Power Integrations (POWI) Total Liabilities (2009 - 2026)
Power Integrations (POWI) reported Total Liabilities of $92.15 million for Q3 2026, down 8.4% from $100.55 million a year earlier and down 6.4% from the prior quarter.
Power Integrations (POWI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Power Integrations posted Total Liabilities of $99.36 million, up 25.7% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $79.05 million in FY2024 (+16.9%), $67.63 million in FY2023 (-20.3%), $84.88 million in FY2022 (-17.2%) and $102.46 million in FY2021 (+10.3%).
- The Q3 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2025.
- Year over year, Total Liabilities gained in seven of the last eight quarters, with growth averaging 17.6%.
- The high point for year-over-year Total Liabilities in five years was Q3 2025 (growth of 32.7%); the low point was Q1 2024 (a decline of 24.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $98.48 million (Q2 2026), $98.88 million (Q1 2026) and $99.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Power Integrations | 2.47 Bn | 1.41 Bn | 69.72 Mn | 92.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 92.15 Mn |
| Jun 30, 2026 | 98.48 Mn |
| Mar 31, 2026 | 98.88 Mn |
| Dec 31, 2025 | 99.36 Mn |
| Sep 30, 2025 | 100.55 Mn |
| Jun 30, 2025 | 93.75 Mn |
| Mar 31, 2025 | 78.59 Mn |
| Dec 31, 2024 | 79.05 Mn |
| Sep 30, 2024 | 75.78 Mn |
| Jun 30, 2024 | 74.02 Mn |
| Mar 31, 2024 | 67.60 Mn |
| Dec 31, 2023 | 67.63 Mn |
| Sep 30, 2023 | 80.43 Mn |
| Jun 30, 2023 | 91.53 Mn |
| Mar 31, 2023 | 89.10 Mn |
| Dec 31, 2022 | 84.88 Mn |
| Sep 30, 2022 | 87.68 Mn |
| Jun 30, 2022 | 98.76 Mn |
| Mar 31, 2022 | 98.62 Mn |
| Dec 31, 2021 | 102.46 Mn |
Power Integrations Total Liabilities 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=total-liabilities&ticker=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();