Magnachip Semiconductor Corporation (MX) Fair Value & Analysis
Technology · US · Market cap $216M
Fair value as of: Jun 25, 2026
Analysis
Magnachip Semiconductor Corporation (MX) currently trades at $4.86, while our model-based Fair Value estimate is $2.02 — implying the stock looks roughly 58.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Magnachip Semiconductor Corporation, together with its subsidiaries, designs, manufactures, and supplies analog and mixed-signal semiconductor platform solutions for communications, the Internet of Things, consumer, computing, industrial, and automotive applications. It provides display solutions, including source and gate drivers, and timing controllers that cover a range of flat panel displays used in mobile communications, automotive, entertainment devices, monitors, notebook PCs, tablet PC and TVs, liquid crystal display, organic light emitting diodes (OLED), and micro light emitting diode (Micro LED) panel. The company also offers metal oxide semiconductor field-effect transistors, insulated-gate bipolar transistors, AC-DC converters, DC-DC converters, LED drivers, regulators, and power management integrated circuits for a range of devices comprising televisions, smartphones, mobile phones, wearable devices, desktop PCs, notebooks, tablet PCs, level shifter, and other consumer …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.