Monolithic Power Systems (MPWR) Total Liabilities (2009 - 2026)
Monolithic Power Systems' Total Liabilities was $938.84 million in Q3 2026, up 28.6% from $729.88 million a year earlier and up 18.7% from the prior quarter.
Monolithic Power Systems (MPWR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Monolithic Power Systems came in at $662.7 million, up 17.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $564.7 million in FY2024 (+46.9%), $384.41 million in FY2023 (-1.5%), $390.28 million in FY2022 (+14.2%) and $341.84 million in FY2021 (+41.3%).
- The Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 32.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 46.9%); the worst was Q3 2023 (a decline of 4.3%).
- Per Business Quant data, MPWR's Total Liabilities in the three quarters before Q3 2026 was $790.78 million (Q2 2026), $771.46 million (Q1 2026) and $662.7 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 | Monolithic Power Systems | 67.85 Bn | 62.72 Bn | 665.54 Mn | 938.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 938.84 Mn |
| Jun 30, 2026 | 790.78 Mn |
| Mar 31, 2026 | 771.46 Mn |
| Dec 31, 2025 | 662.70 Mn |
| Sep 30, 2025 | 729.88 Mn |
| Jun 30, 2025 | 662.29 Mn |
| Mar 31, 2025 | 631.51 Mn |
| Dec 31, 2024 | 564.70 Mn |
| Sep 30, 2024 | 503.05 Mn |
| Jun 30, 2024 | 452.27 Mn |
| Mar 31, 2024 | 465.14 Mn |
| Dec 31, 2023 | 384.41 Mn |
| Sep 30, 2023 | 383.23 Mn |
| Jun 30, 2023 | 381.53 Mn |
| Mar 31, 2023 | 450.39 Mn |
| Dec 31, 2022 | 390.28 Mn |
| Sep 30, 2022 | 400.51 Mn |
| Jun 30, 2022 | 362.57 Mn |
| Mar 31, 2022 | 387.87 Mn |
| Dec 31, 2021 | 341.84 Mn |
Monolithic Power Systems 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=MPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MPWR", "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=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();