Magnachip Semiconductor (MX) Total Liabilities (2010 - 2026)
Magnachip Semiconductor's Total Liabilities was $98.32 million in Q2 2026, down 2.0% from $100.37 million a year earlier and down 4.2% from the prior quarter.
Magnachip Semiconductor (MX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Magnachip Semiconductor came in at $103.28 million, up 0.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -14.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $102.52 million in FY2024 (+35.1%), $75.89 million in FY2023 (-14.2%), $88.49 million in FY2022 (-32.4%) and $130.89 million in FY2021 (-42.1%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q4 2023.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with growth averaging 7.3%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 38.7%); the worst was Q3 2021 (a decline of 73.0%).
- Per Business Quant data, MX's Total Liabilities in the three quarters before Q2 2026 was $102.66 million (Q1 2026), $103.28 million (Q4 2025) and $104.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,245.12 Bn | 5,019.28 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.94 Bn | 1,831.80 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,601.09 Bn | 1,527.13 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,027.34 Bn | 932.98 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 883.99 Bn | 840.73 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 636.63 Bn | 592.32 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 474.14 Bn | 343.27 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 321.35 Bn | 286.79 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Magnachip Semiconductor | 93.51 Mn | -311.45 Mn | 8.65 Mn | 98.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.32 Mn |
| Mar 31, 2026 | 102.66 Mn |
| Dec 31, 2025 | 103.28 Mn |
| Sep 30, 2025 | 104.26 Mn |
| Jun 30, 2025 | 100.37 Mn |
| Mar 31, 2025 | 104.67 Mn |
| Dec 31, 2024 | 102.52 Mn |
| Sep 30, 2024 | 111.78 Mn |
| Jun 30, 2024 | 106.85 Mn |
| Mar 31, 2024 | 104.28 Mn |
| Dec 31, 2023 | 75.89 Mn |
| Sep 30, 2023 | 80.61 Mn |
| Jun 30, 2023 | 79.44 Mn |
| Mar 31, 2023 | 94.49 Mn |
| Dec 31, 2022 | 88.49 Mn |
| Sep 30, 2022 | 122.99 Mn |
| Jun 30, 2022 | 127.58 Mn |
| Mar 31, 2022 | 126.70 Mn |
| Dec 31, 2021 | 130.89 Mn |
| Sep 30, 2021 | 129.39 Mn |
Magnachip Semiconductor 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=MX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MX", "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=MX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();