Champion Building Materials Co (1806) Fair Value & Analysis
Industrials · TW · Market cap 3.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Champion Building Materials Co (1806) currently trades at 8.23 TWD, while our model-based Fair Value estimate is 6.10 TWD — implying the stock looks roughly 25.9% 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: medium).
About the company
Champion Building Materials Co.,Ltd., together with its subsidiaries, manufactures and markets ceramics, ceramic products, stone products, fire-resistant materials, and other chemical products in Asia, the United States, and Australia. It operates through Tiles Business, Chinese Business, Wooden floor, and Other segments. The company offers various floor, wall, polished, slate, external, and functional tiles; and stone materials substitutes, and other products. It also engages in investment business; production and sale of high-end sanitary porcelain; and sale of kaolinite, chinastone, feldspar, and silica sand. In addition, the company manufactures cement, metal structure, and building components; and offers agency services. Further, it engages in wholesale of building materials, as well as sales and installation of various wooden floors. Champion Building Materials Co.,Ltd. was founded in 1972 and is headquartered in Miaoli, 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.