iPower (IPW) Shares Outstanding (2020 - 2026)
iPower (IPW) posted Shares Outstanding of 33,671 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 92.3% from 436,745 a year earlier but up 66.7% from the prior quarter.
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Analysis
iPower (IPW) Shares Outstanding (2020 - 2026) Analysis & Trends
Since fiscal Q3 2020, iPower has reported Shares Outstanding for 26 quarters.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -35.1% (FY2021 to FY2026).
- In prior fiscal years, iPower's Shares Outstanding was 436,745 in FY2025 (+5.2%), 414,975 in FY2024 (+0.6%), 412,685 in FY2023 (+7.0%) and 385,854 in FY2022 (+31.6%).
- Quarterly Shares Outstanding 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 has declined in each of the last four quarters, with an average decline of 44.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding 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 for the three prior fiscal quarters was 20,193 (Q3 2026), 15,311 (Q2 2026) and 14,578 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,815.41 Bn | 2,332.10 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 309.55 Bn | 302.79 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 161.17 Bn | 138.72 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 108.79 Bn | 101.75 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.76 Bn | 57.68 Bn | 2.12 Bn | 317.69 Mn |
| 6 | O Reilly Automotive | 73.14 Bn | 72.22 Bn | 2.52 Bn | 825.20 Mn |
| 7 | Target | 69.64 Bn | 64.23 Bn | 8.94 Bn | 454.40 Mn |
| 8 | Autozone | 51.67 Bn | 50.58 Bn | 2.52 Bn | 16.47 Mn |
| 9 | Carvana | 42.61 Bn | 33.10 Bn | 1.38 Bn | 717.69 Mn |
| 10 | iPower | 9,613.07 | -4.10 Mn | -2.80 Mn | 33,671.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33,671.00 |
| 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 | 367,841.00 |
API Access
iPower Shares Outstanding 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&ticker=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();