Power Integrations (POWI) Return on Capital Employed [ROCE] (2009 - 2026)
Power Integrations' Return on Capital Employed [ROCE] was 5.30% in Q3 2026, up 4.55 percentage points from 0.75% a year earlier and up 3.15 percentage points from the prior quarter.
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Analysis
Power Integrations (POWI) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Power Integrations came in at 1.40%, down 0.94 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a five-year change of -7.51 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 2.33% in FY2024 (-2.16 pp), 4.49% in FY2023 (-16.27 pp), 20.76% in FY2022 (+1.02 pp) and 19.75% in FY2021 (+10.83 pp).
- The Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -0.37 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2022 (a gain of 10.95 percentage points); the worst was Q3 2023 (a drop of 19.61 percentage points).
- Per Business Quant data, POWI's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 2.14% (Q2 2026), 0.70% (Q1 2026) and 1.45% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 8.88% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.30% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 72.24% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 10.71% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Power Integrations | 2.47 Bn | 1.41 Bn | 69.72 Mn | 5.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.30% |
| Jun 30, 2026 | 2.14% |
| Mar 31, 2026 | 0.70% |
| Dec 31, 2025 | 1.45% |
| Sep 30, 2025 | 0.75% |
| Jun 30, 2025 | 2.82% |
| Mar 31, 2025 | 3.15% |
| Dec 31, 2024 | 2.32% |
| Sep 30, 2024 | 1.70% |
| Jun 30, 2024 | 2.53% |
| Mar 31, 2024 | 3.90% |
| Dec 31, 2023 | 4.42% |
| Sep 30, 2023 | 7.05% |
| Jun 30, 2023 | 11.09% |
| Mar 31, 2023 | 17.26% |
| Dec 31, 2022 | 23.11% |
| Sep 30, 2022 | 26.66% |
| Jun 30, 2022 | 25.32% |
| Mar 31, 2022 | 20.71% |
| Dec 31, 2021 | 18.67% |
API Access
Power Integrations Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();