George Risk Industries (RSKIA) Operating Margin (2015 - 2026)
George Risk Industries' Operating Margin came in at 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) Operating Margin (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, George Risk Industries reported Operating Margin of 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.
- Operating Margin carries a five-year change of -0.64 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin 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).
- The five-year range for quarterly Operating Margin is 20.61% (fiscal Q3 2023) to 32.51% (fiscal Q2 2024).
- Year-over-year, Operating Margin increased in two of the last eight quarters, with an average year-over-year change of -1.43 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q3 2024 (a gain of 7.53 percentage points), and the weakest in fiscal Q2 2025 (a drop of 6.09 percentage points).
- Business Quant data shows RSKIA's Operating Margin at 29.48% (Q4 2026), 23.29% (Q3 2026) and 28.20% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 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 Operating Margin 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=operating-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();