George Risk Industries (RSKIA) EV to EBITDA (2016 - 2026)
George Risk Industries' (RSKIA) EV to EBITDA came in at 7.06 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 59.1% from 4.44 a year earlier and up 18.9% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) EV to EBITDA (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EV to EBITDA at George Risk Industries was -11.37; for FY2026 (ended Apr 30, 2026), it came in at 5.94, up 27.6% from FY2025.
- In prior fiscal years, George Risk Industries' EV to EBITDA was 4.65 in FY2025 (+59.0%), 2.93 in FY2024 (-7.7%), 3.17 in FY2023 (-13.4%) and 3.66 in FY2022 (-2.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly EV to EBITDA in data going back to fiscal Q4 2016.
- On a year-over-year basis, EV to EBITDA increased in seven of the last eight quarters, with growth averaging 45.9%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q3 2025, with growth of 121.1%; the weakest was fiscal Q3 2023, with a decline of 41.1%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 5.94 (Q4 2026), 5.70 (Q3 2026) and 5.54 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.06 |
| Apr 30, 2026 | 5.94 |
| Jan 31, 2026 | 5.70 |
| Oct 31, 2025 | 5.54 |
| Jul 31, 2025 | 4.44 |
| Apr 30, 2025 | 4.65 |
| Jan 31, 2025 | 6.33 |
| Oct 31, 2024 | 4.67 |
| Jul 31, 2024 | 2.33 |
| Apr 30, 2024 | 2.93 |
| Jan 31, 2024 | 2.86 |
| Oct 31, 2023 | 4.61 |
| Jul 31, 2023 | 3.07 |
| Apr 30, 2023 | 3.17 |
| Jan 31, 2023 | 2.98 |
| Oct 31, 2022 | 3.71 |
| Jul 31, 2022 | 2.77 |
| Apr 30, 2022 | 3.66 |
| Jan 31, 2022 | 5.06 |
| Oct 31, 2021 | 4.12 |
API Access
George Risk Industries EV to EBITDA 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=ev-to-ebitda&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();