George Risk Industries (RSKIA) Inventory (2015 - 2026)
George Risk Industries' Inventory was $13.06 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 23.3% from $10.59 million a year earlier and up 10.4% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Inventory (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Inventory at George Risk Industries came in at $11.82 million, up 10.1% from FY2025.
- Inventory shows a five-year compound annual growth rate of 16.0% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $10.74 million in FY2025 (-7.1%), $11.56 million in FY2024 (+1.0%), $11.44 million in FY2023 (+44.1%) and $7.94 million in FY2022 (+41.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Inventory in data going back to fiscal Q4 2015.
- Compared with a year earlier, Inventory has increased for four straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q3 2023 (growth of 50.2%); the worst was fiscal Q2 2025 (a decline of 12.1%).
- Per Business Quant data, RSKIA's Inventory in the three fiscal quarters before Q1 2027 was $11.82 million (Q4 2026), $11.6 million (Q3 2026) and $11.09 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | - |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 446.44 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 172.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 42.81 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 433.62 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 | - | 314.00 Mn |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 13.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.06 Mn |
| Apr 30, 2026 | 11.82 Mn |
| Jan 31, 2026 | 11.60 Mn |
| Oct 31, 2025 | 11.09 Mn |
| Jul 31, 2025 | 10.59 Mn |
| Apr 30, 2025 | 10.74 Mn |
| Jan 31, 2025 | 11.37 Mn |
| Oct 31, 2024 | 11.08 Mn |
| Jul 31, 2024 | 11.24 Mn |
| Apr 30, 2024 | 11.56 Mn |
| Jan 31, 2024 | 12.09 Mn |
| Oct 31, 2023 | 12.61 Mn |
| Jul 31, 2023 | 11.96 Mn |
| Apr 30, 2023 | 11.44 Mn |
| Jan 31, 2023 | 10.30 Mn |
| Oct 31, 2022 | 9.64 Mn |
| Jul 31, 2022 | 8.84 Mn |
| Apr 30, 2022 | 7.94 Mn |
| Jan 31, 2022 | 6.86 Mn |
| Oct 31, 2021 | 7.08 Mn |
API Access
George Risk Industries Inventory 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=inventory&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();