iPower (IPW) Operating Margin (2020 - 2026)
iPower's Operating Margin came in at -648.01% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 614.87 percentage points from -33.14% a year earlier and down 615.31 percentage points from the prior quarter.
iPower (IPW) Operating Margin (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), iPower's Operating Margin was -72.30%, down 62.29 percentage points from FY2025.
- Operating Margin carries a five-year change of -77.77 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was -10.01% in FY2025 (-8.89 pp), -1.12% in FY2024 (+14.05 pp), -15.17% in FY2023 (-18.08 pp) and 2.91% in FY2022 (-2.56 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly Operating Margin in data going back to fiscal Q3 2020.
- Year-over-year, Operating Margin has declined for three consecutive quarters, with an average year-over-year change of -90.29 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q4 2024 (a gain of 19.27 percentage points), and the weakest in fiscal Q4 2026 (a drop of 614.87 percentage points).
- Business Quant data shows IPW's Operating Margin at -32.71% (Q3 2026), -34.18% (Q2 2026) and -14.11% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 20.15% |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 9.22% |
| 10 | iPower | 9,532.26 | -4.10 Mn | -2.80 Mn | -648.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -648.01% |
| Mar 31, 2026 | -32.71% |
| Dec 31, 2025 | -34.18% |
| Sep 30, 2025 | -14.11% |
| Jun 30, 2025 | -33.14% |
| Mar 31, 2025 | -2.09% |
| Dec 31, 2024 | 3.58% |
| Sep 30, 2024 | -14.45% |
| Jun 30, 2024 | 6.46% |
| Mar 31, 2024 | 6.87% |
| Dec 31, 2023 | -15.19% |
| Sep 30, 2023 | -4.79% |
| Jun 30, 2023 | -12.81% |
| Mar 31, 2023 | -8.95% |
| Dec 31, 2022 | -21.20% |
| Sep 30, 2022 | -17.65% |
| Jun 30, 2022 | -6.74% |
| Mar 31, 2022 | 6.04% |
| Dec 31, 2021 | 6.63% |
| Sep 30, 2021 | 7.43% |
iPower Operating Margin 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-margin&ticker=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();