Airtac International Group (1590) Fair Value & Analysis
Industrials · TW · Market cap 264B TWD
Analysis
Airtac International Group (1590) currently trades at 1,385 TWD, while our model-based Fair Value estimate is 881.98 TWD — implying the stock looks roughly 36.3% 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
Airtac International Group manufactures and sells pneumatic control components in Taiwan and internationally. The company offers preparation units and control components comprising solenoid, pneumatic and flow control, ordinary coils, and other valves. It also provides actuators, such as standard, mini, compact, slide table, guided, rodless magnetic, clamp, free mount, and rotary table cylinders; air grippers; GA series, GP series, pressure switch, vacuum components, and other series; and cylinder accessories. In addition, the company offers fitting and tubbing accessories, including shock absorbers, stainless steel one-touch fittings, flame resistant tubes, PU tube, and pneumatic indicators, as well as linear guide products. Its products are used in automotive, machinery manufacturing, metallurgy, electronics, rail transit, environmental protection, lighting, textiles, ceramics, medical equipment, food, packaging, and automated industrial sectors. Airtac International Group was fou…
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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.