George Risk Industries (RSKIA) Intangibles (2017 - 2026)
George Risk Industries (RSKIA) recorded Intangibles of $756,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 13.8% from $877,000 a year earlier and down 3.8% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries reported Intangibles of $786,000, down 13.3% from FY2025.
- Annual Intangibles has declined for eight straight fiscal years, with a five-year compound annual growth rate of -10.8% (FY2021 to FY2026).
- Across earlier fiscal years, Intangibles came in at $907,000 in FY2025 (-11.8%), $1.03 million in FY2024 (-10.5%), $1.15 million in FY2023 (-9.6%) and $1.27 million in FY2022 (-8.8%).
- The fiscal Q1 2027 figure is the lowest quarterly Intangibles in data going back to fiscal Q2 2018.
- On a year-over-year basis, Intangibles has declined for 32 consecutive quarters, with an average decline of 12.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Intangibles ranged from 8.5% (fiscal Q2 2022) to 13.8% (fiscal Q1 2027).
- Per Business Quant, the preceding three fiscal quarters came in at $786,000 (Q4 2026), $816,000 (Q3 2026) and $847,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 2.91 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 282.94 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 1.21 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 589.83 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 1.94 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 39.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 1.92 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 274.94 Mn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | 756,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 756,000.00 |
| Apr 30, 2026 | 786,000.00 |
| Jan 31, 2026 | 816,000.00 |
| Oct 31, 2025 | 847,000.00 |
| Jul 31, 2025 | 877,000.00 |
| Apr 30, 2025 | 907,000.00 |
| Jan 31, 2025 | 937,000.00 |
| Oct 31, 2024 | 968,000.00 |
| Jul 31, 2024 | 998,000.00 |
| Apr 30, 2024 | 1.03 Mn |
| Jan 31, 2024 | 1.06 Mn |
| Oct 31, 2023 | 1.09 Mn |
| Jul 31, 2023 | 1.12 Mn |
| Apr 30, 2023 | 1.15 Mn |
| Jan 31, 2023 | 1.18 Mn |
| Oct 31, 2022 | 1.21 Mn |
| Jul 31, 2022 | 1.24 Mn |
| Apr 30, 2022 | 1.27 Mn |
| Jan 31, 2022 | 1.30 Mn |
| Oct 31, 2021 | 1.33 Mn |
API Access
George Risk Industries Intangibles 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=intangibles&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();