George Risk Industries (RSKIA) Payables (2015 - 2026)
George Risk Industries' Payables came in at $3.86 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 2.6% from $3.76 million a year earlier but down 6.1% from the prior quarter.
George Risk Industries (RSKIA) Payables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Payables was $4.11 million, up 14.1% from FY2025.
- Payables has increased in each of the last 11 fiscal years, with a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Going back by fiscal year, Payables was $3.6 million in FY2025 (+14.6%), $3.14 million in FY2024 (+1.1%), $3.11 million in FY2023 (+18.9%) and $2.62 million in FY2022 (+2.3%).
- The five-year range for quarterly Payables is $2.59 million (fiscal Q2 2022) to $4.11 million (fiscal Q4 2026).
- Year-over-year, Payables has increased for 38 consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- The year-over-year growth in Payables has ranged between 0.7% (fiscal Q3 2022) and 20.8% (fiscal Q1 2026) over the last five years.
- Business Quant data shows RSKIA's Payables at $4.11 million (Q4 2026), $4.03 million (Q3 2026) and $4.02 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 461.16 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 857.18 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 554.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 295.68 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.14 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 179.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 907.10 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -3.42 Bn |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 3.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.86 Mn |
| Apr 30, 2026 | 4.11 Mn |
| Jan 31, 2026 | 4.03 Mn |
| Oct 31, 2025 | 4.02 Mn |
| Jul 31, 2025 | 3.76 Mn |
| Apr 30, 2025 | 3.60 Mn |
| Jan 31, 2025 | 3.65 Mn |
| Oct 31, 2024 | 3.56 Mn |
| Jul 31, 2024 | 3.11 Mn |
| Apr 30, 2024 | 3.14 Mn |
| Jan 31, 2024 | 3.24 Mn |
| Oct 31, 2023 | 3.08 Mn |
| Jul 31, 2023 | 3.06 Mn |
| Apr 30, 2023 | 3.11 Mn |
| Jan 31, 2023 | 2.97 Mn |
| Oct 31, 2022 | 2.81 Mn |
| Jul 31, 2022 | 2.60 Mn |
| Apr 30, 2022 | 2.62 Mn |
| Jan 31, 2022 | 2.60 Mn |
| Oct 31, 2021 | 2.59 Mn |
George Risk Industries Payables 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=payables&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();