George Risk Industries (RSKIA) Non Operating Income (2015 - 2026)
George Risk Industries' Non Operating Income was $1.45 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 50.2% from $2.92 million a year earlier and down 10.0% from the prior quarter.
George Risk Industries (RSKIA) Non Operating Income (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, George Risk Industries' Non Operating Income was $6.07 million through Jul 31, 2026, up 55.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $7.54 million, up 162.1% from FY2025.
- Non Operating Income shows a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- In earlier fiscal years, Non Operating Income was $2.88 million in FY2025 (-28.7%), $4.03 million in FY2024 (+434.3%), $755,000 in FY2023 and -$1.31 million in FY2022.
- Quarterly Non Operating Income has moved between -$2.1 million (fiscal Q2 2024) and $3.33 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Non Operating Income was higher in three of the last five quarters, with growth averaging 1.7%.
- The best year-over-year quarter for Non Operating Income over five years was fiscal Q2 2022 (growth of 520.9%); the worst was fiscal Q3 2025 (a decline of 68.0%).
- Per Business Quant data, RSKIA's Non Operating Income in the three fiscal quarters before Q1 2027 was $1.61 million (Q4 2026), $1.7 million (Q3 2026) and $1.31 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | - |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | - |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | - |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | - |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | - |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | 1.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.45 Mn |
| Apr 30, 2026 | 1.61 Mn |
| Jan 31, 2026 | 1.70 Mn |
| Oct 31, 2025 | 1.31 Mn |
| Jul 31, 2025 | 2.92 Mn |
| Apr 30, 2025 | -1.24 Mn |
| Jan 31, 2025 | 1.07 Mn |
| Oct 31, 2024 | 1.17 Mn |
| Jul 31, 2024 | 1.88 Mn |
| Apr 30, 2024 | 1.04 Mn |
| Jan 31, 2024 | 3.33 Mn |
| Oct 31, 2023 | -2.10 Mn |
| Jul 31, 2023 | 1.77 Mn |
| Apr 30, 2023 | 16,000.00 |
| Jan 31, 2023 | 1.78 Mn |
| Oct 31, 2022 | -935,000.00 |
| Jul 31, 2022 | -102,000.00 |
| Apr 30, 2022 | -1.90 Mn |
| Jan 31, 2022 | -1.09 Mn |
| Oct 31, 2021 | 863,000.00 |
George Risk Industries Non 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=non-operating-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-operating-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();