Asia Neo Tech Industrial Co (4542) Fair Value & Analysis
Industrials · TW · Market cap 11.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Asia Neo Tech Industrial Co (4542) currently trades at 385.00 TWD, while our model-based Fair Value estimate is 681.93 TWD — implying the stock looks roughly 77.1% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Asia Neo Tech Industrial Co.,Ltd. researches, develops, manufactures, and sells automatic drying equipment in Taiwan, Mainland China, and internationally. The company offers hot-air ovens for clean room, low-temp UV curing machines, low-temp bake of T/P glass in clean room, hot-air multilayer ovens, auto cassette-type hot-air conveyor ovens, auto IR and hot-air conveyor ovens, and semi-automatic laminating machines; and auto low-pressure spray coating machines, vertical-type auto roller coating lines, auto stripping machines, auto electrostatic spray coating lines, high-uniformity UV curing machines, pre-curing ovens before lamination, vertical-type auto roller coating lines, auto rack-type hot-air conveyor ovens for clean room, laminator for the 2nd step process, auto hanging-type hot-air conveyor ovens, conveyor ovens for final inspection of SMT Temp, flatting machines, hot-air ovens, n2 ovens, and vertical double-door type hot-air ovens for clean room. It also provides conveyor o…
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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.