George Risk Industries (RSKIA) Accumulated Expenses (2019 - 2026)
George Risk Industries (RSKIA) posted Accumulated Expenses of $487,000 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 12.7% from $558,000 a year earlier and down 14.3% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Accumulated Expenses came in at $568,000, up 8.6% from FY2025.
- Annual Accumulated Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Accumulated Expenses was $523,000 in FY2025 (+8.3%), $483,000 in FY2024 (+14.7%), $421,000 in FY2023 (+18.9%) and $354,000 in FY2022 (-1.4%).
- Quarterly Accumulated Expenses has run from a low of $354,000 in fiscal Q4 2022 to a high of $582,000 in fiscal Q1 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in four of the last seven quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2026, with growth of 19.5%; the weakest was fiscal Q3 2025, with a decline of 21.6%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $568,000 (Q4 2026), $487,000 (Q3 2026) and $552,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 487,000.00 |
| Apr 30, 2026 | 568,000.00 |
| Jan 31, 2026 | 487,000.00 |
| Oct 31, 2025 | 552,000.00 |
| Jul 31, 2025 | 558,000.00 |
| Apr 30, 2025 | 523,000.00 |
| Jan 31, 2025 | 429,000.00 |
| Oct 31, 2024 | 462,000.00 |
| Jul 31, 2024 | 582,000.00 |
| Apr 30, 2024 | 483,000.00 |
| Jan 31, 2024 | 547,000.00 |
| Apr 30, 2023 | 421,000.00 |
| Jan 31, 2023 | 521,000.00 |
| Apr 30, 2022 | 354,000.00 |
| Jan 31, 2022 | 489,000.00 |
| Apr 30, 2021 | 359,000.00 |
| Jan 31, 2021 | 504,000.00 |
| Apr 30, 2020 | 450,000.00 |
| Jan 31, 2020 | 357,000.00 |
| Apr 30, 2019 | 356,000.00 |
API Access
George Risk Industries Accumulated 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=accumulated-expenses&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();