George Risk Industries (RSKIA) Other Operating Expenses (2015 - 2026)
George Risk Industries' Other Operating Expenses was $922,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 11.6% from $826,000 a year earlier and up 1.0% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Other Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, George Risk Industries' Other Operating Expenses was $3.55 million through Jul 31, 2026, up 10.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $3.45 million, up 6.7% from FY2025.
- Other Operating Expenses has now increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $3.23 million in FY2025 (+5.6%), $3.06 million in FY2024 (+4.3%), $2.93 million in FY2023 (+11.6%) and $2.63 million in FY2022 (+14.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2016.
- Compared with a year earlier, Other Operating Expenses has increased for four straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2022 (growth of 18.6%); the worst was fiscal Q1 2024 (a decline of 5.8%).
- Per Business Quant data, RSKIA's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $913,000 (Q4 2026), $874,000 (Q3 2026) and $836,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 922,000.00 |
| Apr 30, 2026 | 913,000.00 |
| Jan 31, 2026 | 874,000.00 |
| Oct 31, 2025 | 836,000.00 |
| Jul 31, 2025 | 826,000.00 |
| Apr 30, 2025 | 824,000.00 |
| Jan 31, 2025 | 758,000.00 |
| Oct 31, 2024 | 814,000.00 |
| Jul 31, 2024 | 834,000.00 |
| Apr 30, 2024 | 801,000.00 |
| Jan 31, 2024 | 746,000.00 |
| Oct 31, 2023 | 803,000.00 |
| Jul 31, 2023 | 711,000.00 |
| Apr 30, 2023 | 722,000.00 |
| Jan 31, 2023 | 682,000.00 |
| Oct 31, 2022 | 773,000.00 |
| Jul 31, 2022 | 755,000.00 |
| Apr 30, 2022 | 765,000.00 |
| Jan 31, 2022 | 678,000.00 |
| Oct 31, 2021 | 741,000.00 |
API Access
George Risk Industries Other Operating Expenses 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=other-operating-expenses&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();