Power Integrations (POWI) Revenue (2009 - 2026)
Power Integrations (POWI) recorded Revenue of $118.94 million in Q2 2026, up 2.7% from $115.85 million a year earlier and up 9.8% from the prior quarter.
Power Integrations (POWI) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Power Integrations' Revenue came in at $449.37 million as of Jun 30, 2026, up 1.6% 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 Q2 2026 figure is the highest quarterly Revenue since Q3 2023.
- On a year-over-year basis, Revenue rose in six of the last eight quarters, with growth averaging 5.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 45.9% in Q3 2021, against a decline of 41.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $108.31 million (Q1 2026), $103.2 million (Q4 2025) and $118.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 41.46 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 11.54 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 11.31 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 16.13 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 6.72 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 9.12 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 118.94 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 176.78 Mn |
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_KEY
import 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();