George Risk Industries (RSKIA) Total Current Liabilities (2015 - 2026)
George Risk Industries (RSKIA) reported Total Current Liabilities of $4.89 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 1.9% from $4.8 million a year earlier and up 4.1% from the prior quarter.
George Risk Industries (RSKIA) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), George Risk Industries posted Total Current Liabilities of $4.7 million, up 12.7% from FY2025.
- Total Current Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $4.17 million in FY2025 (+11.0%), $3.76 million in FY2024 (+5.0%), $3.58 million in FY2023 (+10.1%) and $3.25 million in FY2022 (+8.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Current Liabilities since fiscal Q2 2025.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with growth averaging 12.0%.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q2 2025 (growth of 53.4%); the low point was fiscal Q2 2022 (a decline of 19.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.7 million (Q4 2026), $4.55 million (Q3 2026) and $4.88 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 3.66 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 | 4.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.89 Mn |
| Apr 30, 2026 | 4.70 Mn |
| Jan 31, 2026 | 4.55 Mn |
| Oct 31, 2025 | 4.88 Mn |
| Jul 31, 2025 | 4.80 Mn |
| Apr 30, 2025 | 4.17 Mn |
| Jan 31, 2025 | 4.70 Mn |
| Oct 31, 2024 | 5.32 Mn |
| Jul 31, 2024 | 4.55 Mn |
| Apr 30, 2024 | 3.76 Mn |
| Jan 31, 2024 | 3.82 Mn |
| Oct 31, 2023 | 3.47 Mn |
| Jul 31, 2023 | 3.53 Mn |
| Apr 30, 2023 | 3.58 Mn |
| Jan 31, 2023 | 3.51 Mn |
| Oct 31, 2022 | 3.21 Mn |
| Jul 31, 2022 | 3.76 Mn |
| Apr 30, 2022 | 3.25 Mn |
| Jan 31, 2022 | 3.33 Mn |
| Oct 31, 2021 | 3.17 Mn |
George Risk Industries Total 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-current-liabilities&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();