George Risk Industries (RSKIA) Property, Plant & Equipment (Net) (2015 - 2026)
George Risk Industries' Property, Plant & Equipment (Net) came in at $2.08 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 2.3% from $2.13 million a year earlier and down 3.3% from the prior quarter.
George Risk Industries (RSKIA) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Property, Plant & Equipment (Net) was $2.15 million, up 6.1% from FY2025.
- Property, Plant & Equipment (Net) has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $2.03 million in FY2025 (+1.4%), $2 million in FY2024 (+0.3%), $2 million in FY2023 (+12.1%) and $1.78 million in FY2022 (+4.6%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $1.59 million (fiscal Q2 2022) to $2.15 million (fiscal Q4 2026).
- Year-over-year, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q1 2024 (growth of 18.7%), and the weakest in fiscal Q2 2022 (a decline of 6.2%).
- Business Quant data shows RSKIA's Property, Plant & Equipment (Net) at $2.15 million (Q4 2026), $1.98 million (Q3 2026) and $2.05 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 1.72 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 10.67 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 111.03 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 451.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 791.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 1.74 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 443.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 194.72 Mn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | 2.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.08 Mn |
| Apr 30, 2026 | 2.15 Mn |
| Jan 31, 2026 | 1.98 Mn |
| Oct 31, 2025 | 2.05 Mn |
| Jul 31, 2025 | 2.13 Mn |
| Apr 30, 2025 | 2.03 Mn |
| Jan 31, 2025 | 2.09 Mn |
| Oct 31, 2024 | 2.13 Mn |
| Jul 31, 2024 | 2.01 Mn |
| Apr 30, 2024 | 2.00 Mn |
| Jan 31, 2024 | 1.99 Mn |
| Oct 31, 2023 | 2.06 Mn |
| Jul 31, 2023 | 2.11 Mn |
| Apr 30, 2023 | 2.00 Mn |
| Jan 31, 2023 | 1.76 Mn |
| Oct 31, 2022 | 1.83 Mn |
| Jul 31, 2022 | 1.78 Mn |
| Apr 30, 2022 | 1.78 Mn |
| Jan 31, 2022 | 1.64 Mn |
| Oct 31, 2021 | 1.59 Mn |
George Risk Industries Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();