George Risk Industries (RSKIA) Operating Income (2015 - 2026)
George Risk Industries (RSKIA) posted Operating Income of $1.91 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.4% from $1.81 million a year earlier but down 7.2% from the prior quarter.
George Risk Industries (RSKIA) Operating Income (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Income at George Risk Industries was $7.06 million, up 12.6% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $6.97 million, up 11.7% from FY2025.
- Annual Operating Income shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Operating Income was $6.24 million in FY2025 (-0.8%), $6.29 million in FY2024 (+24.3%), $5.06 million in FY2023 (-10.4%) and $5.65 million in FY2022 (+6.4%).
- Quarterly Operating Income has run from a low of $900,000 in fiscal Q3 2023 to a high of $2.05 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Operating Income has increased in each of the last six quarters, with growth averaging 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was fiscal Q3 2024, with growth of 68.7%; the weakest was fiscal Q2 2025, with a decline of 24.6%.
- According to Business Quant data, Operating Income for the three prior fiscal quarters was $2.05 million (Q4 2026), $1.32 million (Q3 2026) and $1.79 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 673.04 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 201.36 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 215.59 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 150.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 1.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.91 Mn |
| Apr 30, 2026 | 2.05 Mn |
| Jan 31, 2026 | 1.32 Mn |
| Oct 31, 2025 | 1.79 Mn |
| Jul 31, 2025 | 1.81 Mn |
| Apr 30, 2025 | 1.79 Mn |
| Jan 31, 2025 | 1.20 Mn |
| Oct 31, 2024 | 1.48 Mn |
| Jul 31, 2024 | 1.77 Mn |
| Apr 30, 2024 | 1.62 Mn |
| Jan 31, 2024 | 1.52 Mn |
| Oct 31, 2023 | 1.97 Mn |
| Jul 31, 2023 | 1.19 Mn |
| Apr 30, 2023 | 1.18 Mn |
| Jan 31, 2023 | 900,000.00 |
| Oct 31, 2022 | 1.51 Mn |
| Jul 31, 2022 | 1.47 Mn |
| Apr 30, 2022 | 1.55 Mn |
| Jan 31, 2022 | 1.14 Mn |
| Oct 31, 2021 | 1.42 Mn |
George Risk Industries Operating Income 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=operating-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();