Huxen Corporation (2433) Fair Value & Analysis
Industrials · TW · Market cap 6.4B TWD
Fair value as of: Jun 24, 2026
Analysis
Huxen Corporation (2433) currently trades at 44.90 TWD, while our model-based Fair Value estimate is 38.64 TWD — implying the stock looks roughly 13.9% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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
Huxen Corporation engages in sales, import, export, repair, and rental of office equipment, fax machines, and communication products in Taiwan. The company offers RICOH photocopiers, multifunctional business machines, laser printers, digital printing press, large image output device, quickprinters, telephone switchboard and exchange peripherals, firewall brands, network switch, and wireless base station. It also provides cybersecurity management system, print volume management system, process management system, printing application system, video conferencing system, electronic whiteboard, cloud-based human resources system, and temperature measurement and facial recognition system. In addition, the company offers IT service management, cloud, communication, and software solutions. Further, it involves in buying, selling, repair, and leasing of business machine and equipment. Huxen Corporation was founded in 1984 and is based in Taipei, Taiwan.
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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.