Jiin Yeeh Ding Enterprises Corp (8390) Fair Value & Analysis
Industrials · TW · Market cap 10.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Jiin Yeeh Ding Enterprises Corp (8390) currently trades at 113.50 TWD, while our model-based Fair Value estimate is 98.26 TWD — implying the stock looks roughly 13.4% overvalued today. We read business quality at 92/100 (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: high).
About the company
Jiin Yeeh Ding Enterprises Corp., a professional electronic waste recycling and treatment company, provides e-waste disposal service for the technology companies in Taiwan. The company offers clearance and processing of industrial waste; OEM refining of precious metals; sales of precious metals such as gold, silver, platinum, and palladium; mixed metal scrap and single metals, such as scrap iron, copper, aluminum, tin; and foreign metal scrap and scrap metal trade. It offers precious metal recycling and reprocessing; semiconductor equipment cleaning; raw material sales; scrap collection and disposal; and general resource recycling services. In addition, the company serves conductor, printed circuit board, computer components, optoelectronics, chemical, petrochemical, passive components, telecommunication and communications, and other industries. Jiin Yeen Ding Enterprise Corp. was founded in 1997 and is headquartered in Hsinchu City, 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.