iPower (IPW) Shares Outstanding (Diluted) (2020 - 2026)
iPower (IPW) posted Shares Outstanding (Diluted) of 20,193 for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 95.4% from 436,878 a year earlier but up 31.9% from the prior quarter.
iPower (IPW) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), iPower's Shares Outstanding (Diluted) came in at 436,745, up 5.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 10.5% (FY2021 to FY2025).
- In prior fiscal years, iPower's Shares Outstanding (Diluted) was 414,975 in FY2024 (+0.6%), 412,685 in FY2023 (+7.0%), 385,854 in FY2022 (+31.6%) and 293,288 in FY2021.
- Quarterly Shares Outstanding (Diluted) has run from a low of 14,578 in fiscal Q1 2026 to a high of 436,878 in fiscal Q3 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last three quarters, with an average decline of 33.3% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q3 2022, with growth of 38.8%; the weakest was fiscal Q1 2026, with a decline of 96.7%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 15,311 (Q2 2026), 14,578 (Q1 2026) and 436,745 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.85 Mn |
| 10 | iPower | 23,423.88 | -5.66 Mn | 755,549.00 | 20,193.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 20,193.00 |
| Dec 31, 2025 | 15,311.00 |
| Sep 30, 2025 | 14,578.00 |
| Jun 30, 2025 | 436,745.00 |
| Mar 31, 2025 | 436,878.00 |
| Dec 31, 2024 | 436,632.00 |
| Sep 30, 2024 | 436,350.00 |
| Jun 30, 2024 | 414,975.00 |
| Mar 31, 2024 | 414,192.00 |
| Dec 31, 2023 | 413,753.00 |
| Sep 30, 2023 | 413,396.00 |
| Jun 30, 2023 | 412,685.00 |
| Mar 31, 2023 | 412,929.00 |
| Dec 31, 2022 | 413,092.00 |
| Sep 30, 2022 | 412,024.00 |
| Jun 30, 2022 | 385,854.00 |
| Mar 31, 2022 | 389,516.00 |
| Dec 31, 2021 | 367,932.00 |
| Sep 30, 2021 | 367,992.00 |
| Jun 30, 2021 | 293,288.00 |
iPower Shares Outstanding (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=shares-outstanding-diluted&ticker=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();