George Risk Industries (RSKIA) Gains (Losses) on Sale of Assets & Investments (2016 - 2026)
George Risk Industries (RSKIA) reported Gains (Losses) on Sale of Assets & Investments of $802,000 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 66.3% from $2.38 million a year earlier and down 6.2% from the prior quarter.
George Risk Industries (RSKIA) Gains (Losses) on Sale of Assets & Investments (2016 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, George Risk Industries' Gains (Losses) on Sale of Assets & Investments came in at $2.94 million, up 206.3% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $4.52 million.
- Gains (Losses) on Sale of Assets & Investments has a five-year compound annual growth rate of -8.4% (FY2021 to FY2026).
- By fiscal year, Gains (Losses) on Sale of Assets & Investments came in at -$75,000 in FY2025, $2.77 million in FY2024, -$291,000 in FY2023 and -$2.76 million in FY2022.
- Five-year quarterly Gains (Losses) on Sale of Assets & Investments spans a low of -$2.37 million in fiscal Q2 2024 and a high of $2.88 million in fiscal Q3 2024.
- Year over year, Gains (Losses) on Sale of Assets & Investments gained in two of the last four quarters, with growth averaging 53.7%.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $855,000 (Q4 2026), $369,000 (Q3 2026) and $911,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gains on Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | - |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 8.29 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | - |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | - |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | - |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 1.39 Mn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | 802,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 802,000.00 |
| Apr 30, 2026 | 855,000.00 |
| Jan 31, 2026 | 369,000.00 |
| Oct 31, 2025 | 911,000.00 |
| Jul 31, 2025 | 2.38 Mn |
| Apr 30, 2025 | -1.58 Mn |
| Jan 31, 2025 | 92,000.00 |
| Oct 31, 2024 | 66,000.00 |
| Jul 31, 2024 | 1.35 Mn |
| Apr 30, 2024 | 622,000.00 |
| Jan 31, 2024 | 2.88 Mn |
| Oct 31, 2023 | -2.37 Mn |
| Jul 31, 2023 | 1.63 Mn |
| Apr 30, 2023 | -318,000.00 |
| Jan 31, 2023 | 1.22 Mn |
| Oct 31, 2022 | -1.01 Mn |
| Jul 31, 2022 | -189,000.00 |
| Apr 30, 2022 | -2.08 Mn |
| Jan 31, 2022 | -1.73 Mn |
| Oct 31, 2021 | 623,000.00 |
George Risk Industries Gains (Losses) on Sale of Assets & Investments 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-investment-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-investment-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-investment-income&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();