George Risk Industries (RSKIA) Goodwill & Intangibles (2017 - 2026)
George Risk Industries (RSKIA) posted Goodwill & Intangibles of $756,000 for 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) Goodwill & Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Goodwill & Intangibles came in at $786,000, down 13.3% from FY2025.
- Annual Goodwill & Intangibles has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -10.8% (FY2021 to FY2026).
- In prior fiscal years, George Risk Industries' Goodwill & Intangibles was $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 stands as the lowest quarterly Goodwill & Intangibles in data going back to fiscal Q2 2018.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 32 quarters, with an average decline of 12.4% over the last eight quarters.
- The year-over-year decline in Goodwill & Intangibles has ranged between 8.5% (fiscal Q2 2022) and 13.8% (fiscal Q1 2027) over the last five years.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $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) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn |
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 Goodwill & 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=goodwill-and-intangibles&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();