George Risk Industries (RSKIA) Cost of Revenue (2015 - 2026)
George Risk Industries (RSKIA) reported Cost of Revenue of $3.62 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 26.0% from $2.88 million a year earlier and up 1.4% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Cost of Revenue (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, George Risk Industries' Cost of Revenue came in at $13.65 million, up 17.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $12.9 million, up 11.0% from FY2025.
- Cost of Revenue has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $11.63 million in FY2025 (+6.4%), $10.93 million in FY2024 (+3.0%), $10.61 million in FY2023 (-1.1%) and $10.72 million in FY2022 (+16.8%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2016.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q1 2027 (growth of 26.0%); the low point was fiscal Q3 2023 (a decline of 14.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.57 million (Q4 2026), $3.09 million (Q3 2026) and $3.36 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | 3.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.62 Mn |
| Apr 30, 2026 | 3.57 Mn |
| Jan 31, 2026 | 3.09 Mn |
| Oct 31, 2025 | 3.36 Mn |
| Jul 31, 2025 | 2.88 Mn |
| Apr 30, 2025 | 3.28 Mn |
| Jan 31, 2025 | 2.61 Mn |
| Oct 31, 2024 | 2.90 Mn |
| Jul 31, 2024 | 2.84 Mn |
| Apr 30, 2024 | 2.78 Mn |
| Jan 31, 2024 | 2.73 Mn |
| Oct 31, 2023 | 2.95 Mn |
| Jul 31, 2023 | 2.46 Mn |
| Apr 30, 2023 | 2.53 Mn |
| Jan 31, 2023 | 2.44 Mn |
| Oct 31, 2022 | 2.97 Mn |
| Jul 31, 2022 | 2.66 Mn |
| Apr 30, 2022 | 2.81 Mn |
| Jan 31, 2022 | 2.86 Mn |
| Oct 31, 2021 | 2.73 Mn |
API Access
George Risk Industries Cost of Revenue 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=cost-of-revenue&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();