 2025 | 4.20% |
| Jun 30, 2025 | 3.16% |
| Mar 31, 2025 | 2.09% |
| Dec 31, 2024 | 5.48% |
| Sep 30, 2024 | 3.89% |
| Jun 30, 2024 | 2.71% |
| Mar 31, 2024 | 2.23% |
| Dec 31, 2023 | 4.94% |
| Sep 30, 2023 | 2.33% |
| Jun 30, 2023 | 2.95% |
| Mar 31, 2023 | 0.38% |
| Dec 31, 2022 | 4.54% |
| Sep 30, 2022 | 3.91% |
| Jun 30, 2022 | 4.45% |
| Mar 31, 2022 | 3.66% |
| Dec 31, 2021 | 7.49% |
API Access
Jones Lang Lasalle Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();