George Risk Industries (RSKIA) Price to Earnings (2016 - 2026)
George Risk Industries' (RSKIA) Price to Earnings was 10.54 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 13.5% from 9.29 a year earlier and up 32.0% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Price to Earnings at George Risk Industries was 7.98, down 22.5% from FY2025.
- By fiscal year, Price to Earnings came in at 10.30 in FY2025 (+26.8%), 8.13 in FY2024 (-28.1%), 11.30 in FY2023 (-32.1%) and 16.63 in FY2022 (+190.5%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Price to Earnings since fiscal Q2 2024.
- Year over year, Price to Earnings gained in five of the last eight quarters, with growth averaging 5.8%.
- The high point for year-over-year Price to Earnings in five years was fiscal Q2 2023 (growth of 426.6%); the low point was fiscal Q2 2024 (a decline of 65.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 7.98 (Q4 2026), 9.33 (Q3 2026) and 9.97 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.54 |
| Apr 30, 2026 | 7.98 |
| Jan 31, 2026 | 9.33 |
| Oct 31, 2025 | 9.97 |
| Jul 31, 2025 | 9.29 |
| Apr 30, 2025 | 10.30 |
| Jan 31, 2025 | 9.87 |
| Oct 31, 2024 | 7.28 |
| Jul 31, 2024 | 7.99 |
| Apr 30, 2024 | 8.13 |
| Jan 31, 2024 | 8.59 |
| Oct 31, 2023 | 11.05 |
| Jul 31, 2023 | 8.98 |
| Apr 30, 2023 | 11.30 |
| Jan 31, 2023 | 14.91 |
| Oct 31, 2022 | 31.79 |
| Jul 31, 2022 | 19.20 |
| Apr 30, 2022 | 16.63 |
| Jan 31, 2022 | 10.61 |
| Oct 31, 2021 | 6.04 |
API Access
George Risk Industries Price to Earnings 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=price-to-earnings&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();