Xxentria Technology Materials Co (8942) Fair Value & Analysis
Basic Materials · TW · Market cap 8.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Xxentria Technology Materials Co (8942) currently trades at 41.65 TWD, while our model-based Fair Value estimate is 31.12 TWD — implying the stock looks roughly 25.3% overvalued today. We read business quality at 84/100 (high quality), in the Basic Materials 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
Xxentria Technology Materials Co., Ltd. manufactures and sells steel composite materials in the United States, Asia, and internationally. It offers architectural products, including laminated, lacquer, PVD coating, and anodizing for exterior facades cladding and interior furnishing for new buildings, as well as refurbishment applications; solar receiver tube and reflective materials for concentrated solar power, residential and industrial solar thermal, cooling, heating, and desalination. The company also provides galvanized steel composite panels and tensile aluminum composite panels for composite wall panels and door panels for truck and trailer bodies. In addition, it is involved in manufacturing and selling of electronic components; international trade business; pollution prevention, recycling materials, and waste clearing; investment activities; manufacture and assemble of axles; and operations asset management. The company was formally known as Xxentria Industrial Co., Ltd. an…
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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.