George Risk Industries (RSKIA) Cash & Equivalents (2015 - 2026)
George Risk Industries' Cash & Equivalents came in at $6.84 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 17.2% from $8.26 million a year earlier but up 32.7% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Cash & Equivalents was $5.16 million, down 20.3% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -6.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $6.47 million in FY2025 (-9.0%), $7.11 million in FY2024 (+43.9%), $4.94 million in FY2023 (-18.7%) and $6.08 million in FY2022 (-17.0%).
- The five-year range for quarterly Cash & Equivalents is $3.56 million (fiscal Q2 2024) to $9.37 million (fiscal Q1 2025).
- Year-over-year, Cash & Equivalents has declined for six consecutive quarters, with an average decline of 4.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2025 (growth of 68.7%), and the weakest in fiscal Q1 2024 (a decline of 27.4%).
- Business Quant data shows RSKIA's Cash & Equivalents at $5.16 million (Q4 2026), $4.46 million (Q3 2026) and $4.84 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | 6.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.84 Mn |
| Apr 30, 2026 | 5.16 Mn |
| Jan 31, 2026 | 4.46 Mn |
| Oct 31, 2025 | 4.84 Mn |
| Jul 31, 2025 | 8.26 Mn |
| Apr 30, 2025 | 6.47 Mn |
| Jan 31, 2025 | 5.58 Mn |
| Oct 31, 2024 | 5.45 Mn |
| Jul 31, 2024 | 9.37 Mn |
| Apr 30, 2024 | 7.11 Mn |
| Jan 31, 2024 | 5.37 Mn |
| Oct 31, 2023 | 3.56 Mn |
| Jul 31, 2023 | 5.55 Mn |
| Apr 30, 2023 | 4.94 Mn |
| Jan 31, 2023 | 5.27 Mn |
| Oct 31, 2022 | 4.59 Mn |
| Jul 31, 2022 | 7.65 Mn |
| Apr 30, 2022 | 6.08 Mn |
| Jan 31, 2022 | 6.39 Mn |
| Oct 31, 2021 | 6.11 Mn |
API Access
George Risk Industries Cash & Equivalents 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=cash-and-equivalents&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();