George Risk Industries (RSKIA) Return on Equity [ROE] (2016 - 2026)
George Risk Industries' Return on Equity [ROE] came in at 15.21% for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 1.22 percentage points from 13.99% a year earlier but down 3.16 percentage points from the prior quarter.
George Risk Industries (RSKIA) Return on Equity [ROE] (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), George Risk Industries' Return on Equity [ROE] was 18.95%, up 6.15 percentage points from FY2025.
- Return on Equity [ROE] carries a five-year change of -5.65 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Equity [ROE] was 12.79% in FY2025 (-1.56 pp), 14.36% in FY2024 (+4.81 pp), 9.54% in FY2023 (+2.22 pp) and 7.32% in FY2022 (-17.28 pp).
- The five-year range for quarterly Return on Equity [ROE] is 3.68% (fiscal Q2 2023) to 21.93% (fiscal Q2 2022).
- Year-over-year, Return on Equity [ROE] has increased for three consecutive quarters, with an average year-over-year change of +1.42 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in fiscal Q2 2022 (a gain of 13.45 percentage points), and the weakest in fiscal Q2 2023 (a drop of 18.25 percentage points).
- Business Quant data shows RSKIA's Return on Equity [ROE] at 18.36% (Q4 2026), 15.51% (Q3 2026) and 14.04% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 24.31% |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 40.29% |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | - |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 9.88% |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 37.83% |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 11.50% |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 35.72% |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | 15.21% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.21% |
| Apr 30, 2026 | 18.36% |
| Jan 31, 2026 | 15.51% |
| Oct 31, 2025 | 14.04% |
| Jul 31, 2025 | 13.99% |
| Apr 30, 2025 | 12.60% |
| Jan 31, 2025 | 15.34% |
| Oct 31, 2024 | 18.09% |
| Jul 31, 2024 | 14.07% |
| Apr 30, 2024 | 14.08% |
| Jan 31, 2024 | 13.01% |
| Oct 31, 2023 | 10.57% |
| Jul 31, 2023 | 11.73% |
| Apr 30, 2023 | 9.49% |
| Jan 31, 2023 | 7.50% |
| Oct 31, 2022 | 3.68% |
| Jul 31, 2022 | 5.80% |
| Apr 30, 2022 | 7.25% |
| Jan 31, 2022 | 13.41% |
| Oct 31, 2021 | 21.93% |
George Risk Industries Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();