Qisda Corporation (2352) Fair Value & Analysis
Technology · TW · Market cap 49.0B TWD
Analysis
Qisda Corporation (2352) currently trades at 30.60 TWD, while our model-based Fair Value estimate is 14.46 TWD — implying the stock looks roughly 52.7% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Qisda Corporation, together with its subsidiaries, manufactures, sells, and services monitors, opto-mechatronics products, and optoelectronics film in Taiwan, the Americas, Mainland China, Japan, and internationally. It operates through five segments: Design and Manufacturing Services (DMS), Brand Marketing, Materials Science, Medical Services, and Network Communication Department. The company engages in design, research, manufacturing, and sale of electronic, brand name, broadband, wireless network, and computer network system equipment products; and operates hospital profession, as well as provides medical services, hemodialysis, imaging consumables, and equipment. The company also offers IT products, such as display, projectors, and cameras, as well as IA solutions, machine visions, and automotive solutions; and smart solutions, including smart enterprise, energy, healthcare, manufacturing, education, and mart retail solutions. In addition, the digital multimedia company manufact…
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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.