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Scientech Corporation (3583) Fair Value & Analysis

Technology · TW · Market cap 64.5B TWD

Price858.00 TWD
Fair Value284.18 TWD
Upside-66.9%
Quality93/100
Evidence: High Range 189.93 TWD – 355.79 TWD

Analysis

Scientech Corporation (3583) currently trades at 858.00 TWD, while our model-based Fair Value estimate is 284.18 TWD — implying the stock looks roughly 66.9% 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

Scientech Corporation engages in the research and development, production, sale, and maintenance of process equipment for semiconductors, liquid crystal displays (LCDs), light-emitting diodes (LEDs), and solar power generation industries. The company offers chemical analysis and biotechnology equipment; remote control system; camera lens; flat panel display; mask/reticle and semiconductor front-end process equipment; MEMS/compound semiconductor/LED products; semiconductor packaging and testing equipment; 3D printing equipment; and wet benches/single wafer wet process equipment, and temporary bonding/de-bonding/glass recycle tools. It serves semiconductor (front-end, back-end, and GaAs), flat panel display, LED, data storage, scientific instruments, and high-tech related industries. The company was incorporated in 1979 and is based in Taipei, 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.