Power Integrations (POWI) Return on Sales [ROS] (2009 - 2026)
Power Integrations' Return on Sales [ROS] was 7.48% in Q2 2026, up 8.64 percentage points from -1.16% a year earlier and up 6.14 percentage points from the prior quarter.
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Analysis
Power Integrations (POWI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Power Integrations' Return on Sales [ROS] was 3.38% through Jun 30, 2026, down 1.34 percentage points year-over-year; for FY2025, it was 2.30%, down 1.98 percentage points from FY2024.
- Return on Sales [ROS] has now declined for three consecutive years, with a five-year change of -12.14 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 4.28% in FY2024 (-3.61 pp), 7.89% in FY2023 (-19.82 pp), 27.71% in FY2022 (+2.82 pp) and 24.89% in FY2021 (+10.46 pp).
- Quarterly Return on Sales [ROS] has moved between -3.32% (Q3 2025) and 32.67% (Q2 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -0.16 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 13.62 percentage points); the worst was Q1 2023 (a drop of 22.61 percentage points).
- Per Business Quant data, POWI's Return on Sales [ROS] in the three quarters before Q2 2026 was 1.34% (Q1 2026), 8.50% (Q4 2025) and -3.32% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 7.48% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.48% |
| Mar 31, 2026 | 1.34% |
| Dec 31, 2025 | 8.50% |
| Sep 30, 2025 | -3.32% |
| Jun 30, 2025 | -1.16% |
| Mar 31, 2025 | 6.37% |
| Dec 31, 2024 | 3.72% |
| Sep 30, 2024 | 10.00% |
| Jun 30, 2024 | 1.84% |
| Mar 31, 2024 | 0.51% |
| Dec 31, 2023 | -1.17% |
| Sep 30, 2023 | 14.11% |
| Jun 30, 2023 | 10.26% |
| Mar 31, 2023 | 5.42% |
| Dec 31, 2022 | 16.74% |
| Sep 30, 2022 | 30.19% |
| Jun 30, 2022 | 32.67% |
| Mar 31, 2022 | 28.02% |
| Dec 31, 2021 | 25.66% |
| Sep 30, 2021 | 25.79% |
API Access
Power Integrations 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=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "POWI", "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=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();