Top Bright Holding (8499) Fair Value & Analysis
Technology · TW · Market cap 11.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Top Bright Holding (8499) currently trades at 305.00 TWD, while our model-based Fair Value estimate is 166.28 TWD — implying the stock looks roughly 45.5% 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
Top Bright Holding Co., Ltd. engages in the research, development, manufacture, and sale of weighing instruments and electronic materials in China, Asia, Europe, and the Americas. It operates through Electronic Materials Department and Weighing Instruments Department segments. The company offers price forklift scales, medical scales, smart weighing systems, smart cash register scale, smart barcode scales, smart industrial scales, intelligent weighing instruments, traceability scales, traditional pricing scales, precision balances, traditional weighing scales, traditional counting scales, weighing indicators, electronic crane scale, electronic floor scale, electronic platform scales, and peripheral accessories, as well as weighing application software development used in retail, commercial, industrial, laboratory, and healthcare fields. It also provides conductive tape, conductive foams, ferrite series, absorbing materials, conductive films, conductive shielding net, insulation tapes…
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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.