iPower (IPW) Total Non-Current Liabilities (2020 - 2026)
iPower's Total Non-Current Liabilities was $7.55 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 10.4% from $6.84 million a year earlier but down 5.5% from the prior quarter.
iPower (IPW) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Total Non-Current Liabilities at iPower came in at $2.91 million, down 35.4% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 42.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $4.51 million in FY2024 (-71.6%), $15.9 million in FY2023 (-31.8%), $23.3 million in FY2022 and $1.63 million in FY2021 (+225.6%).
- Quarterly Total Non-Current Liabilities has moved between $1.43 million (fiscal Q1 2022) and $23.97 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with an average decline of 14.2%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2022 (growth of 697.5%); the worst was fiscal Q4 2024 (a decline of 71.6%).
- Per Business Quant data, IPW's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $7.99 million (Q2 2026), $2.56 million (Q1 2026) and $2.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.81 Bn |
| 10 | iPower | 25,443.18 | -5.66 Mn | 755,549.00 | 7.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.55 Mn |
| Dec 31, 2025 | 7.99 Mn |
| Sep 30, 2025 | 2.56 Mn |
| Jun 30, 2025 | 2.91 Mn |
| Mar 31, 2025 | 6.84 Mn |
| Dec 31, 2024 | 7.66 Mn |
| Sep 30, 2024 | 7.08 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 4.95 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 10.83 Mn |
| Jun 30, 2023 | 15.90 Mn |
| Mar 31, 2023 | 14.22 Mn |
| Dec 31, 2022 | 17.24 Mn |
| Sep 30, 2022 | 23.97 Mn |
| Jun 30, 2022 | 23.30 Mn |
| Mar 31, 2022 | 21.81 Mn |
| Dec 31, 2021 | 8.18 Mn |
| Sep 30, 2021 | 1.43 Mn |
| Jun 30, 2021 | 1.63 Mn |
iPower 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=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();