Power Integrations (POWI) Inventory (2009 - 2026)
Power Integrations' Inventory came in at $157.79 million for Q2 2026, down 6.3% from $168.4 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Power Integrations (POWI) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Power Integrations' Inventory was $166.89 million, up 0.8% from FY2024.
- Inventory has increased in each of the last four years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Going back by year, Inventory was $165.61 million in FY2024 (+1.5%), $163.16 million in FY2023 (+20.5%), $135.42 million in FY2022 (+36.4%) and $99.27 million in FY2021 (-3.5%).
- The Q2 2026 figure represents the lowest quarterly Inventory since Q3 2023.
- Year-over-year, Inventory increased in four of the last eight quarters, with growth averaging 0.2%.
- The fastest year-over-year change in Inventory over five years came in Q1 2023 (growth of 38.1%), and the weakest in Q3 2021 (a decline of 12.4%).
- Business Quant data shows POWI's Inventory at $162.98 million (Q1 2026), $166.89 million (Q4 2025) and $164.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn | 157.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.79 Mn |
| Mar 31, 2026 | 162.98 Mn |
| Dec 31, 2025 | 166.89 Mn |
| Sep 30, 2025 | 164.62 Mn |
| Jun 30, 2025 | 168.40 Mn |
| Mar 31, 2025 | 169.07 Mn |
| Dec 31, 2024 | 165.61 Mn |
| Sep 30, 2024 | 167.68 Mn |
| Jun 30, 2024 | 169.88 Mn |
| Mar 31, 2024 | 167.87 Mn |
| Dec 31, 2023 | 163.16 Mn |
| Sep 30, 2023 | 150.25 Mn |
| Jun 30, 2023 | 149.74 Mn |
| Mar 31, 2023 | 142.44 Mn |
| Dec 31, 2022 | 135.42 Mn |
| Sep 30, 2022 | 120.09 Mn |
| Jun 30, 2022 | 111.26 Mn |
| Mar 31, 2022 | 103.12 Mn |
| Dec 31, 2021 | 99.27 Mn |
| Sep 30, 2021 | 91.81 Mn |
API Access
Power Integrations Inventory 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=inventory&ticker=POWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();