George Risk Industries (RSKIA) EPS (Diluted) (2015 - 2026)
George Risk Industries (RSKIA) reported EPS (Diluted) of $0.45 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 42.2% from $0.77 a year earlier and down 20.9% from the prior quarter.
George Risk Industries (RSKIA) EPS (Diluted) (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, George Risk Industries' EPS (Diluted) came in at $1.99, up 19.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $2.32, up 59.8% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $1.45 in FY2025 (-5.3%), $1.53 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 (Diluted) since fiscal Q4 2025.
- Year over year, EPS (Diluted) gained in four of the last seven quarters, with growth averaging 42.5%.
- The high point for year-over-year EPS (Diluted) 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 $0.56 (Q4 2026), $0.51 (Q3 2026) and $0.48 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 3.22 |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.36 |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 0.41 |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 0.33 |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 0.24 |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 0.53 |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 0.36 |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 3.35 |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | 0.45 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.45 |
| Apr 30, 2026 | 0.56 |
| Jan 31, 2026 | 0.51 |
| Oct 31, 2025 | 0.48 |
| Jul 31, 2025 | 0.77 |
| 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 |
George Risk Industries EPS (Diluted) 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-diluted&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();