Information Services (III) Return on Capital Employed [ROCE] (2011 - 2026)
Information Services (III) posted Return on Capital Employed [ROCE] of 12.02% for Q2 2026, up 4.38 percentage points from 7.64% a year earlier and up 0.87 percentage points from the prior quarter.
Information Services (III) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Information Services' Return on Capital Employed [ROCE] came in at 10.62%, up 7.55 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +5.42 percentage points (FY2020 to FY2025).
- In prior years, Information Services' Return on Capital Employed [ROCE] was 3.07% in FY2024 (-4.28 pp), 7.35% in FY2023 (-8.28 pp), 15.62% in FY2022 (+1.69 pp) and 13.94% in FY2021 (+8.74 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last six quarters, with an average year-over-year change of +2.07 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 8.75 percentage points; the weakest was Q1 2024, with a drop of 11.72 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 11.15% (Q1 2026), 10.35% (Q4 2025) and 7.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 8.75% |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 30.79% |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 25.89% |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 29.65% |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 7.98% |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Information Services | 298.91 Mn | 195.15 Mn | 31.97 Mn | 12.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.02% |
| Mar 31, 2026 | 11.15% |
| Dec 31, 2025 | 10.35% |
| Sep 30, 2025 | 7.80% |
| Jun 30, 2025 | 7.64% |
| Mar 31, 2025 | 6.93% |
| Dec 31, 2024 | 3.25% |
| Sep 30, 2024 | 1.13% |
| Jun 30, 2024 | 2.13% |
| Mar 31, 2024 | 2.65% |
| Dec 31, 2023 | 7.34% |
| Sep 30, 2023 | 12.64% |
| Jun 30, 2023 | 13.15% |
| Mar 31, 2023 | 14.37% |
| Dec 31, 2022 | 16.62% |
| Sep 30, 2022 | 16.93% |
| Jun 30, 2022 | 16.36% |
| Mar 31, 2022 | 15.64% |
| Dec 31, 2021 | 13.78% |
| Sep 30, 2021 | 12.07% |
Information Services 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=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "III", "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=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();