GLOBAL TEK FABRICATION CO., Ltd (4566) Fair Value & Analysis
Industrials · TW · Market cap 6.9B TWD
Fair value as of: Jun 24, 2026
Analysis
GLOBAL TEK FABRICATION CO., Ltd (4566) currently trades at 63.40 TWD, while our model-based Fair Value estimate is 26.22 TWD — implying the stock looks roughly 58.6% 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: high).
About the company
GLOBAL TEK FABRICATION CO., Ltd. manufactures and sells precision parts and subassemblies in China and internationally. It offers automotive engine and transmission system components comprising engine systems, power transmission system, turbochargers, exhaust gas recirculation, belt tensioners, vibration control and dual clutch gearbox systems, etc.; industrial instrumentation products, including automotive oil and gas regulating valve components, filters, industrial valves, flow control components, pressure control parts, precision measuring instruments, food and medical equipment, and other precision machinery and casting components; bicycle products comprising shock absorbers, and carbon drive sprocket system and related components; automotive safety systems, including inflators for airbag systems; and wafer feb equipment comprising pressure transmission meter, temperature sensor and flow control, precision valves, and regulators and surface mount components. The company also pro…
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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.