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 | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | George Risk Industries | 99.58 Mn | -88.70 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();