George Risk Industries (RSKIA) Short-term Investments (2015 - 2026)
George Risk Industries (RSKIA) recorded Short-term Investments of $43.45 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 13.0% from $38.47 million a year earlier and up 2.6% from the prior quarter.
George Risk Industries (RSKIA) Short-term Investments (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries reported Short-term Investments of $42.34 million, up 18.5% from FY2025.
- Annual Short-term Investments has increased for four straight fiscal years, with a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- Across earlier fiscal years, Short-term Investments came in at $35.74 million in FY2025 (+3.6%), $34.49 million in FY2024 (+10.0%), $31.36 million in FY2023 (+1.2%) and $30.98 million in FY2022 (-7.1%).
- The fiscal Q1 2027 figure is the highest quarterly Short-term Investments in data going back to fiscal Q4 2015.
- On a year-over-year basis, Short-term Investments has increased for 14 consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- Peak year-over-year performance for Short-term Investments in the last five years was growth of 24.4% in fiscal Q2 2022, against a decline of 14.0% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $42.34 million (Q4 2026), $41.32 million (Q3 2026) and $39.87 million (Q2 2026).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 43.45 Mn |
| Apr 30, 2026 | 42.34 Mn |
| Jan 31, 2026 | 41.32 Mn |
| Oct 31, 2025 | 39.87 Mn |
| Jul 31, 2025 | 38.47 Mn |
| Apr 30, 2025 | 35.74 Mn |
| Jan 31, 2025 | 37.15 Mn |
| Oct 31, 2024 | 36.36 Mn |
| Jul 31, 2024 | 36.50 Mn |
| Apr 30, 2024 | 34.49 Mn |
| Jan 31, 2024 | 33.59 Mn |
| Oct 31, 2023 | 29.99 Mn |
| Jul 31, 2023 | 32.99 Mn |
| Apr 30, 2023 | 31.36 Mn |
| Jan 31, 2023 | 31.47 Mn |
| Oct 31, 2022 | 29.61 Mn |
| Jul 31, 2022 | 30.83 Mn |
| Apr 30, 2022 | 30.98 Mn |
| Jan 31, 2022 | 33.15 Mn |
| Oct 31, 2021 | 34.41 Mn |
George Risk Industries Short-term Investments 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=short-term-investments&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();