Power Integrations (POWI) Revenue (2009 - 2026)
Power Integrations (POWI) recorded Revenue of $125.48 million in Q3 2026, up 5.5% from $118.92 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Power Integrations (POWI) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Power Integrations' Revenue came in at $455.93 million as of Sep 30, 2026, up 2.3% year-over-year; for FY2025, it came in at $443.5 million, up 5.9% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $418.97 million in FY2024 (-5.8%), $444.54 million in FY2023 (-31.7%), $651.14 million in FY2022 (-7.4%) and $703.28 million in FY2021 (+44.0%).
- The Q3 2026 figure is the highest quarterly Revenue since Q3 2023.
- On a year-over-year basis, Revenue has increased for three consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 17.6% in Q4 2024, against a decline of 41.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $118.94 million (Q2 2026), $108.31 million (Q1 2026) and $103.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.87 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 46.73 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 96.22 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 29.59 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 54.23 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 13.38 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 11.31 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 16.51 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 10.41 Bn |
| 10 | Power Integrations | 2.47 Bn | 1.41 Bn | 69.72 Mn | 125.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 125.48 Mn |
| Jun 30, 2026 | 118.94 Mn |
| Mar 31, 2026 | 108.31 Mn |
| Dec 31, 2025 | 103.20 Mn |
| Sep 30, 2025 | 118.92 Mn |
| Jun 30, 2025 | 115.85 Mn |
| Mar 31, 2025 | 105.53 Mn |
| Dec 31, 2024 | 105.25 Mn |
| Sep 30, 2024 | 115.84 Mn |
| Jun 30, 2024 | 106.20 Mn |
| Mar 31, 2024 | 91.69 Mn |
| Dec 31, 2023 | 89.51 Mn |
| Sep 30, 2023 | 125.51 Mn |
| Jun 30, 2023 | 123.22 Mn |
| Mar 31, 2023 | 106.30 Mn |
| Dec 31, 2022 | 124.77 Mn |
| Sep 30, 2022 | 160.23 Mn |
| Jun 30, 2022 | 183.99 Mn |
| Mar 31, 2022 | 182.15 Mn |
| Dec 31, 2021 | 172.65 Mn |
API Access
Power Integrations Revenue 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=revenue&ticker=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();