Power Integrations (POWI) Amortizatization of Intangibles (2010 - 2026)
Power Integrations' Amortizatization of Intangibles came in at $168,000 for Q2 2026, down 19.2% from $208,000 a year earlier and down 8.2% from the prior quarter.
Power Integrations (POWI) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Power Integrations reported Amortizatization of Intangibles of $767,000, down 10.0% year-over-year; for FY2025, it was $831,000, down 36.1% from FY2024.
- Amortizatization of Intangibles has declined in each of the last ten years, with a five-year compound annual growth rate of -28.3% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $1.3 million in FY2024 (-40.9%), $2.2 million in FY2023 (-8.9%), $2.42 million in FY2022 (-31.0%) and $3.5 million in FY2021 (-20.5%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles in data going back to Q1 2010.
- Year-over-year, Amortizatization of Intangibles has declined for three consecutive quarters, with an average decline of 32.3% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q4 2023 (growth of 4.8%), and the weakest in Q1 2025 (a decline of 61.9%).
- Business Quant data shows POWI's Amortizatization of Intangibles at $183,000 (Q1 2026), $208,000 (Q4 2025) and $208,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 | 2.04 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 168,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168,000.00 |
| Mar 31, 2026 | 183,000.00 |
| Dec 31, 2025 | 208,000.00 |
| Sep 30, 2025 | 208,000.00 |
| Jun 30, 2025 | 208,000.00 |
| Mar 31, 2025 | 207,000.00 |
| Dec 31, 2024 | 229,000.00 |
| Sep 30, 2024 | 208,000.00 |
| Jun 30, 2024 | 320,000.00 |
| Mar 31, 2024 | 543,000.00 |
| Dec 31, 2023 | 570,000.00 |
| Sep 30, 2023 | 544,000.00 |
| Jun 30, 2023 | 543,000.00 |
| Mar 31, 2023 | 543,000.00 |
| Dec 31, 2022 | 544,000.00 |
| Sep 30, 2022 | 543,000.00 |
| Jun 30, 2022 | 604,000.00 |
| Mar 31, 2022 | 724,000.00 |
| Dec 31, 2021 | 801,000.00 |
| Sep 30, 2021 | 794,000.00 |
Power Integrations Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();