Power Integrations (POWI) EBITDA Margin (2009 - 2026)
Power Integrations (POWI) recorded EBITDA Margin of 12.87% in Q2 2026, up 7.81 percentage points from 5.06% a year earlier and up 5.47 percentage points from the prior quarter.
Power Integrations (POWI) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Power Integrations' EBITDA Margin came in at 9.24% as of Jun 30, 2026, down 2.55 percentage points year-over-year; for FY2025, it was 8.62%, down 3.92 percentage points from FY2024.
- Annual EBITDA Margin has declined for three straight years, with a five-year change of -11.58 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 12.54% in FY2024 (-3.76 pp), 16.30% in FY2023 (-17.14 pp), 33.44% in FY2022 (+3.57 pp) and 29.87% in FY2021 (+9.67 pp).
- Quarterly EBITDA Margin has ranged from 2.35% in Q3 2025 to 37.76% in Q2 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in four of the last eight quarters, with an average year-over-year change of -1.74 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 12.82 percentage points in Q3 2021, against a drop of 20.01 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 7.40% (Q1 2026), 14.92% (Q4 2025) and 2.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 67.41% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 61.40% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 86.07% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 23.88% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 31.13% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 39.17% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 35.39% |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 12.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.87% |
| Mar 31, 2026 | 7.40% |
| Dec 31, 2025 | 14.92% |
| Sep 30, 2025 | 2.35% |
| Jun 30, 2025 | 5.06% |
| Mar 31, 2025 | 13.43% |
| Dec 31, 2024 | 11.30% |
| Sep 30, 2024 | 17.48% |
| Jun 30, 2024 | 10.05% |
| Mar 31, 2024 | 10.61% |
| Dec 31, 2023 | 9.39% |
| Sep 30, 2023 | 21.45% |
| Jun 30, 2023 | 17.75% |
| Mar 31, 2023 | 14.36% |
| Dec 31, 2022 | 24.29% |
| Sep 30, 2022 | 36.07% |
| Jun 30, 2022 | 37.76% |
| Mar 31, 2022 | 33.04% |
| Dec 31, 2021 | 30.82% |
| Sep 30, 2021 | 30.84% |
Power Integrations EBITDA 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=ebitda-margin&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();