Power Integrations (POWI) EBITDA (2009 - 2026)
Power Integrations (POWI) reported EBITDA of $15.31 million for Q2 2026, up 161.0% from $5.87 million a year earlier and up 90.9% from the prior quarter.
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Analysis
Power Integrations (POWI) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Power Integrations' EBITDA came in at $41.52 million, down 20.4% year-over-year; for FY2025, it came in at $38.23 million, down 27.2% from FY2024.
- EBITDA has declined for three consecutive years, with a five-year compound annual growth rate of -17.3% (FY2020 to FY2025).
- By year, EBITDA came in at $52.53 million in FY2024 (-27.5%), $72.46 million in FY2023 (-66.7%), $217.76 million in FY2022 (+3.7%) and $210.06 million in FY2021 (+113.0%).
- Five-year quarterly EBITDA spans a low of $2.8 million in Q3 2025 and a high of $69.47 million in Q2 2022.
- Year over year, EBITDA gained in four of the last eight quarters, with growth averaging 9.8%.
- The high point for year-over-year EBITDA in five years was Q2 2026 (growth of 161.0%); the low point was Q3 2025 (a decline of 86.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.02 million (Q1 2026), $15.39 million (Q4 2025) and $2.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 Bn |
| 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 | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 15.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.31 Mn |
| Mar 31, 2026 | 8.02 Mn |
| Dec 31, 2025 | 15.39 Mn |
| Sep 30, 2025 | 2.80 Mn |
| Jun 30, 2025 | 5.87 Mn |
| Mar 31, 2025 | 14.17 Mn |
| Dec 31, 2024 | 11.89 Mn |
| Sep 30, 2024 | 20.24 Mn |
| Jun 30, 2024 | 10.67 Mn |
| Mar 31, 2024 | 9.73 Mn |
| Dec 31, 2023 | 8.41 Mn |
| Sep 30, 2023 | 26.92 Mn |
| Jun 30, 2023 | 21.88 Mn |
| Mar 31, 2023 | 15.26 Mn |
| Dec 31, 2022 | 30.31 Mn |
| Sep 30, 2022 | 57.80 Mn |
| Jun 30, 2022 | 69.47 Mn |
| Mar 31, 2022 | 60.18 Mn |
| Dec 31, 2021 | 53.21 Mn |
| Sep 30, 2021 | 54.51 Mn |
API Access
Power Integrations EBITDA 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&ticker=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();