George Risk Industries (RSKIA) Market Capitalization (2015 - 2026)
George Risk Industries (RSKIA) posted Market Capitalization of $103.15 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 35.2% from $76.32 million a year earlier and up 13.5% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Market Capitalization (2015 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), George Risk Industries' Market Capitalization came in at $90.91 million, up 23.7% from FY2025.
- Annual Market Capitalization has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Market Capitalization was $73.48 million in FY2025 (+19.6%), $61.42 million in FY2024 (+14.3%), $53.75 million in FY2023 (-9.4%) and $59.3 million in FY2022 (-4.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly Market Capitalization in data going back to fiscal Q4 2015.
- On a year-over-year basis, Market Capitalization has increased in each of the last 12 quarters, with growth averaging 23.2% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q3 2025, with growth of 47.5%; the weakest was fiscal Q3 2023, with a decline of 22.7%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $90.91 million (Q4 2026), $86.05 million (Q3 2026) and $83.25 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 103.15 Mn |
| Apr 30, 2026 | 90.91 Mn |
| Jan 31, 2026 | 86.05 Mn |
| Oct 31, 2025 | 83.25 Mn |
| Jul 31, 2025 | 76.32 Mn |
| Apr 30, 2025 | 73.48 Mn |
| Jan 31, 2025 | 84.20 Mn |
| Oct 31, 2024 | 73.94 Mn |
| Jul 31, 2024 | 63.02 Mn |
| Apr 30, 2024 | 61.42 Mn |
| Jan 31, 2024 | 57.08 Mn |
| Oct 31, 2023 | 59.87 Mn |
| Jul 31, 2023 | 54.61 Mn |
| Apr 30, 2023 | 53.75 Mn |
| Jan 31, 2023 | 54.24 Mn |
| Oct 31, 2022 | 56.90 Mn |
| Jul 31, 2022 | 55.13 Mn |
| Apr 30, 2022 | 59.30 Mn |
| Jan 31, 2022 | 70.20 Mn |
| Oct 31, 2021 | 65.82 Mn |
API Access
George Risk Industries Market Capitalization 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=market-capitalization&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();