Power Integrations (POWI) Shares Outstanding (2009 - 2026)
Power Integrations' Weighted Average Shares Outstanding was 55.85 million in Q3 2026, up 0.1% from 55.8 million a year earlier and up 0.2% from the prior quarter.
Power Integrations (POWI) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Power Integrations came in at 56.06 million, down 1.3% from FY2024.
- Weighted Average Shares Outstanding has now declined for four consecutive years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 56.82 million in FY2024 (-0.7%), 57.2 million in FY2023 (-1.0%), 57.8 million in FY2022 (-4.2%) and 60.33 million in FY2021 (+1.1%).
- Quarterly Weighted Average Shares Outstanding has moved between 55.51 million (Q1 2026) and 60.33 million (Q4 2021) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding was higher in two of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q4 2021 (growth of 1.1%); the worst was Q3 2022 (a decline of 5.2%).
- Per Business Quant data, POWI's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 55.75 million (Q2 2026), 55.51 million (Q1 2026) and 56.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 189.55 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 25.93 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 24.19 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.77 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.13 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.64 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.50 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.24 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 794.00 Mn |
| 10 | Power Integrations | 2.47 Bn | 1.41 Bn | 69.72 Mn | 55.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.85 Mn |
| Jun 30, 2026 | 55.75 Mn |
| Mar 31, 2026 | 55.51 Mn |
| Dec 31, 2025 | 56.06 Mn |
| Sep 30, 2025 | 55.80 Mn |
| Jun 30, 2025 | 56.27 Mn |
| Mar 31, 2025 | 56.87 Mn |
| Dec 31, 2024 | 56.82 Mn |
| Sep 30, 2024 | 56.82 Mn |
| Jun 30, 2024 | 56.78 Mn |
| Mar 31, 2024 | 56.83 Mn |
| Dec 31, 2023 | 57.20 Mn |
| Sep 30, 2023 | 57.38 Mn |
| Jun 30, 2023 | 57.36 Mn |
| Mar 31, 2023 | 57.11 Mn |
| Dec 31, 2022 | 57.80 Mn |
| Sep 30, 2022 | 57.17 Mn |
| Jun 30, 2022 | 57.73 Mn |
| Mar 31, 2022 | 59.24 Mn |
| Dec 31, 2021 | 60.33 Mn |
Power Integrations Shares Outstanding 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=shares-outstanding&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();