George Risk Industries (RSKIA) Revenue (2015 - 2026)
George Risk Industries' Revenue came in at $6.85 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.1% from $5.9 million a year earlier but down 1.6% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Revenue (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, George Risk Industries reported Revenue of $25.81 million, up 13.9% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $24.85 million, up 10.3% from FY2025.
- Revenue has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $22.54 million in FY2025 (+3.5%), $21.77 million in FY2024 (+8.9%), $19.98 million in FY2023 (-3.6%) and $20.74 million in FY2022 (+12.1%).
- The five-year range for quarterly Revenue is $4.37 million (fiscal Q3 2023) to $6.96 million (fiscal Q4 2026).
- Year-over-year, Revenue has increased for six consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in fiscal Q3 2024 (growth of 23.5%), and the weakest in fiscal Q3 2023 (a decline of 13.6%).
- Business Quant data shows RSKIA's Revenue at $6.96 million (Q4 2026), $5.66 million (Q3 2026) and $6.33 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 6.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.85 Mn |
| Apr 30, 2026 | 6.96 Mn |
| Jan 31, 2026 | 5.66 Mn |
| Oct 31, 2025 | 6.33 Mn |
| Jul 31, 2025 | 5.90 Mn |
| Apr 30, 2025 | 6.23 Mn |
| Jan 31, 2025 | 4.91 Mn |
| Oct 31, 2024 | 5.61 Mn |
| Jul 31, 2024 | 5.78 Mn |
| Apr 30, 2024 | 5.59 Mn |
| Jan 31, 2024 | 5.39 Mn |
| Oct 31, 2023 | 6.05 Mn |
| Jul 31, 2023 | 4.73 Mn |
| Apr 30, 2023 | 4.79 Mn |
| Jan 31, 2023 | 4.37 Mn |
| Oct 31, 2022 | 5.62 Mn |
| Jul 31, 2022 | 5.21 Mn |
| Apr 30, 2022 | 5.48 Mn |
| Jan 31, 2022 | 5.05 Mn |
| Oct 31, 2021 | 5.24 Mn |
API Access
George Risk Industries Revenue 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=revenue&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();