George Risk Industries (RSKIA) Non-Current Assets (2015 - 2026)
George Risk Industries' Non-Current Assets was $2.85 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 6.4% from $3.04 million a year earlier and down 3.5% from the prior quarter.
George Risk Industries (RSKIA) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Non-Current Assets at George Risk Industries came in at $2.95 million, down 0.7% from FY2025.
- Non-Current Assets has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $2.97 million in FY2025 (-10.9%), $3.34 million in FY2024 (-6.9%), $3.59 million in FY2023 (+1.2%) and $3.54 million in FY2022 (-2.1%).
- Quarterly Non-Current Assets has moved between $2.81 million (fiscal Q3 2026) and $3.65 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Non-Current Assets has declined for 11 straight quarters, with an average decline of 6.8% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q2 2022 (growth of 4.3%); the worst was fiscal Q1 2025 (a decline of 15.2%).
- Per Business Quant data, RSKIA's Non-Current Assets in the three fiscal quarters before Q1 2027 was $2.95 million (Q4 2026), $2.81 million (Q3 2026) and $2.91 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 41.77 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 6.72 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.22 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 2.75 Bn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 6.88 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 1.91 Bn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 10.12 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 10.46 Bn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 3.95 Bn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | 2.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.85 Mn |
| Apr 30, 2026 | 2.95 Mn |
| Jan 31, 2026 | 2.81 Mn |
| Oct 31, 2025 | 2.91 Mn |
| Jul 31, 2025 | 3.04 Mn |
| Apr 30, 2025 | 2.97 Mn |
| Jan 31, 2025 | 3.06 Mn |
| Oct 31, 2024 | 3.13 Mn |
| Jul 31, 2024 | 3.05 Mn |
| Apr 30, 2024 | 3.34 Mn |
| Jan 31, 2024 | 3.39 Mn |
| Oct 31, 2023 | 3.51 Mn |
| Jul 31, 2023 | 3.60 Mn |
| Apr 30, 2023 | 3.59 Mn |
| Jan 31, 2023 | 3.41 Mn |
| Oct 31, 2022 | 3.51 Mn |
| Jul 31, 2022 | 3.46 Mn |
| Apr 30, 2022 | 3.54 Mn |
| Jan 31, 2022 | 3.59 Mn |
| Oct 31, 2021 | 3.65 Mn |
George Risk Industries Non-Current Assets 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=non-current-assets&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();