George Risk Industries (RSKIA) Receivables - Net (2015 - 2026)
George Risk Industries' Receivables - Net was $4.68 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 8.4% from $5.11 million a year earlier and down 6.8% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Receivables - Net (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Receivables - Net at George Risk Industries came in at $5.03 million, up 7.1% from FY2025.
- Receivables - Net has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- In earlier fiscal years, Receivables - Net was $4.69 million in FY2025 (+20.2%), $3.9 million in FY2024 (+11.4%), $3.5 million in FY2023 (-14.9%) and $4.11 million in FY2022 (+7.9%).
- The fiscal Q1 2027 figure marks the lowest quarterly Receivables - Net since fiscal Q4 2025.
- Compared with a year earlier, Receivables - Net was higher in four of the last seven quarters, with growth averaging 12.8%.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q1 2025 (growth of 36.0%); the worst was fiscal Q4 2023 (a decline of 29.0%).
- Per Business Quant data, RSKIA's Receivables - Net in the three fiscal quarters before Q1 2027 was $5.03 million (Q4 2026), $4.9 million (Q3 2026) and $4.78 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 | 4.68 Mn |
| Apr 30, 2026 | 5.03 Mn |
| Jan 31, 2026 | 4.90 Mn |
| Oct 31, 2025 | 4.78 Mn |
| Jul 31, 2025 | 5.11 Mn |
| Apr 30, 2025 | 21,842.00 |
| Jan 31, 2025 | 3.73 Mn |
| Oct 31, 2024 | 3.92 Mn |
| Jul 31, 2024 | 4.17 Mn |
| Apr 30, 2024 | 16,334.00 |
| Jan 31, 2024 | 4.06 Mn |
| Oct 31, 2023 | 4.06 Mn |
| Jul 31, 2023 | 3.07 Mn |
| Apr 30, 2023 | 17,171.00 |
| Jan 31, 2023 | 3.30 Mn |
| Oct 31, 2022 | 4.05 Mn |
| Jul 31, 2022 | 3.63 Mn |
| Apr 30, 2022 | 24,199.00 |
| Jan 31, 2022 | 3.71 Mn |
| Oct 31, 2021 | 3.62 Mn |
API Access
George Risk Industries Receivables - Net 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=receivables-net&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();