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Apacer Technology Inc (8271) Fair Value & Analysis

Technology · TW · Market cap 28.4B TWD

Price203.50 TWD
Fair Value75.76 TWD
Upside-62.8%
Quality93/100
Evidence: High Range 66.13 TWD – 132.31 TWD

Analysis

Apacer Technology Inc (8271) currently trades at 203.50 TWD, while our model-based Fair Value estimate is 75.76 TWD — implying the stock looks roughly 62.8% overvalued today. We read business quality at 93/100 (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

Apacer Technology Inc. researches, designs, develops, manufactures, processes, repair, and sells memory modules and storage memory devices in Taiwan, Hong Kong, Mainland China, the United States, Japan, and internationally. The company offers solid-state drive (SSD) products, such as PCIe SSD, SATA/PATA, industrial USB and card, eMMC, and specialty SSD products; and dynamic random access memory (DRAM) products, including embedded memory, server/workstation, low profile, wide temperature, anti-sulfuration, lead-free, and rugged memory for rugged system, factory automation, casino gaming, healthcare, server and networking, transportation, surveillance, and retail devices applications. It also provides personal and business products comprising memory card, flash drive, and external storage, and eMMC; and gaming and smart IoT products. Apacer Technology Inc. was incorporated in 1997 and is headquartered in New Taipei 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.