George Risk Industries (RSKIA) Depreciation and Depletion (2016 - 2019)
George Risk Industries' Depreciation and Depletion was $229,000 in FY2026 (year ended Apr 30, 2026), down 37.4% from $366,000 in FY2025.
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Analysis
George Risk Industries (RSKIA) Depreciation and Depletion (2016 - 2019) Analysis & Trends
From FY2015 onward, George Risk Industries has reported Depreciation and Depletion for 10 fiscal years.
- Depreciation and Depletion shows a four-year compound annual growth rate of -7.4% (FY2022 to FY2026).
- The FY2026 figure marks the lowest annual Depreciation and Depletion since FY2017.
- Per Business Quant data, Depreciation and Depletion in earlier fiscal years was $366,000 in FY2025 (unchanged), $366,000 in FY2024 (+13.3%), $323,000 in FY2023 (+3.5%) and $312,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 150.67 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 78.92 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 211.04 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | - |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 21.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | - |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 25.04 Mn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2019 | 106,000.00 |
| Jan 31, 2019 | 81,000.00 |
| Oct 31, 2018 | 84,000.00 |
| Jul 31, 2018 | 83,000.00 |
| Apr 30, 2018 | 94,000.00 |
| Jan 31, 2018 | 77,000.00 |
| Oct 31, 2017 | 45,000.00 |
| Jul 31, 2017 | 41,000.00 |
| Apr 30, 2017 | 49,000.00 |
| Oct 31, 2016 | 47,000.00 |
| Jul 31, 2016 | 44,000.00 |
API Access
George Risk Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();