iPower (IPW) Shares Outstanding (Entity) (2020 - 2026)
iPower (IPW) reported Shares Outstanding (Entity) of 20,193 for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 95.4% from 435,554 a year earlier but up 34.4% from the prior quarter.
iPower (IPW) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), iPower posted Shares Outstanding (Entity) of 435,554, unchanged from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding (Entity) came in at 435,554 in FY2024 (+5.5%), 412,652 in FY2023 (+0.5%), 410,728 in FY2022 (-13.5%) and 475,062 in FY2021 (unchanged).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 14,580 in fiscal Q1 2026 and a high of 475,062 in fiscal Q2 2022.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last three quarters, with an average decline of 33.3% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q2 2025 (growth of 5.5%); the low point was fiscal Q1 2026 (a decline of 96.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 15,020 (Q2 2026), 14,580 (Q1 2026) and 435,554 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 16.33 Mn |
| 10 | iPower | 25,443.18 | -5.66 Mn | 755,549.00 | 20,193.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 20,193.00 |
| Dec 31, 2025 | 15,020.00 |
| Sep 30, 2025 | 14,580.00 |
| Jun 30, 2025 | 435,554.00 |
| Mar 31, 2025 | 435,554.00 |
| Dec 31, 2024 | 435,554.00 |
| Sep 30, 2024 | 435,554.00 |
| Jun 30, 2024 | 435,554.00 |
| Mar 31, 2024 | 414,142.00 |
| Dec 31, 2023 | 412,652.00 |
| Sep 30, 2023 | 412,652.00 |
| Jun 30, 2023 | 412,652.00 |
| Mar 31, 2023 | 410,728.00 |
| Dec 31, 2022 | 410,728.00 |
| Sep 30, 2022 | 410,728.00 |
| Jun 30, 2022 | 410,728.00 |
| Mar 31, 2022 | 410,728.00 |
| Dec 31, 2021 | 475,062.00 |
| Sep 30, 2021 | 475,062.00 |
| Jun 30, 2021 | 475,062.00 |
iPower Shares Outstanding (Entity) 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-entity&ticker=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();