George Risk Industries (RSKIA) EBITDA (2015 - 2026)
George Risk Industries (RSKIA) recorded EBITDA of $2.01 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 9.3% from $1.84 million a year earlier but down 6.6% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) EBITDA (2015 - 2026) Analysis & Trends
On a TTM basis, George Risk Industries' EBITDA came in at $7.49 million as of Jul 31, 2026, up 12.3% year-over-year; for FY2026 (ended Apr 30, 2026), it was $7.32 million, up 8.8% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $6.73 million in FY2025 (-0.8%), $6.78 million in FY2024 (+23.1%), $5.51 million in FY2023 (-9.5%) and $6.08 million in FY2022 (+6.6%).
- Quarterly EBITDA has ranged from $1.01 million in fiscal Q3 2023 to $2.16 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 62.0% in fiscal Q3 2024, against a decline of 23.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.16 million (Q4 2026), $1.42 million (Q3 2026) and $1.89 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 2.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.01 Mn |
| Apr 30, 2026 | 2.16 Mn |
| Jan 31, 2026 | 1.42 Mn |
| Oct 31, 2025 | 1.89 Mn |
| Jul 31, 2025 | 1.84 Mn |
| Apr 30, 2025 | 1.91 Mn |
| Jan 31, 2025 | 1.32 Mn |
| Oct 31, 2024 | 1.60 Mn |
| Jul 31, 2024 | 1.90 Mn |
| Apr 30, 2024 | 1.74 Mn |
| Jan 31, 2024 | 1.64 Mn |
| Oct 31, 2023 | 2.09 Mn |
| Jul 31, 2023 | 1.30 Mn |
| Apr 30, 2023 | 1.30 Mn |
| Jan 31, 2023 | 1.01 Mn |
| Oct 31, 2022 | 1.62 Mn |
| Jul 31, 2022 | 1.57 Mn |
| Apr 30, 2022 | 1.67 Mn |
| Jan 31, 2022 | 1.25 Mn |
| Oct 31, 2021 | 1.53 Mn |
API Access
George Risk Industries EBITDA 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=ebitda&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();