Information Services (III) Return on Sales [ROS] (2010 - 2026)
Information Services (III) recorded Return on Sales [ROS] of 8.94% in Q2 2026, up 1.37 percentage points from 7.58% a year earlier and up 0.74 percentage points from the prior quarter.
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Analysis
Information Services (III) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Information Services' Return on Sales [ROS] came in at 8.24% as of Jun 30, 2026, up 3.02 percentage points year-over-year; for FY2025, it was 7.27%, up 4.95 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.55 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 2.33% in FY2024 (-2.70 pp), 5.02% in FY2023 (-5.28 pp), 10.30% in FY2022 (+1.20 pp) and 9.09% in FY2021 (+5.37 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for seven consecutive quarters, with an average year-over-year change of +3.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 9.39 percentage points in Q1 2025, against a drop of 14.99 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.20% (Q1 2026), 8.41% (Q4 2025) and 7.36% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Information Services | 275.70 Mn | 171.93 Mn | 31.97 Mn | 8.94% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.94% |
| Mar 31, 2026 | 8.20% |
| Dec 31, 2025 | 8.41% |
| Sep 30, 2025 | 7.36% |
| Jun 30, 2025 | 7.58% |
| Mar 31, 2025 | 5.70% |
| Dec 31, 2024 | 0.32% |
| Sep 30, 2024 | 7.01% |
| Jun 30, 2024 | 5.68% |
| Mar 31, 2024 | -3.69% |
| Dec 31, 2023 | -5.32% |
| Sep 30, 2023 | 8.67% |
| Jun 30, 2023 | 6.52% |
| Mar 31, 2023 | 8.98% |
| Dec 31, 2022 | 9.67% |
| Sep 30, 2022 | 10.79% |
| Jun 30, 2022 | 10.11% |
| Mar 31, 2022 | 10.66% |
| Dec 31, 2021 | 10.27% |
| Sep 30, 2021 | 10.22% |
API Access
Information Services 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=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();