George Risk Industries (RSKIA) EBIT Margin (2015 - 2026)
George Risk Industries' EBIT Margin was 27.82% in 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) EBIT Margin (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, George Risk Industries' EBIT Margin was 27.37% through Jul 31, 2026, 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.
- EBIT Margin shows a five-year change of -0.64 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBIT 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).
- Quarterly EBIT Margin has moved between 20.61% (fiscal Q3 2023) and 32.51% (fiscal Q2 2024) over five years.
- Compared with a year earlier, EBIT Margin was higher in two of the last eight quarters, with an average year-over-year change of -1.43 percentage points.
- The best year-over-year quarter for EBIT Margin over five years was fiscal Q3 2024 (a gain of 7.53 percentage points); the worst was fiscal Q2 2025 (a drop of 6.09 percentage points).
- Per Business Quant data, RSKIA's EBIT Margin in the three fiscal quarters before Q1 2027 was 29.48% (Q4 2026), 23.29% (Q3 2026) and 28.20% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT 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 EBIT 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=ebit-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();