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Etron Technology, Inc (5351) Fair Value & Analysis

Technology · TW · Market cap 28.9B TWD

Price91.00 TWD
Fair Value36.03 TWD
Upside-60.4%
Quality94/100
Evidence: Low Range 27.02 TWD – 45.03 TWD

Analysis

Etron Technology, Inc (5351) currently trades at 91.00 TWD, while our model-based Fair Value estimate is 36.03 TWD — implying the stock looks roughly 60.4% overvalued today. We read business quality at 94/100 (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: low).

About the company

Etron Technology, Inc. design, production, and sells of various integrated circuits in Taiwan, Asia, and internationally. The company offers commercial DRAMs (dynamic random access memory) for high bandwidth and low-power consumption products, including computer peripheral, communication, and consumer products; industrial DRAMs that are used in surveillances, point of sale systems, smart meters, programmable logic controllers, and human-machine interface platforms; innovative DRAMs for AI, 5G, cloud computing, and automotive; and automotive DRAMs for use in CDs, DVDs, automotive HDDs, navigation products, instrument clusters, audios, automotive cameras, automotive infotainments, and advanced driver assistance systems. It also provides known-good-die-memory integrated circuits and flash memory products; USB connectivity; and 3D sensing solutions. Etron Technology, Inc. was founded in 1991 and is headquartered in Hsinchu City, 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.