iPower (IPW) Cost of Revenue (2020 - 2026)
iPower's Cost of Revenue came in at $2.74 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 70.1% from $9.19 million a year earlier and down 31.3% from the prior quarter.
iPower (IPW) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, iPower reported Cost of Revenue of $21.35 million, down 48.1% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $37.15 million, down 22.5% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $47.95 million in FY2024 (-11.4%), $54.1 million in FY2023 (+17.1%), $46.22 million in FY2022 (+47.9%) and $31.26 million in FY2021 (+26.0%).
- The fiscal Q3 2026 figure represents the lowest quarterly Cost of Revenue in data going back to fiscal Q3 2020.
- Year-over-year, Cost of Revenue has declined for five consecutive quarters, with an average decline of 33.2% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q3 2022 (growth of 84.5%), and the weakest in fiscal Q3 2026 (a decline of 70.1%).
- Business Quant data shows IPW's Cost of Revenue at $3.99 million (Q2 2026), $7.21 million (Q1 2026) and $7.4 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | iPower | 37,711.52 | -4.12 Mn | -2.80 Mn | 4.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.23 Mn |
| Mar 31, 2026 | 2.74 Mn |
| Dec 31, 2025 | 3.99 Mn |
| Sep 30, 2025 | 7.21 Mn |
| Jun 30, 2025 | 7.40 Mn |
| Mar 31, 2025 | 9.19 Mn |
| Dec 31, 2024 | 10.68 Mn |
| Sep 30, 2024 | 10.52 Mn |
| Jun 30, 2024 | 10.78 Mn |
| Mar 31, 2024 | 12.94 Mn |
| Dec 31, 2023 | 9.48 Mn |
| Sep 30, 2023 | 14.75 Mn |
| Jun 30, 2023 | 14.35 Mn |
| Mar 31, 2023 | 12.43 Mn |
| Dec 31, 2022 | 11.29 Mn |
| Sep 30, 2022 | 16.04 Mn |
| Jun 30, 2022 | 13.00 Mn |
| Mar 31, 2022 | 13.60 Mn |
| Dec 31, 2021 | 9.57 Mn |
| Sep 30, 2021 | 10.05 Mn |
iPower Cost of Revenue 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=cost-of-revenue&ticker=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();