Power Integrations (POWI) Retained Earnings (2009 - 2026)
Power Integrations' Retained Earnings came in at $663.23 million for Q2 2026, down 5.9% from $705.05 million a year earlier and down 0.3% from the prior quarter.
Power Integrations (POWI) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Power Integrations' Retained Earnings was $673.93 million, down 8.2% from FY2024.
- Retained Earnings has declined in each of the last three years, though with a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $734.04 million in FY2024 (-2.6%), $753.68 million in FY2023 (-1.2%), $762.54 million in FY2022 (+1.2%) and $753.44 million in FY2021 (+21.2%).
- The Q2 2026 figure represents the lowest quarterly Retained Earnings since Q1 2021.
- Year-over-year, Retained Earnings has declined for 11 consecutive quarters, with an average decline of 5.5% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q4 2021 (growth of 21.2%), and the weakest in Q1 2026 (a decline of 9.0%).
- Business Quant data shows POWI's Retained Earnings at $665.28 million (Q1 2026), $673.93 million (Q4 2025) and $673.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 296.63 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 94.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 20.47 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 61.39 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 663.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.23 Mn |
| Mar 31, 2026 | 665.28 Mn |
| Dec 31, 2025 | 673.93 Mn |
| Sep 30, 2025 | 673.22 Mn |
| Jun 30, 2025 | 705.05 Mn |
| Mar 31, 2025 | 730.87 Mn |
| Dec 31, 2024 | 734.04 Mn |
| Sep 30, 2024 | 736.84 Mn |
| Jun 30, 2024 | 733.91 Mn |
| Mar 31, 2024 | 740.72 Mn |
| Dec 31, 2023 | 753.68 Mn |
| Sep 30, 2023 | 771.34 Mn |
| Jun 30, 2023 | 762.44 Mn |
| Mar 31, 2023 | 758.54 Mn |
| Dec 31, 2022 | 762.54 Mn |
| Sep 30, 2022 | 755.95 Mn |
| Jun 30, 2022 | 720.28 Mn |
| Mar 31, 2022 | 789.03 Mn |
| Dec 31, 2021 | 753.44 Mn |
| Sep 30, 2021 | 721.79 Mn |
Power Integrations Retained Earnings 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=retained-earnings&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();