Power Integrations (POWI) EPS (Diluted) (2009 - 2026)
Power Integrations (POWI) recorded EPS (Diluted) of $0.17 in Q2 2026, up 614.3% from $0.02 a year earlier and up 193.6% from the prior quarter.
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Analysis
Power Integrations (POWI) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Power Integrations' EPS (Diluted) came in at $0.44 as of Jun 30, 2026, down 25.8% year-over-year; for FY2025, it was $0.39, down 30.5% from FY2024.
- Annual EPS (Diluted) has declined for three straight years, with a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $0.56 in FY2024 (-41.7%), $0.97 in FY2023 (-67.0%), $2.93 in FY2022 (+9.4%) and $2.67 in FY2021 (+128.7%).
- Quarterly EPS (Diluted) has ranged from -$0.02 in Q3 2025 to $0.96 in Q2 2022 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in three of the last seven quarters, with growth averaging 84.1%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 614.3% in Q2 2026, against a decline of 84.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.06 (Q1 2026), $0.24 (Q4 2025) and -$0.02 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 24.67 |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.17 |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 0.17 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.17 |
| Mar 31, 2026 | 0.06 |
| Dec 31, 2025 | 0.24 |
| Sep 30, 2025 | -0.02 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | 0.15 |
| Dec 31, 2024 | 0.16 |
| Sep 30, 2024 | 0.25 |
| Jun 30, 2024 | 0.09 |
| Mar 31, 2024 | 0.07 |
| Dec 31, 2023 | 0.25 |
| Sep 30, 2023 | 0.34 |
| Jun 30, 2023 | 0.26 |
| Mar 31, 2023 | 0.12 |
| Dec 31, 2022 | 0.39 |
| Sep 30, 2022 | 0.80 |
| Jun 30, 2022 | 0.96 |
| Mar 31, 2022 | 0.77 |
| Dec 31, 2021 | 0.66 |
| Sep 30, 2021 | 0.69 |
API Access
Power Integrations EPS (Diluted) 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=eps-diluted&ticker=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();