George Risk Industries (RSKIA) Prepaid Assets (2015 - 2026)
George Risk Industries' Prepaid Assets was $978,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 73.7% from $563,000 a year earlier but down 28.8% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Prepaid Assets (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Prepaid Assets at George Risk Industries came in at $1.37 million, up 167.3% from FY2025.
- Prepaid Assets shows a five-year compound annual growth rate of 27.7% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $514,000 in FY2025 (+63.2%), $315,000 in FY2024 (-51.6%), $651,000 in FY2023 (-52.2%) and $1.36 million in FY2022 (+236.3%).
- Quarterly Prepaid Assets has moved between $126,000 (fiscal Q2 2024) and $1.4 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Prepaid Assets was higher in seven of the last eight quarters, with growth averaging 78.4%.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q3 2022 (growth of 771.9%); the worst was fiscal Q2 2024 (a decline of 78.6%).
- Per Business Quant data, RSKIA's Prepaid Assets in the three fiscal quarters before Q1 2027 was $1.37 million (Q4 2026), $340,000 (Q3 2026) and $495,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 978,000.00 |
| Apr 30, 2026 | 1.37 Mn |
| Jan 31, 2026 | 340,000.00 |
| Oct 31, 2025 | 495,000.00 |
| Jul 31, 2025 | 563,000.00 |
| Apr 30, 2025 | 514,000.00 |
| Jan 31, 2025 | 424,000.00 |
| Oct 31, 2024 | 339,000.00 |
| Jul 31, 2024 | 419,000.00 |
| Apr 30, 2024 | 315,000.00 |
| Jan 31, 2024 | 219,000.00 |
| Oct 31, 2023 | 126,000.00 |
| Jul 31, 2023 | 1.21 Mn |
| Apr 30, 2023 | 651,000.00 |
| Jan 31, 2023 | 930,000.00 |
| Oct 31, 2022 | 590,000.00 |
| Jul 31, 2022 | 1.09 Mn |
| Apr 30, 2022 | 1.36 Mn |
| Jan 31, 2022 | 1.40 Mn |
| Oct 31, 2021 | 561,000.00 |
API Access
George Risk Industries Prepaid 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=prepaid-assets&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();