Aurotek Corporation (6215) Fair Value & Analysis
Industrials · TW · Market cap 8.9B TWD
Fair value as of: Jun 24, 2026
Analysis
Aurotek Corporation (6215) currently trades at 106.50 TWD, while our model-based Fair Value estimate is 30.77 TWD — implying the stock looks roughly 71.1% 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: high).
About the company
Aurotek Corporation engages in the processing, manufacturing, and trading of various automation equipment, system components, machinery systems, and components in Taiwan, Mainland China, Japan, and internationally. It operates through three segments: Automation Components, Automation Equipment, and Robotics and Others. The Automation Components segment focuses on high-precision transmission, drive, sensing, and control elements, supporting the development, production, sales, and technical support of equipment integration applications. The Automation Equipment segment develops, produces, and sells smart process equipment and integrated hardware and software modules for assembly, testing, handling, and collaborative applications. The Robotics and Others segment develops and sells artificial intelligence robotic solutions, including autonomous mobile robots, industrial robots, humanoid robots, and energy-saving building materials such as Greenwind blinds. The company also provides auto…
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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.