George Risk Industries (RSKIA) Gross Margin (2015 - 2026)
George Risk Industries (RSKIA) recorded Gross Margin of 47.11% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 4.15 percentage points from 51.25% a year earlier and down 1.59 percentage points from the prior quarter.
George Risk Industries (RSKIA) Gross Margin (2015 - 2026) Analysis & Trends
On a TTM basis, George Risk Industries' Gross Margin came in at 47.10% as of Jul 31, 2026, down 1.40 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was 48.08%, down 0.32 percentage points from FY2025.
- Annual Gross Margin has a five-year change of -2.33 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Gross Margin came in at 48.41% in FY2025 (-1.40 pp), 49.80% in FY2024 (+2.89 pp), 46.92% in FY2023 (-1.38 pp) and 48.30% in FY2022 (-2.11 pp).
- Quarterly Gross Margin has ranged from 43.39% in fiscal Q3 2022 to 51.28% in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Gross Margin rose in two of the last eight quarters, with an average year-over-year change of -1.72 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 5.29 percentage points in fiscal Q3 2024, against a drop of 5.13 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 48.70% (Q4 2026), 45.36% (Q3 2026) and 46.88% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 50.95% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 52.76% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 31.19% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 52.84% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 8.51% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 51.10% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 70.95% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 47.11% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 47.11% |
| Apr 30, 2026 | 48.70% |
| Jan 31, 2026 | 45.36% |
| Oct 31, 2025 | 46.88% |
| Jul 31, 2025 | 51.25% |
| Apr 30, 2025 | 47.38% |
| Jan 31, 2025 | 46.78% |
| Oct 31, 2024 | 48.35% |
| Jul 31, 2024 | 50.95% |
| Apr 30, 2024 | 50.27% |
| Jan 31, 2024 | 49.31% |
| Oct 31, 2023 | 51.28% |
| Jul 31, 2023 | 47.93% |
| Apr 30, 2023 | 47.15% |
| Jan 31, 2023 | 44.02% |
| Oct 31, 2022 | 47.05% |
| Jul 31, 2022 | 49.00% |
| Apr 30, 2022 | 48.72% |
| Jan 31, 2022 | 43.39% |
| Oct 31, 2021 | 47.96% |
George Risk Industries Gross 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=gross-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();