iPower (IPW) Total Liabilities (2020 - 2026)
iPower (IPW) reported Total Liabilities of $14.16 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 28.5% from $19.79 million a year earlier and down 11.6% from the prior quarter.
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Analysis
iPower (IPW) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), iPower posted Total Liabilities of $17.37 million, down 38.6% from FY2024.
- Total Liabilities has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $28.28 million in FY2024 (-27.9%), $39.23 million in FY2023 (-15.1%), $46.18 million in FY2022 (+333.5%) and $10.65 million in FY2021 (-0.8%).
- Five-year quarterly Total Liabilities spans a low of $10.65 million in fiscal Q4 2021 and a high of $48.65 million in fiscal Q1 2023.
- Year over year, Total Liabilities has now declined in each of the last 13 quarters, with an average decline of 34.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2022 (growth of 333.5%); the low point was fiscal Q1 2026 (a decline of 49.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $16.01 million (Q2 2026), $10.67 million (Q1 2026) and $17.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | iPower | 25,443.18 | -5.66 Mn | 755,549.00 | 14.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 14.16 Mn |
| Dec 31, 2025 | 16.01 Mn |
| Sep 30, 2025 | 10.67 Mn |
| Jun 30, 2025 | 17.37 Mn |
| Mar 31, 2025 | 19.79 Mn |
| Dec 31, 2024 | 22.17 Mn |
| Sep 30, 2024 | 21.26 Mn |
| Jun 30, 2024 | 28.28 Mn |
| Mar 31, 2024 | 31.45 Mn |
| Dec 31, 2023 | 31.31 Mn |
| Sep 30, 2023 | 31.90 Mn |
| Jun 30, 2023 | 39.23 Mn |
| Mar 31, 2023 | 35.69 Mn |
| Dec 31, 2022 | 36.93 Mn |
| Sep 30, 2022 | 48.65 Mn |
| Jun 30, 2022 | 46.18 Mn |
| Mar 31, 2022 | 40.11 Mn |
| Dec 31, 2021 | 19.58 Mn |
| Sep 30, 2021 | 12.49 Mn |
| Jun 30, 2021 | 10.65 Mn |
API Access
iPower 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=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();