Chime Ball Technology Co (1595) Fair Value & Analysis
Industrials · TW · Market cap 4.0B TWD
Fair value as of: Jun 25, 2026
Analysis
Chime Ball Technology Co (1595) currently trades at 82.00 TWD, while our model-based Fair Value estimate is 25.08 TWD — implying the stock looks roughly 69.4% overvalued today. We read business quality at 95/100 (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: low).
About the company
Chime Ball Technology Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of special exposure equipment for printed circuit boards industry in Taiwan. The company offers green energy LED exposure machines, such as solder-resistant, outer layer, and inner layer UV-LED exposure machines; digital direct imaging exposure machines, including laser light and UV-LED light sources; solder resist exposure machines; and fully automated laminating machines, exposure lamps, and UV energy illuminance meters. It also sells, installs, and maintains complete plant equipment transfer solutions for semiconductor process equipment refurbishment and spare parts; sells mechanical equipment, electronic components and information software, and data software services; engages in international trade; and operates as an investment advisor. Chime Ball Technology Co.,Ltd. was founded in 1988 and is headquartered in Taoyuan 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.