George Risk Industries (RSKIA) Income After Tax (2015 - 2026)
George Risk Industries (RSKIA) posted Income 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) Income After Tax (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Income 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 Income After Tax shows a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Income 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 Income After Tax since fiscal Q4 2025.
- On a year-over-year basis, Income After Tax increased in four of the last seven quarters, with growth averaging 42.3%.
- The strongest year-over-year quarter for Income 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, Income 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) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 2.03 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 551.71 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 128.88 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 157.89 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 114.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 117.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 97.83 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 214.38 Mn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 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 Income 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_KEYimport 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();