iPower (IPW) Operating Expenses (2020 - 2026)
iPower (IPW) reported Operating Expenses of $1.9 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 73.6% from $7.19 million a year earlier and down 65.9% from the prior quarter.
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Analysis
iPower (IPW) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, iPower's Operating Expenses came in at $23.12 million, down 31.1% year-over-year; for FY2025 (ended Jun 30, 2025), it was $34.86 million, down 10.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $39.08 million in FY2024 (-19.0%), $48.28 million in FY2023 (+56.3%), $30.89 million in FY2022 (+55.5%) and $19.86 million in FY2021 (+62.5%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses in data going back to fiscal Q3 2020.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with an average decline of 26.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2023 (growth of 142.0%); the low point was fiscal Q3 2026 (a decline of 73.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $5.58 million (Q2 2026), $6.5 million (Q1 2026) and $9.14 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | iPower | 25,443.18 | -5.66 Mn | 755,549.00 | 1.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.90 Mn |
| Dec 31, 2025 | 5.58 Mn |
| Sep 30, 2025 | 6.50 Mn |
| Jun 30, 2025 | 9.14 Mn |
| Mar 31, 2025 | 7.19 Mn |
| Dec 31, 2024 | 7.71 Mn |
| Sep 30, 2024 | 11.23 Mn |
| Jun 30, 2024 | 7.42 Mn |
| Mar 31, 2024 | 8.77 Mn |
| Dec 31, 2023 | 9.87 Mn |
| Sep 30, 2023 | 13.03 Mn |
| Jun 30, 2023 | 12.05 Mn |
| Mar 31, 2023 | 9.60 Mn |
| Dec 31, 2022 | 12.05 Mn |
| Sep 30, 2022 | 14.58 Mn |
| Jun 30, 2022 | 10.61 Mn |
| Mar 31, 2022 | 7.83 Mn |
| Dec 31, 2021 | 6.42 Mn |
| Sep 30, 2021 | 6.02 Mn |
| Jun 30, 2021 | 6.30 Mn |
API Access
iPower Operating Expenses 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=operating-expenses&ticker=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();