George Risk Industries (RSKIA) EBITDA Margin (2015 - 2026)
George Risk Industries (RSKIA) posted EBITDA Margin of 29.40% for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.83 percentage points from 31.23% a year earlier and down 1.58 percentage points from the prior quarter.
George Risk Industries (RSKIA) EBITDA Margin (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBITDA Margin at George Risk Industries was 29.01%, down 0.42 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was 29.44%, down 0.40 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of -1.40 percentage points (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' EBITDA Margin was 29.84% in FY2025 (-1.29 pp), 31.13% in FY2024 (+3.58 pp), 27.55% in FY2023 (-1.78 pp) and 29.34% in FY2022 (-1.50 pp).
- Quarterly EBITDA Margin has run from a low of 23.20% in fiscal Q3 2023 to a high of 34.56% in fiscal Q2 2024 over five years.
- On a year-over-year basis, EBITDA Margin increased in two of the last eight quarters, with an average year-over-year change of -1.69 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q3 2024, with a gain of 7.22 percentage points; the weakest was fiscal Q2 2025, with a drop of 6.04 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 30.98% (Q4 2026), 25.13% (Q3 2026) and 29.91% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 20.09% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 27.67% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 32.67% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 11.71% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 21.79% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 6.95% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 24.02% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 25.28% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 29.40% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 29.40% |
| Apr 30, 2026 | 30.98% |
| Jan 31, 2026 | 25.13% |
| Oct 31, 2025 | 29.91% |
| Jul 31, 2025 | 31.23% |
| Apr 30, 2025 | 30.63% |
| Jan 31, 2025 | 26.79% |
| Oct 31, 2024 | 28.52% |
| Jul 31, 2024 | 32.85% |
| Apr 30, 2024 | 31.08% |
| Jan 31, 2024 | 30.42% |
| Oct 31, 2023 | 34.56% |
| Jul 31, 2023 | 27.58% |
| Apr 30, 2023 | 27.06% |
| Jan 31, 2023 | 23.20% |
| Oct 31, 2022 | 28.91% |
| Jul 31, 2022 | 30.21% |
| Apr 30, 2022 | 30.39% |
| Jan 31, 2022 | 24.73% |
| Oct 31, 2021 | 29.18% |
George Risk Industries EBITDA 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=ebitda-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();