Power Integrations (POWI) Capital Expenditures (2009 - 2026)
Power Integrations' Capital Expenditures was $4.3 million in Q2 2026, down 27.4% from $5.93 million a year earlier but up 115.3% from the prior quarter.
Power Integrations (POWI) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Power Integrations' Capital Expenditures was $19.04 million through Jun 30, 2026, down 6.8% year-over-year; for FY2025, it was $24.4 million, up 41.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $17.29 million in FY2024 (-17.2%), $20.88 million in FY2023 (-46.7%), $39.21 million in FY2022 (-17.1%) and $47.27 million in FY2021 (-33.0%).
- Quarterly Capital Expenditures has moved between $2 million (Q1 2026) and $16.97 million (Q4 2021) over five years.
- Compared with a year earlier, Capital Expenditures was higher in three of the last eight quarters, with growth averaging 4.8%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2025 (growth of 131.5%); the worst was Q2 2023 (a decline of 76.4%).
- Per Business Quant data, POWI's Capital Expenditures in the three quarters before Q2 2026 was $2 million (Q1 2026), $7.05 million (Q4 2025) and $5.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 4.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.30 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 7.05 Mn |
| Sep 30, 2025 | 5.69 Mn |
| Jun 30, 2025 | 5.93 Mn |
| Mar 31, 2025 | 5.73 Mn |
| Dec 31, 2024 | 3.05 Mn |
| Sep 30, 2024 | 5.73 Mn |
| Jun 30, 2024 | 4.17 Mn |
| Mar 31, 2024 | 4.34 Mn |
| Dec 31, 2023 | 6.14 Mn |
| Sep 30, 2023 | 7.53 Mn |
| Jun 30, 2023 | 3.13 Mn |
| Mar 31, 2023 | 4.08 Mn |
| Dec 31, 2022 | 5.77 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 13.24 Mn |
| Mar 31, 2022 | 14.70 Mn |
| Dec 31, 2021 | 16.97 Mn |
| Sep 30, 2021 | 11.01 Mn |
Power Integrations Capital Expenditures 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=capital-expenditures&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();