Aplex Technology Inc (6570) Fair Value & Analysis
Technology · TW · Market cap 2.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Aplex Technology Inc (6570) currently trades at 52.80 TWD, while our model-based Fair Value estimate is 18.28 TWD — implying the stock looks roughly 65.4% 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
Aplex Technology Inc. develops, manufactures, and sells industrial PC products worldwide. The company provides stainless steel panel, industrial panel, embedded box, in-vehicle panel, and ATEx panel PC products. It also offers human-machine interfaces, ATEx displays, ATEx box PC products, industrial displays and boards, machine vision systems, industrial AIOT solutions, industrial rugged tablets, and medical and marine solutions, as well as accessories, including storage products, power adapters, product stands, and Wi-Fi bluetooth products. The company's products have applications in the smart factory, surveillance, control and communication, machine vision, food and beverage automation, kiosk and ticketing, ATEX oil and gas, smart warehousing and transportation, and healthcare sectors. In addition, it offers OEM/ODM solutions, such as marking and coding machines, KVM displayers for military training, and indoor/outdoor security gate HMI solutions; and APLEX IOT solutions. Aplex Te…
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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.