George Risk Industries (RSKIA) Total Non-Current Liabilities (2015 - 2026)
George Risk Industries' Total Non-Current Liabilities came in at $3.9 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 41.1% from $2.77 million a year earlier and up 17.7% from the prior quarter.
George Risk Industries (RSKIA) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries' Total Non-Current Liabilities was $3.32 million, up 43.6% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $2.31 million in FY2025 (-3.3%), $2.39 million in FY2024 (+38.3%), $1.73 million in FY2023 (-0.9%) and $1.74 million in FY2022 (-36.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2015.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 28.5% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2022 (growth of 128.7%), and the weakest in fiscal Q2 2023 (a decline of 51.1%).
- Business Quant data shows RSKIA's Total Non-Current Liabilities at $3.32 million (Q4 2026), $3.14 million (Q3 2026) and $3.06 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | George Risk Industries | 107.01 Mn | -81.27 Mn | 3.23 Mn | 3.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.90 Mn |
| Apr 30, 2026 | 3.32 Mn |
| Jan 31, 2026 | 3.14 Mn |
| Oct 31, 2025 | 3.06 Mn |
| Jul 31, 2025 | 2.77 Mn |
| Apr 30, 2025 | 2.31 Mn |
| Jan 31, 2025 | 2.69 Mn |
| Oct 31, 2024 | 2.66 Mn |
| Jul 31, 2024 | 2.70 Mn |
| Apr 30, 2024 | 2.39 Mn |
| Jan 31, 2024 | 2.54 Mn |
| Oct 31, 2023 | 1.29 Mn |
| Jul 31, 2023 | 2.00 Mn |
| Apr 30, 2023 | 1.73 Mn |
| Jan 31, 2023 | 1.83 Mn |
| Oct 31, 2022 | 1.45 Mn |
| Jul 31, 2022 | 1.81 Mn |
| Apr 30, 2022 | 1.74 Mn |
| Jan 31, 2022 | 2.38 Mn |
| Oct 31, 2021 | 2.97 Mn |
George Risk Industries Total Non-Current 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-non-current-liabilities&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();