George Risk Industries (RSKIA) Receivables (2015 - 2026)
George Risk Industries' Receivables 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 (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Receivables at George Risk Industries came in at $5.03 million, up 7.1% from FY2025.
- Receivables 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 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 since fiscal Q4 2025.
- Compared with a year earlier, Receivables was higher in four of the last seven quarters, with growth averaging 12.8%.
- The best year-over-year quarter for Receivables 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 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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 1.26 Bn |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 4.68 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 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&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();