iPower (IPW) EPS (Diluted) (2020 - 2026)
iPower (IPW) recorded EPS (Diluted) of -$171.09 in fiscal Q3 2026 (quarter ended Mar 31, 2026), compared with -$0.78 a year earlier.
iPower (IPW) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a TTM basis, iPower's EPS (Diluted) came in at -$396.18 as of Mar 31, 2026; for FY2025 (ended Jun 30, 2025), it came in at -$11.38.
- Across earlier fiscal years, EPS (Diluted) came in at -$3.68 in FY2024, -$28.99 in FY2023, $3.93 in FY2022 and -$2.65 in FY2021.
- The fiscal Q3 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 -$77.94 (Q2 2026), -$36.61 (Q1 2026) and -$6.45 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 38.07 |
| 10 | iPower | 23,625.81 | -5.66 Mn | 755,549.00 | -171.09 |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | -6.50 |
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_KEY
import 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();