Power Integrations (POWI) Cash & Equivalents (2009 - 2026)
Power Integrations (POWI) recorded Cash & Equivalents of $70.61 million in Q2 2026, up 5.5% from $66.94 million a year earlier and up 11.4% from the prior quarter.
Power Integrations (POWI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Power Integrations reported Cash & Equivalents of $58.76 million, up 15.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -25.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $50.97 million in FY2024 (-20.3%), $63.93 million in FY2023 (-39.3%), $105.37 million in FY2022 (-33.4%) and $158.12 million in FY2021 (-38.9%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q3 2023.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 32.6% in Q2 2025, against a decline of 77.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $63.39 million (Q1 2026), $58.76 million (Q4 2025) and $48.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 70.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.61 Mn |
| Mar 31, 2026 | 63.39 Mn |
| Dec 31, 2025 | 58.76 Mn |
| Sep 30, 2025 | 48.65 Mn |
| Jun 30, 2025 | 66.94 Mn |
| Mar 31, 2025 | 49.61 Mn |
| Dec 31, 2024 | 50.97 Mn |
| Sep 30, 2024 | 58.47 Mn |
| Jun 30, 2024 | 50.49 Mn |
| Mar 31, 2024 | 56.44 Mn |
| Dec 31, 2023 | 63.93 Mn |
| Sep 30, 2023 | 94.74 Mn |
| Jun 30, 2023 | 84.10 Mn |
| Mar 31, 2023 | 94.19 Mn |
| Dec 31, 2022 | 105.37 Mn |
| Sep 30, 2022 | 133.47 Mn |
| Jun 30, 2022 | 67.38 Mn |
| Mar 31, 2022 | 170.62 Mn |
| Dec 31, 2021 | 158.12 Mn |
| Sep 30, 2021 | 262.44 Mn |
Power Integrations Cash & Equivalents 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=cash-and-equivalents&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();