Power Integrations (POWI) EBIT (2009 - 2026)
Power Integrations (POWI) posted EBIT of $8.9 million for Q2 2026, compared with -$1.35 million a year earlier and up 512.1% from the prior quarter.
Power Integrations (POWI) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Power Integrations was $15.18 million, down 27.3% year-over-year; for FY2025, it was $10.19 million, down 43.1% from FY2024.
- Annual EBIT has declined for three consecutive years, with a five-year compound annual growth rate of -32.1% (FY2020 to FY2025).
- In prior years, Power Integrations' EBIT was $17.93 million in FY2024 (-48.9%), $35.06 million in FY2023 (-80.6%), $180.41 million in FY2022 (+3.1%) and $175.06 million in FY2021 (+148.4%).
- The Q2 2026 figure stands as the highest quarterly EBIT since Q3 2024.
- The strongest year-over-year quarter for EBIT in the past five years was Q3 2021, with growth of 209.3%; the weakest was Q1 2024, with a decline of 91.8%.
- According to Business Quant data, EBIT for the three prior quarters was $1.45 million (Q1 2026), $8.77 million (Q4 2025) and -$3.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.32 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.08 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 8.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.90 Mn |
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 8.77 Mn |
| Sep 30, 2025 | -3.95 Mn |
| Jun 30, 2025 | -1.35 Mn |
| Mar 31, 2025 | 6.72 Mn |
| Dec 31, 2024 | 3.92 Mn |
| Sep 30, 2024 | 11.58 Mn |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 470,000.00 |
| Dec 31, 2023 | -1.05 Mn |
| Sep 30, 2023 | 17.71 Mn |
| Jun 30, 2023 | 12.64 Mn |
| Mar 31, 2023 | 5.76 Mn |
| Dec 31, 2022 | 20.89 Mn |
| Sep 30, 2022 | 48.37 Mn |
| Jun 30, 2022 | 60.10 Mn |
| Mar 31, 2022 | 51.05 Mn |
| Dec 31, 2021 | 44.30 Mn |
| Sep 30, 2021 | 45.59 Mn |
Power Integrations EBIT 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=ebit&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();