Anderson Industrial Corporation (1528) Fair Value & Analysis
Industrials · TW · Market cap 4.8B TWD
Fair value as of: Jun 24, 2026
Analysis
Anderson Industrial Corporation (1528) currently trades at 24.65 TWD, while our model-based Fair Value estimate is 4.02 TWD — implying the stock looks roughly 83.7% overvalued today. We read business quality at 94/100 (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
Anderson Industrial Corporation designs, manufactures, and sells computer numerical control (CNC) machinery in Asia, Europe, North America, South America and internationally. The company operates through Machinery and Wood Panels segments. It provides single and multi-spindle circuit boards; and spindles used in milling, engraving, mold processing, 3C glass panel processing, high-speed grinding, PCB industry, and advanced materials processing applications. The company also offers CNC PTP, Selexx, Stratos, Exxact, Exxcel, and Andimaxx series; Ajet, a hybrid roll-to-flat bed printer; Akut, a digital print finishing solution; and print and graphic machines for aerospace, automotive, composites material, marine, railway, wood, metal working, and other industries. In addition, it provides tooling products for woodworking and metal working, lumber and wood panels, and building materials, as well as repair and hardware installation services. Further, the company engages in general investin…
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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.