Power Integrations (POWI) Finished Goods (2012 - 2026)
Power Integrations' Finished Goods came in at $29.78 million for Q2 2026, down 4.4% from $31.15 million a year earlier and down 11.2% from the prior quarter.
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Analysis
Power Integrations (POWI) Finished Goods (2012 - 2026) Analysis & Trends
At the end of FY2025, Power Integrations' Finished Goods was $37.62 million, up 1.9% from FY2024.
- Finished Goods carries a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by year, Finished Goods was $36.93 million in FY2024 (-12.0%), $41.97 million in FY2023 (-5.9%), $44.63 million in FY2022 (+2.9%) and $43.35 million in FY2021 (+38.6%).
- The Q2 2026 figure represents the lowest quarterly Finished Goods since Q3 2021.
- Year-over-year, Finished Goods increased in two of the last eight quarters, with an average decline of 7.9%.
- The fastest year-over-year change in Finished Goods over five years came in Q1 2022 (growth of 82.0%), and the weakest in Q3 2023 (a decline of 26.7%).
- Business Quant data shows POWI's Finished Goods at $33.52 million (Q1 2026), $37.62 million (Q4 2025) and $30.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.78 Mn |
| Mar 31, 2026 | 33.52 Mn |
| Dec 31, 2025 | 37.62 Mn |
| Sep 30, 2025 | 30.23 Mn |
| Jun 30, 2025 | 31.15 Mn |
| Mar 31, 2025 | 33.43 Mn |
| Dec 31, 2024 | 36.93 Mn |
| Sep 30, 2024 | 34.82 Mn |
| Jun 30, 2024 | 37.25 Mn |
| Mar 31, 2024 | 38.31 Mn |
| Dec 31, 2023 | 41.97 Mn |
| Sep 30, 2023 | 37.16 Mn |
| Jun 30, 2023 | 41.59 Mn |
| Mar 31, 2023 | 40.37 Mn |
| Dec 31, 2022 | 44.63 Mn |
| Sep 30, 2022 | 50.70 Mn |
| Jun 30, 2022 | 50.08 Mn |
| Mar 31, 2022 | 47.59 Mn |
| Dec 31, 2021 | 43.35 Mn |
| Sep 30, 2021 | 28.39 Mn |
API Access
Power Integrations Finished Goods 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=finished-goods&ticker=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();