George Risk Industries (RSKIA) Total Liabilities (2015 - 2026)
George Risk Industries (RSKIA) recorded Total Liabilities of $8.8 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.2% from $7.57 million a year earlier and up 9.7% from the prior quarter.
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Analysis
George Risk Industries (RSKIA) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries reported Total Liabilities of $8.02 million, up 23.8% from FY2025.
- Annual Total Liabilities has increased for four straight fiscal years, with a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $6.48 million in FY2025 (+5.5%), $6.14 million in FY2024 (+15.9%), $5.3 million in FY2023 (+6.3%) and $4.99 million in FY2022 (-13.0%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2015.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 67.6% in fiscal Q2 2025, against a decline of 24.1% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.02 million (Q4 2026), $7.69 million (Q3 2026) and $7.94 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 40.87 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 23.71 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 1.97 Bn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 6.79 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 1.95 Bn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 7.19 Bn |
| 10 | George Risk Industries | 99.58 Mn | -88.70 Mn | 3.23 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.80 Mn |
| Apr 30, 2026 | 8.02 Mn |
| Jan 31, 2026 | 7.69 Mn |
| Oct 31, 2025 | 7.94 Mn |
| Jul 31, 2025 | 7.57 Mn |
| Apr 30, 2025 | 6.48 Mn |
| Jan 31, 2025 | 7.39 Mn |
| Oct 31, 2024 | 7.98 Mn |
| Jul 31, 2024 | 7.24 Mn |
| Apr 30, 2024 | 6.14 Mn |
| Jan 31, 2024 | 6.36 Mn |
| Oct 31, 2023 | 4.76 Mn |
| Jul 31, 2023 | 5.52 Mn |
| Apr 30, 2023 | 5.30 Mn |
| Jan 31, 2023 | 5.33 Mn |
| Oct 31, 2022 | 4.66 Mn |
| Jul 31, 2022 | 5.57 Mn |
| Apr 30, 2022 | 4.99 Mn |
| Jan 31, 2022 | 5.71 Mn |
| Oct 31, 2021 | 6.14 Mn |
API Access
George Risk Industries Total Liabilities 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=total-liabilities&ticker=RSKIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();