Eris Technology Corporation (3675) Fair Value & Analysis
Technology · TW · Market cap 16.5B TWD
Analysis
Eris Technology Corporation (3675) currently trades at 445.50 TWD, while our model-based Fair Value estimate is 54.08 TWD — implying the stock looks roughly 87.9% overvalued today. We read business quality at 93/100 (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
Eris Technology Corporation, an original design manufacturer, provides various support services for design, manufacturing, and after-marketing services for diode products in Taiwan, Asia, Europe, Australia, and North America. The company offers low-capacitance and automotive load dump TVS; ESD/EOS devices; MOSFETs; schottky barrier, super and hyper fast, fast recovery, bridge, and general; and silicon carbide power schottky, small signal schottky, current regulative, small signal switching, and zener diodes, as well as diodes for solar modules. It also engages in the manufacturing and sales of wafers and diodes; and design, research, development, and sales of integrated circuits (ICs), heat sinks, and chips. In addition, the company, through its subsidiaries, is involved in the wholesaling and international trading of electronic materials, and the manufacturing and wholesale of electronic parts and components. The company was founded in 1995 and is headquartered in New Taipei City, …
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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.