Wah Hong Industrial Corp (8240) Fair Value & Analysis
Technology · TW · Market cap 5.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Wah Hong Industrial Corp (8240) currently trades at 57.00 TWD, while our model-based Fair Value estimate is 43.34 TWD — implying the stock looks roughly 24.0% 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
Wah Hong Industrial Corp. manufactures and sells LCD materials, including diffusing film, reflective film, and optical films, as well as bulk molding compound (BMC) materials and molded products in Taiwan, China, and internationally. The company offers opto-electronics material comprising optical film, optical plate, and touch panel material; and precise coating products, such as protective film, screen protector, ASF, thermal and UV release tapes, QFN tape, OEM/ODM coating service, surface coating, and adhesive formulation. It also provides BMC bulk molding materials, granular thermoset molding materials, functional engineering plastics, composite materials, functional engineering plastics, lithium battery materials and cells, lithium battery module, and power module packaging materials. In addition, the company offers graphite thermal sheet, microcrystal copper, solid air heat insulation sheet, heat pipe / vapor chambers / 3D VC, air thermal module, liquid cooling module, and PCI …
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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.