iPower (IPW) Enterprise Value (2021 - 2026)
iPower (IPW) posted Enterprise Value of $1.26 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 99.7% from $468.16 million a year earlier and down 79.1% from the prior quarter.
iPower (IPW) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Enterprise Value at iPower was -$3.66 million; for FY2025 (ended Jun 30, 2025), it was $606.64 million, down 68.9% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of -46.3% (FY2021 to FY2025).
- In prior fiscal years, iPower's Enterprise Value was $1.95 billion in FY2024 (+99.6%), $976.7 million in FY2023 (+1.2%), $965.18 million in FY2022 (-86.7%) and $7.28 billion in FY2021.
- The fiscal Q3 2026 figure stands as the lowest quarterly Enterprise Value in data going back to fiscal Q4 2021.
- On a year-over-year basis, Enterprise Value has declined in each of the last five quarters, with an average decline of 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q1 2025, with growth of 166.1%; the weakest was fiscal Q3 2026, with a decline of 99.7%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $6.03 million (Q2 2026), $15.36 million (Q1 2026) and $606.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | iPower | 25,443.18 | -5.66 Mn | 755,549.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.26 Mn |
| Dec 31, 2025 | 6.03 Mn |
| Sep 30, 2025 | 15.36 Mn |
| Jun 30, 2025 | 606.64 Mn |
| Mar 31, 2025 | 468.16 Mn |
| Dec 31, 2024 | 780.76 Mn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 1.95 Bn |
| Mar 31, 2024 | 471.36 Mn |
| Dec 31, 2023 | 399.58 Mn |
| Sep 30, 2023 | 639.00 Mn |
| Jun 30, 2023 | 976.70 Mn |
| Mar 31, 2023 | 474.08 Mn |
| Dec 31, 2022 | 350.85 Mn |
| Sep 30, 2022 | 590.43 Mn |
| Jun 30, 2022 | 965.18 Mn |
| Mar 31, 2022 | 1.49 Bn |
| Dec 31, 2021 | 2.44 Bn |
| Sep 30, 2021 | 4.06 Bn |
| Jun 30, 2021 | 7.28 Bn |
iPower Enterprise Value 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=enterprise-value&ticker=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();