George Risk Industries (RSKIA) EPS (Basic) (2015 - 2026)
George Risk Industries (RSKIA) reported EPS (Basic) of $0.45 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 42.2% from $0.78 a year earlier and down 20.9% from the prior quarter.
Powered by 
Analysis
George Risk Industries (RSKIA) EPS (Basic) (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, George Risk Industries' EPS (Basic) came in at $2.00, up 19.2% year-over-year; for FY2026 (ended Apr 30, 2026), it was $2.33, up 59.8% from FY2025.
- EPS (Basic) has a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- By fiscal year, EPS (Basic) came in at $1.46 in FY2025 (-5.3%), $1.54 in FY2024 (+59.4%), $0.96 in FY2023 (+33.7%) and $0.72 in FY2022 (-67.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly EPS (Basic) since fiscal Q4 2025.
- Year over year, EPS (Basic) gained in four of the last seven quarters, with growth averaging 42.5%.
- The high point for year-over-year EPS (Basic) in five years was fiscal Q4 2026 (growth of 358.8%); the low point was fiscal Q3 2022 (a decline of 96.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $0.57 (Q4 2026), $0.51 (Q3 2026) and $0.48 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.82 |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 1.27 |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 0.34 |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 0.21 |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 0.30 |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 0.37 |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.22 |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 4.14 |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 0.45 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.45 |
| Apr 30, 2026 | 0.57 |
| Jan 31, 2026 | 0.51 |
| Oct 31, 2025 | 0.48 |
| Jul 31, 2025 | 0.78 |
| Apr 30, 2025 | 0.12 |
| Jan 31, 2025 | 0.33 |
| Oct 31, 2024 | 0.45 |
| Jul 31, 2024 | 0.55 |
| Apr 30, 2024 | 0.41 |
| Jan 31, 2024 | 0.66 |
| Oct 31, 2023 | -0.01 |
| Jul 31, 2023 | 0.48 |
| Apr 30, 2023 | 0.22 |
| Jan 31, 2023 | 0.41 |
| Oct 31, 2022 | 0.12 |
| Jul 31, 2022 | 0.21 |
| Apr 30, 2022 | -0.01 |
| Jan 31, 2022 | 0.03 |
| Oct 31, 2021 | 0.34 |
API Access
George Risk Industries EPS (Basic) 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=eps-basic&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();