George Risk Industries (RSKIA) Profit After Tax (2015 - 2026)
George Risk Industries (RSKIA) posted Profit After Tax of $2.19 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 42.2% from $3.79 million a year earlier and down 21.0% from the prior quarter.
George Risk Industries (RSKIA) Profit After Tax (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Profit After Tax at George Risk Industries was $9.79 million, up 19.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $11.39 million, up 59.7% from FY2025.
- Annual Profit After Tax shows a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Profit After Tax was $7.13 million in FY2025 (-5.6%), $7.56 million in FY2024 (+58.9%), $4.76 million in FY2023 (+33.4%) and $3.57 million in FY2022 (-67.0%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Profit After Tax since fiscal Q4 2025.
- On a year-over-year basis, Profit After Tax increased in four of the last seven quarters, with growth averaging 42.3%.
- The strongest year-over-year quarter for Profit After Tax in the past five years was fiscal Q4 2026, with growth of 358.3%; the weakest was fiscal Q3 2022, with a decline of 96.4%.
- According to Business Quant data, Profit After Tax for the three prior fiscal quarters was $2.77 million (Q4 2026), $2.48 million (Q3 2026) and $2.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 2.39 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 510.99 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 106.10 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 99.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 97.83 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 143.91 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 254.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 275.50 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | 2.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.19 Mn |
| Apr 30, 2026 | 2.77 Mn |
| Jan 31, 2026 | 2.48 Mn |
| Oct 31, 2025 | 2.34 Mn |
| Jul 31, 2025 | 3.79 Mn |
| Apr 30, 2025 | 605,000.00 |
| Jan 31, 2025 | 1.61 Mn |
| Oct 31, 2024 | 2.22 Mn |
| Jul 31, 2024 | 2.71 Mn |
| Apr 30, 2024 | 2.00 Mn |
| Jan 31, 2024 | 3.24 Mn |
| Oct 31, 2023 | -55,000.00 |
| Jul 31, 2023 | 2.37 Mn |
| Apr 30, 2023 | 1.09 Mn |
| Jan 31, 2023 | 2.01 Mn |
| Oct 31, 2022 | 607,000.00 |
| Jul 31, 2022 | 1.05 Mn |
| Apr 30, 2022 | -29,000.00 |
| Jan 31, 2022 | 161,000.00 |
| Oct 31, 2021 | 1.69 Mn |
George Risk Industries Profit After Tax 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=profit-after-tax&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();