iPower (IPW) Total Current Liabilities (2020 - 2026)
iPower (IPW) reported Total Current Liabilities of $7.26 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 49.7% from $14.45 million a year earlier but up 10.0% from the prior quarter.
iPower (IPW) Total Current Liabilities (2020 - 2026) Analysis & Trends
Dating back to fiscal Q4 2020, iPower's Total Current Liabilities record includes 23 quarters.
- Total Current Liabilities has a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $14.45 million in FY2025 (-39.2%), $23.77 million in FY2024 (+1.9%), $23.33 million in FY2023 (+2.0%) and $22.88 million in FY2022 (+153.6%).
- Five-year quarterly Total Current Liabilities spans a low of $6.6 million in fiscal Q3 2026 and a high of $26.5 million in fiscal Q3 2024.
- Year over year, Total Current Liabilities has now declined in each of the last eight quarters, with an average decline of 44.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q4 2022 (growth of 153.6%); the low point was fiscal Q3 2025 (a decline of 51.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $6.6 million (Q3 2026), $8.02 million (Q2 2026) and $8.12 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 2.04 Bn |
| 10 | iPower | 9,532.26 | -4.10 Mn | -2.80 Mn | 7.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.26 Mn |
| Mar 31, 2026 | 6.60 Mn |
| Dec 31, 2025 | 8.02 Mn |
| Sep 30, 2025 | 8.12 Mn |
| Jun 30, 2025 | 14.45 Mn |
| Mar 31, 2025 | 12.95 Mn |
| Dec 31, 2024 | 14.51 Mn |
| Sep 30, 2024 | 14.18 Mn |
| Jun 30, 2024 | 23.77 Mn |
| Mar 31, 2024 | 26.50 Mn |
| Dec 31, 2023 | 25.81 Mn |
| Sep 30, 2023 | 21.07 Mn |
| Jun 30, 2023 | 23.33 Mn |
| Mar 31, 2023 | 21.47 Mn |
| Dec 31, 2022 | 19.69 Mn |
| Sep 30, 2022 | 24.68 Mn |
| Jun 30, 2022 | 22.88 Mn |
| Mar 31, 2022 | 18.30 Mn |
| Dec 31, 2021 | 11.39 Mn |
| Sep 30, 2021 | 11.07 Mn |
iPower 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=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "IPW", "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=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();