Marketech International Corp (6196) Fair Value & Analysis
Technology · TW · Market cap 111B TWD
Analysis
Marketech International Corp (6196) currently trades at 540.00 TWD, while our model-based Fair Value estimate is 218.78 TWD — implying the stock looks roughly 59.5% 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: high).
About the company
Marketech International Corp., manufactures, sells, imports, and trades in a range of integrated circuits, semiconductors, electrical and computer equipment and materials, chemicals, gas, spare parts, and components in Taiwan, China, the United States, and internationally. The company is involved in factory affairs and mechatronic systems, including clean rooms, automatic supply system of gas and chemicals, monitoring systems, turn-key, and hook-up project services, and other factory systems and electromechanical systems; and designs and manufactures customized equipment. In addition, it engages in contracting for semiconductor automotive supply system and electrical installation construction; international trade; trading, installation, and repair of various machinery equipment and peripherals; consulting services, software execution services, and computer hardware installation; research, trading, and consulting of information system software and hardware appliance; production, deve…
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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.