Chang Wah Electromaterials Inc (8070) Fair Value & Analysis
Technology · TW · Market cap 40.4B TWD
Analysis
Chang Wah Electromaterials Inc (8070) currently trades at 57.80 TWD, while our model-based Fair Value estimate is 33.03 TWD — implying the stock looks roughly 42.9% 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
Chang Wah Electromaterials Inc. engages in trading of electrical, telecommunication, and semiconductor materials and parts in Taiwan, Asia, and internationally. It offers various IC packaging materials, including EME, lead frame, laminated substrate, CRM, FCCSP/FCBGA substrate, release film, cover and UV tape, low CTE core and prepreg material, and dummy and monitor wafer; IC/LED packaging equipment, such as auto molding, trim and form, and full auto mold equipment, as well as fluid dispensing systems. The company also provides EMC LED lead frames; light guide plate and fine pitch FPC; and solar power systems. In addition, it is involved in import, export trading, leasing, manufacturing, and selling of electrical appliances, telecommunications equipment, and mechanical parts; and retailing of synthetic resin, and electronic materials and components. The company"s products are used for PC peripherals, consumer electronics, network and telecom, mobile devices, automotive, opto-electro…
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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.