George Risk Industries (RSKIA) Tax Provisions (2015 - 2026)
George Risk Industries' Tax Provisions was $1.17 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 25.3% from $931,000 a year earlier and up 30.5% from the prior quarter.
Powered by 
Analysis
George Risk Industries (RSKIA) Tax Provisions (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, George Risk Industries' Tax Provisions was $3.35 million through Jul 31, 2026, up 70.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $3.11 million, up 57.2% from FY2025.
- Tax Provisions shows a five-year compound annual growth rate of -3.0% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $1.98 million in FY2025 (-28.4%), $2.77 million in FY2024 (+161.3%), $1.06 million in FY2023 (+36.5%) and $775,000 in FY2022 (-78.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Tax Provisions since fiscal Q3 2024.
- Compared with a year earlier, Tax Provisions was higher in two of the last five quarters, with growth averaging 3.6%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q4 2024 (growth of 502.8%); the worst was fiscal Q3 2025 (a decline of 59.3%).
- Per Business Quant data, RSKIA's Tax Provisions in the three fiscal quarters before Q1 2027 was $894,000 (Q4 2026), $535,000 (Q3 2026) and $752,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 761.94 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 137.44 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 14.80 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 39.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 45.84 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 37.90 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 84.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 79.13 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.17 Mn |
| Apr 30, 2026 | 894,000.00 |
| Jan 31, 2026 | 535,000.00 |
| Oct 31, 2025 | 752,000.00 |
| Jul 31, 2025 | 931,000.00 |
| Apr 30, 2025 | -55,000.00 |
| Jan 31, 2025 | 654,000.00 |
| Oct 31, 2024 | 438,000.00 |
| Jul 31, 2024 | 944,000.00 |
| Apr 30, 2024 | 651,000.00 |
| Jan 31, 2024 | 1.61 Mn |
| Oct 31, 2023 | -80,000.00 |
| Jul 31, 2023 | 586,000.00 |
| Apr 30, 2023 | 108,000.00 |
| Jan 31, 2023 | 667,000.00 |
| Oct 31, 2022 | -29,000.00 |
| Jul 31, 2022 | 313,000.00 |
| Apr 30, 2022 | -323,000.00 |
| Jan 31, 2022 | -102,000.00 |
| Oct 31, 2021 | 599,000.00 |
API Access
George Risk Industries Tax Provisions 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=tax-provisions&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();