George Risk Industries (RSKIA) Return on Sales [ROS] (2015 - 2026)
George Risk Industries (RSKIA) posted Return on Sales [ROS] of 27.82% for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 2.83 percentage points from 30.65% a year earlier and down 1.66 percentage points from the prior quarter.
George Risk Industries (RSKIA) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Return on Sales [ROS] at George Risk Industries was 27.37%, down 0.31 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 28.03%, up 0.35 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -0.64 percentage points (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Return on Sales [ROS] was 27.68% in FY2025 (-1.21 pp), 28.89% in FY2024 (+3.57 pp), 25.33% in FY2023 (-1.91 pp) and 27.24% in FY2022 (-1.43 pp).
- Quarterly Return on Sales [ROS] has run from a low of 20.61% in fiscal Q3 2023 to a high of 32.51% in fiscal Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.43 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2024, with a gain of 7.53 percentage points; the weakest was fiscal Q2 2025, with a drop of 6.09 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 29.48% (Q4 2026), 23.29% (Q3 2026) and 28.20% (Q2 2026).
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 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | 27.82% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 27.82% |
| Apr 30, 2026 | 29.48% |
| Jan 31, 2026 | 23.29% |
| Oct 31, 2025 | 28.20% |
| Jul 31, 2025 | 30.65% |
| Apr 30, 2025 | 28.64% |
| Jan 31, 2025 | 24.35% |
| Oct 31, 2024 | 26.42% |
| Jul 31, 2024 | 30.69% |
| Apr 30, 2024 | 28.88% |
| Jan 31, 2024 | 28.14% |
| Oct 31, 2023 | 32.51% |
| Jul 31, 2023 | 25.11% |
| Apr 30, 2023 | 24.70% |
| Jan 31, 2023 | 20.61% |
| Oct 31, 2022 | 26.94% |
| Jul 31, 2022 | 28.14% |
| Apr 30, 2022 | 28.27% |
| Jan 31, 2022 | 22.64% |
| Oct 31, 2021 | 27.15% |
George Risk Industries 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=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RSKIA", "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=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();