George Risk Industries (RSKIA) Gross Profit (2015 - 2026)
George Risk Industries' Gross Profit came in at $3.23 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 6.7% from $3.02 million a year earlier but down 4.8% from the prior quarter.
George Risk Industries (RSKIA) Gross Profit (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, George Risk Industries reported Gross Profit of $12.15 million, up 10.6% year-over-year; for FY2026 (ended Apr 30, 2026), it was $11.95 million, up 9.5% from FY2025.
- Gross Profit has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- Going back by fiscal year, Gross Profit was $10.91 million in FY2025 (+0.6%), $10.84 million in FY2024 (+15.6%), $9.37 million in FY2023 (-6.4%) and $10.02 million in FY2022 (+7.4%).
- The five-year range for quarterly Gross Profit is $1.92 million (fiscal Q3 2023) to $3.39 million (fiscal Q4 2026).
- Year-over-year, Gross Profit has increased for six consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The fastest year-over-year change in Gross Profit over five years came in fiscal Q3 2024 (growth of 38.4%), and the weakest in fiscal Q4 2023 (a decline of 15.5%).
- Business Quant data shows RSKIA's Gross Profit at $3.39 million (Q4 2026), $2.57 million (Q3 2026) and $2.97 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.23 Mn |
| Apr 30, 2026 | 3.39 Mn |
| Jan 31, 2026 | 2.57 Mn |
| Oct 31, 2025 | 2.97 Mn |
| Jul 31, 2025 | 3.02 Mn |
| Apr 30, 2025 | 2.95 Mn |
| Jan 31, 2025 | 2.30 Mn |
| Oct 31, 2024 | 2.71 Mn |
| Jul 31, 2024 | 2.95 Mn |
| Apr 30, 2024 | 2.81 Mn |
| Jan 31, 2024 | 2.66 Mn |
| Oct 31, 2023 | 3.10 Mn |
| Jul 31, 2023 | 2.27 Mn |
| Apr 30, 2023 | 2.26 Mn |
| Jan 31, 2023 | 1.92 Mn |
| Oct 31, 2022 | 2.64 Mn |
| Jul 31, 2022 | 2.55 Mn |
| Apr 30, 2022 | 2.67 Mn |
| Jan 31, 2022 | 2.19 Mn |
| Oct 31, 2021 | 2.52 Mn |
George Risk Industries Gross Profit 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=gross-profit&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();