George Risk Industries (RSKIA) Net Margin (2015 - 2026)
George Risk Industries' Net Margin was 32.00% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 32.29 percentage points from 64.29% a year earlier and down 7.82 percentage points from the prior quarter.
George Risk Industries (RSKIA) Net Margin (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, George Risk Industries' Net Margin was 37.93% through Jul 31, 2026, up 1.65 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 45.82%, up 14.17 percentage points from FY2025.
- Net Margin shows a five-year change of -12.66 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Net Margin was 31.65% in FY2025 (-3.07 pp), 34.72% in FY2024 (+10.91 pp), 23.81% in FY2023 (+6.61 pp) and 17.20% in FY2022 (-41.28 pp).
- The fiscal Q1 2027 figure marks the lowest quarterly Net Margin since fiscal Q4 2025.
- Compared with a year earlier, Net Margin was higher in four of the last eight quarters, with an average year-over-year change of +1.37 percentage points.
- The best year-over-year quarter for Net Margin over five years was fiscal Q3 2023 (a gain of 42.83 percentage points); the worst was fiscal Q3 2022 (a drop of 92.80 percentage points).
- Per Business Quant data, RSKIA's Net Margin in the three fiscal quarters before Q1 2027 was 39.82% (Q4 2026), 43.82% (Q3 2026) and 37.00% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 12.50% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 17.59% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 5.00% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 3.95% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 13.34% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.93% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 30.15% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 16.44% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 32.00% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 32.00% |
| Apr 30, 2026 | 39.82% |
| Jan 31, 2026 | 43.82% |
| Oct 31, 2025 | 37.00% |
| Jul 31, 2025 | 64.29% |
| Apr 30, 2025 | 9.71% |
| Jan 31, 2025 | 32.72% |
| Oct 31, 2024 | 39.46% |
| Jul 31, 2024 | 46.80% |
| Apr 30, 2024 | 35.77% |
| Jan 31, 2024 | 60.05% |
| Oct 31, 2023 | -0.91% |
| Jul 31, 2023 | 50.21% |
| Apr 30, 2023 | 22.78% |
| Jan 31, 2023 | 46.01% |
| Oct 31, 2022 | 10.81% |
| Jul 31, 2022 | 20.17% |
| Apr 30, 2022 | -0.53% |
| Jan 31, 2022 | 3.19% |
| Oct 31, 2021 | 32.19% |
George Risk Industries Net 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=net-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();