George Risk Industries (RSKIA) Assets (2015 - 2026)
George Risk Industries (RSKIA) posted Assets of $74.18 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 8.7% from $68.21 million a year earlier and up 3.9% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Assets (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Assets came in at $71.37 million, up 12.7% from FY2025.
- Annual Assets has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Assets was $63.34 million in FY2025 (+4.2%), $60.78 million in FY2024 (+8.6%), $55.95 million in FY2023 (+3.6%) and $54.03 million in FY2022 (-0.2%).
- The fiscal Q1 2027 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2015.
- On a year-over-year basis, Assets has increased in each of the last 14 quarters, with growth averaging 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q2 2022, with growth of 20.1%; the weakest was fiscal Q2 2023, with a decline of 6.0%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $71.37 million (Q4 2026), $68.36 million (Q3 2026) and $66.18 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 68.81 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 10.53 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 21.96 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 9.95 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 3.35 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 13.97 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 3.12 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 7.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 22.00 Mn |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 74.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 74.18 Mn |
| Apr 30, 2026 | 71.37 Mn |
| Jan 31, 2026 | 68.36 Mn |
| Oct 31, 2025 | 66.18 Mn |
| Jul 31, 2025 | 68.21 Mn |
| Apr 30, 2025 | 63.34 Mn |
| Jan 31, 2025 | 63.72 Mn |
| Oct 31, 2024 | 62.79 Mn |
| Jul 31, 2024 | 64.76 Mn |
| Apr 30, 2024 | 60.78 Mn |
| Jan 31, 2024 | 59.07 Mn |
| Oct 31, 2023 | 54.25 Mn |
| Jul 31, 2023 | 58.50 Mn |
| Apr 30, 2023 | 55.95 Mn |
| Jan 31, 2023 | 54.92 Mn |
| Oct 31, 2022 | 52.11 Mn |
| Jul 31, 2022 | 55.52 Mn |
| Apr 30, 2022 | 54.03 Mn |
| Jan 31, 2022 | 55.10 Mn |
| Oct 31, 2021 | 55.44 Mn |
API Access
George Risk Industries Assets 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=assets&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();