Avertronics Inc (3597) Fair Value & Analysis
Technology · TW · Market cap 1.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Avertronics Inc (3597) currently trades at 26.30 TWD, while our model-based Fair Value estimate is 20.02 TWD — implying the stock looks roughly 23.9% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Avertronics Inc. engages in the manufacturing and sales of waterproof connectors and wire harnesses in Taiwan, Mainland China, and internationally. The company offers temperature control components, special wires, terminals, connectors, network accessories, accessory assemblies, and various computer peripheral products. It also provides mobility solar system for solar trailer energy storage system, fixed solar panel products, and EPC engineering for solar energy transfer and storage electrical engineering; agent products; and connectors, contacts, wires, terminal, and platinum resistor under the JST, Molex, TE, Amp, Sumitomo, APP, Kurabe, Heraeus, and THERMOSTAT of Sensata brands. In addition, the company offers silicon materials for electronics industries; lightweight solar panel for EPC and power saving industry; and PE films for clean packaging on electronics components and food industries. Avertronics Inc. was founded in 1986 and is headquartered in Taichung, 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.