George Risk Industries (RSKIA) Enterprise Value (2015 - 2026)
George Risk Industries (RSKIA) reported Enterprise Value of $52.86 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 78.7% from $29.59 million a year earlier and up 21.7% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Enterprise Value (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, George Risk Industries' Enterprise Value came in at -$85.14 million; for FY2026 (ended Apr 30, 2026), it was $43.42 million, up 38.8% from FY2025.
- Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.3% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $31.27 million in FY2025 (+57.8%), $19.82 million in FY2024 (+13.7%), $17.44 million in FY2023 (-21.6%) and $22.24 million in FY2022 (+4.5%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Enterprise Value in data going back to fiscal Q4 2015.
- Year over year, Enterprise Value gained in seven of the last eight quarters, with growth averaging 52.0%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2025 (growth of 128.9%); the low point was fiscal Q3 2023 (a decline of 42.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $43.42 million (Q4 2026), $40.26 million (Q3 2026) and $38.53 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 | 52.86 Mn |
| Apr 30, 2026 | 43.42 Mn |
| Jan 31, 2026 | 40.26 Mn |
| Oct 31, 2025 | 38.53 Mn |
| Jul 31, 2025 | 29.59 Mn |
| Apr 30, 2025 | 31.27 Mn |
| Jan 31, 2025 | 41.47 Mn |
| Oct 31, 2024 | 32.13 Mn |
| Jul 31, 2024 | 17.15 Mn |
| Apr 30, 2024 | 19.82 Mn |
| Jan 31, 2024 | 18.12 Mn |
| Oct 31, 2023 | 26.32 Mn |
| Jul 31, 2023 | 16.07 Mn |
| Apr 30, 2023 | 17.44 Mn |
| Jan 31, 2023 | 17.50 Mn |
| Oct 31, 2022 | 22.70 Mn |
| Jul 31, 2022 | 16.65 Mn |
| Apr 30, 2022 | 22.24 Mn |
| Jan 31, 2022 | 30.66 Mn |
| Oct 31, 2021 | 25.30 Mn |
API Access
George Risk Industries Enterprise Value 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=enterprise-value&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();