Jones Lang Lasalle (JLL) Return on Capital Employed [ROCE] (2010 - 2026)
Jones Lang Lasalle's Return on Capital Employed [ROCE] was 13.63% in Q3 2026, up 4.28 percentage points from 9.36% a year earlier and up 1.73 percentage points from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Jones Lang Lasalle came in at 11.10%, up 1.73 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +3.99 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 9.36% in FY2024 (+3.22 pp), 6.14% in FY2023 (-2.86 pp), 9.01% in FY2022 (-3.38 pp) and 12.39% in FY2021 (+5.28 pp).
- The Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q4 2018.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for ten straight quarters, with an average year-over-year change of +2.46 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2022 (a gain of 5.03 percentage points); the worst was Q2 2023 (a drop of 5.46 percentage points).
- Per Business Quant data, JLL's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 11.90% (Q2 2026), 11.31% (Q1 2026) and 10.87% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.15 Bn | 32.45 Bn | 2.13 Bn | 10.71% |
| 2 | KE Holdings | 20.91 Bn | -6.27 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 17.03 Bn | 15.02 Bn | - | 13.63% |
| 4 | Compass | 7.76 Bn | 6.21 Bn | - | -3.99% |
| 5 | Colliers International | 4.82 Bn | 3.86 Bn | 637.29 Mn | 7.25% |
| 6 | Cushman & Wakefield | 3.29 Bn | 915.02 Mn | 486.30 Mn | 9.81% |
| 7 | Newmark | 2.13 Bn | 1.20 Bn | - | 8.29% |
| 8 | Marcus & Millichap | 1.05 Bn | 143.99 Mn | - | 1.42% |
| 9 | Agnt | 521.12 Mn | 52.15 Mn | 90.97 Mn | -5.51% |
| 10 | Rmr | 261.94 Mn | 12.02 Mn | - | 6.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.63% |
| Jun 30, 2026 | 11.90% |
| Mar 31, 2026 | 11.31% |
| Dec 31, 2025 | 10.87% |
| Sep 30, 2025 | 9.36% |
| Jun 30, 2025 | 9.36% |
| Mar 31, 2025 | 8.68% |
| Dec 31, 2024 | 8.56% |
| Sep 30, 2024 | 8.89% |
| Jun 30, 2024 | 6.64% |
| Mar 31, 2024 | 6.30% |
| Dec 31, 2023 | 6.18% |
| Sep 30, 2023 | 5.29% |
| Jun 30, 2023 | 6.03% |
| Mar 31, 2023 | 6.79% |
| Dec 31, 2022 | 9.07% |
| Sep 30, 2022 | 10.67% |
| Jun 30, 2022 | 11.50% |
| Mar 31, 2022 | 11.33% |
| Dec 31, 2021 | 11.61% |
API Access
Jones Lang Lasalle Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();