iPower (IPW) Capital Expenditures (2021 - 2023)
iPower's Capital Expenditures came in at $163,588 for FY2025 (year ended Jun 30, 2025).
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Analysis
iPower (IPW) Capital Expenditures (2021 - 2023) Analysis & Trends
Going back to FY2020, iPower's Capital Expenditures data covers 5 fiscal years.
- Capital Expenditures carries a five-year compound annual growth rate of 92.1% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Capital Expenditures since FY2022.
- Per Business Quant, earlier fiscal years put Capital Expenditures at $140,813 in FY2023 (-70.9%), $484,172 in FY2022 (+687.3%) and $61,498 in FY2021 (+883.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | iPower | 23,423.88 | -5.66 Mn | 755,549.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -4,072.00 |
| Mar 31, 2023 | 17,518.00 |
| Dec 31, 2022 | 69,378.00 |
| Sep 30, 2022 | 57,989.00 |
| Jun 30, 2022 | 442,752.00 |
| Mar 31, 2022 | -15,004.00 |
| Dec 31, 2021 | 6,001.00 |
| Sep 30, 2021 | 50,423.00 |
| Mar 31, 2021 | 5,747.00 |
API Access
iPower Capital Expenditures 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=capital-expenditures&ticker=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();