George Risk Industries (RSKIA) Other Accumulated Expenses (2015 - 2026)
George Risk Industries' Other Accumulated Expenses was $4,000 in fiscal Q1 2023 (quarter ended Jul 31, 2022), up 33.3% from $3,000 a year earlier.
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Analysis
George Risk Industries (RSKIA) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
From fiscal Q1 2017 onward, George Risk Industries has reported Other Accumulated Expenses for 4 quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19,000.00 |
| Apr 30, 2026 | 58,000.00 |
| Jan 31, 2026 | 50,000.00 |
| Oct 31, 2025 | 37,000.00 |
| Jul 31, 2025 | 24,000.00 |
| Apr 30, 2025 | 59,000.00 |
| Jan 31, 2025 | 39,000.00 |
| Oct 31, 2024 | 31,000.00 |
| Jul 31, 2024 | 19,000.00 |
| Apr 30, 2024 | 66,000.00 |
| Jan 31, 2024 | 38,000.00 |
| Oct 31, 2023 | 24,000.00 |
| Jul 31, 2023 | 19,000.00 |
| Apr 30, 2023 | 59,000.00 |
| Jan 31, 2023 | 45,000.00 |
| Oct 31, 2022 | 34,000.00 |
| Jul 31, 2022 | 4,000.00 |
| Apr 30, 2022 | 16,000.00 |
| Jan 31, 2022 | 16,000.00 |
| Oct 31, 2021 | 18,000.00 |
API Access
George Risk Industries Other 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=other-accumulated-expenses&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();