iPower (IPW) EPS (Diluted) (2020 - 2026)
iPower (IPW) recorded EPS (Diluted) of -$191.28 in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$6.45 a year earlier.
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Analysis
iPower (IPW) EPS (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), iPower reported EPS (Diluted) of -$345.17.
- Across earlier fiscal years, EPS (Diluted) came in at -$11.38 in FY2025, -$3.68 in FY2024, -$28.99 in FY2023 and $3.93 in FY2022.
- The fiscal Q4 2026 figure is the lowest quarterly EPS (Diluted) in data going back to fiscal Q1 2021.
- Per Business Quant, the preceding three fiscal quarters came in at -$171.09 (Q3 2026), -$77.94 (Q2 2026) and -$36.61 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 2.66 |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 0.86 |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 4.11 |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 38.07 |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 0.42 |
| 10 | iPower | 9,572.67 | -4.10 Mn | -2.80 Mn | -191.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -191.28 |
| Mar 31, 2026 | -171.09 |
| Dec 31, 2025 | -77.94 |
| Sep 30, 2025 | -36.61 |
| Jun 30, 2025 | -6.45 |
| Mar 31, 2025 | -0.78 |
| Dec 31, 2024 | 0.50 |
| Sep 30, 2024 | -4.65 |
| Jun 30, 2024 | 1.58 |
| Mar 31, 2024 | 2.45 |
| Dec 31, 2023 | -4.63 |
| Sep 30, 2023 | -3.11 |
| Jun 30, 2023 | -7.18 |
| Mar 31, 2023 | -3.71 |
| Dec 31, 2022 | -7.97 |
| Sep 30, 2022 | -10.15 |
| Jun 30, 2022 | -3.50 |
| Mar 31, 2022 | 3.03 |
| Dec 31, 2021 | 2.17 |
| Sep 30, 2021 | 2.41 |
API Access
iPower EPS (Diluted) 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=eps-diluted&ticker=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();