iPower (IPW) Return on Sales [ROS] (2020 - 2026)
iPower (IPW) posted Return on Sales [ROS] of -32.71% for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 30.62 percentage points from -2.09% a year earlier but up 1.47 percentage points from the prior quarter.
iPower (IPW) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at iPower was -23.01%, down 21.46 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it was -8.87%, down 7.75 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -16.15 percentage points (FY2020 to FY2025).
- In prior fiscal years, iPower's Return on Sales [ROS] was -1.12% in FY2024 (+14.05 pp), -15.17% in FY2023 (-18.08 pp), 2.91% in FY2022 (-2.56 pp) and 5.47% in FY2021 (-1.81 pp).
- Quarterly Return on Sales [ROS] has run from a low of -34.18% in fiscal Q2 2026 to a high of 7.43% in fiscal Q1 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -9.70 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2024, with a gain of 19.27 percentage points; the weakest was fiscal Q2 2026, with a drop of 37.76 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was -34.18% (Q2 2026), -14.11% (Q1 2026) and -22.53% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 19.08% |
| 10 | iPower | 23,423.88 | -5.66 Mn | 755,549.00 | -32.71% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -32.71% |
| Dec 31, 2025 | -34.18% |
| Sep 30, 2025 | -14.11% |
| Jun 30, 2025 | -22.53% |
| 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% |
| Jun 30, 2021 | 1.65% |
iPower Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();