George Risk Industries (RSKIA) Net Income (2015 - 2026)
George Risk Industries (RSKIA) recorded Net Income of $2.19 million in 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.
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Analysis
George Risk Industries (RSKIA) Net Income (2015 - 2026) Analysis & Trends
On a TTM basis, George Risk Industries' Net Income came in at $9.79 million as of Jul 31, 2026, up 19.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $11.39 million, up 59.7% from FY2025.
- Annual Net Income has a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- Across earlier fiscal years, Net Income came in at $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 is the lowest quarterly Net Income since fiscal Q4 2025.
- On a year-over-year basis, Net Income rose in four of the last seven quarters, with growth averaging 42.3%.
- Peak year-over-year performance for Net Income in the last five years was growth of 358.3% in fiscal Q4 2026, against a decline of 96.4% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.77 million (Q4 2026), $2.48 million (Q3 2026) and $2.34 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 2.39 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 510.99 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 106.10 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 99.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 143.91 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 97.83 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 254.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 275.50 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 2.19 Mn |
Historic Data
Download Data
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 |
API Access
George Risk Industries Net 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=net-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();