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 | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | George Risk Industries | 102.66 Mn | -85.62 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();