George Risk Industries (RSKIA) EBT Margin (2015 - 2026)
George Risk Industries (RSKIA) reported EBT Margin of 49.04% for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 31.04 percentage points from 80.08% a year earlier and down 3.63 percentage points from the prior quarter.
George Risk Industries (RSKIA) EBT Margin (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, George Risk Industries' EBT Margin came in at 50.90%, up 5.94 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 58.35%, up 17.92 percentage points from FY2025.
- EBT Margin has a five-year change of -19.72 percentage points (FY2021 to FY2026).
- By fiscal year, EBT Margin came in at 40.43% in FY2025 (-6.99 pp), 47.43% in FY2024 (+18.32 pp), 29.11% in FY2023 (+8.17 pp) and 20.94% in FY2022 (-57.13 pp).
- Five-year quarterly EBT Margin spans a low of -6.42% in fiscal Q4 2022 and a high of 89.86% in fiscal Q3 2024.
- Year over year, EBT Margin gained in five of the last eight quarters, with an average year-over-year change of +0.71 percentage points.
- The high point for year-over-year EBT Margin in five years was fiscal Q3 2023 (a gain of 60.12 percentage points); the low point was fiscal Q3 2022 (a drop of 115.15 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 52.66% (Q4 2026), 53.28% (Q3 2026) and 48.87% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 16.83% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 22.32% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 5.96% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.12% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 17.59% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 2.68% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 41.42% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 21.16% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 49.04% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 49.04% |
| Apr 30, 2026 | 52.66% |
| Jan 31, 2026 | 53.28% |
| Oct 31, 2025 | 48.87% |
| Jul 31, 2025 | 80.08% |
| Apr 30, 2025 | 8.83% |
| Jan 31, 2025 | 46.03% |
| Oct 31, 2024 | 47.27% |
| Jul 31, 2024 | 63.13% |
| Apr 30, 2024 | 47.41% |
| Jan 31, 2024 | 89.86% |
| Oct 31, 2023 | -2.23% |
| Jul 31, 2023 | 62.61% |
| Apr 30, 2023 | 25.04% |
| Jan 31, 2023 | 61.29% |
| Oct 31, 2022 | 10.29% |
| Jul 31, 2022 | 26.18% |
| Apr 30, 2022 | -6.42% |
| Jan 31, 2022 | 1.17% |
| Oct 31, 2021 | 43.61% |
George Risk Industries EBT 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=ebt-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();