Lian Hong Art. Co (6755) Fair Value & Analysis
Technology · TW · Market cap 659M TWD
Fair value as of: Jun 24, 2026
Analysis
Lian Hong Art. Co (6755) currently trades at 16.50 TWD, while our model-based Fair Value estimate is 12.36 TWD — implying the stock looks roughly 25.1% overvalued today. We read business quality at 95/100 (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
Lian Hong Art. Co., Ltd., together with its subsidiaries, manufactures and sells hub components and other structural metal products in Taiwan, Mainland China, and internationally. The company offers concave cam automatic closing auto lock, dual axis sync, dual axis switch, and center hinges for laptops; wrap-around pipespring and autostand hinges, as well as virtual axis tripod kickstand hinge webcam for tablets, PCs, and tripods; camera flip screen link, light torsion plastic steel POM, and motor clutch hinges for 3C products; car seat headrest adjuster hinges for cars; and other products. It also provides electronic components; computer and peripheral equipment; and precision and special bearings for main engines. In addition, the company is involved in general investment; information and telecommunications equipment; metal stamping parts; gold, metal, and mold zero accessories; and stamping electronic parts. Lian Hong Art. Co., Ltd. was founded in 1994 and is based in Taoyuan Cit…
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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.