George Risk Industries (RSKIA) Income Taxes Paid (2015 - 2026)
George Risk Industries' Income Taxes Paid came in at -$49,000 for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $24,000 a year earlier.
George Risk Industries (RSKIA) Income Taxes Paid (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, George Risk Industries reported Income Taxes Paid of $1.51 million, up 60.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $1.58 million, up 72.2% from FY2025.
- Income Taxes Paid carries a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- Going back by fiscal year, Income Taxes Paid was $917,000 in FY2025 (-38.2%), $1.49 million in FY2024 (-28.3%), $2.07 million in FY2023 (+31.4%) and $1.58 million in FY2022 (+2.3%).
- The fiscal Q1 2027 figure represents the lowest quarterly Income Taxes Paid in data going back to fiscal Q2 2016.
- Year-over-year, Income Taxes Paid increased in three of the last six quarters, with growth averaging 104.9%.
- The fastest year-over-year change in Income Taxes Paid over five years came in fiscal Q3 2026 (growth of 410.5%), and the weakest in fiscal Q3 2025 (a decline of 76.8%).
- Business Quant data shows RSKIA's Income Taxes Paid at $149,000 (Q4 2026), $485,000 (Q3 2026) and $921,000 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 634.57 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 32.73 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | -28.30 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 24.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 28.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 23.67 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 | -49,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -49,000.00 |
| Apr 30, 2026 | 149,000.00 |
| Jan 31, 2026 | 485,000.00 |
| Oct 31, 2025 | 921,000.00 |
| Jul 31, 2025 | 24,000.00 |
| Apr 30, 2025 | 597,000.00 |
| Jan 31, 2025 | 95,000.00 |
| Oct 31, 2024 | 225,000.00 |
| Apr 30, 2024 | 255,000.00 |
| Jan 31, 2024 | 410,000.00 |
| Oct 31, 2023 | 820,000.00 |
| Apr 30, 2023 | 452,000.00 |
| Jan 31, 2023 | 453,000.00 |
| Oct 31, 2022 | 1.17 Mn |
| Apr 30, 2022 | 285,000.00 |
| Jan 31, 2022 | 430,000.00 |
| Oct 31, 2021 | 860,000.00 |
| Apr 30, 2021 | 565,000.00 |
| Jan 31, 2021 | 325,000.00 |
| Oct 31, 2020 | 650,000.00 |
George Risk Industries Income Taxes Paid 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=income-taxes-paid&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();