Spectrum Electrics Corporation (5381) Fair Value & Analysis
Technology · TW · Market cap 5.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Spectrum Electrics Corporation (5381) currently trades at 28.20 TWD, while our model-based Fair Value estimate is 20.52 TWD — implying the stock looks roughly 27.2% 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: medium).
About the company
Spectrum Electrics Corporation, together with its subsidiaries, engages in the research, design, development, manufacture, lamination, processing, sale, and trading of multilayer laminated substrates and various electronic components in Taiwan, rest of Asia, and Europe. It operates through Electronic Products Department, Beauty Products Department, Investment Department, and Distribution Machinery Manufacturing Department segments. The company offers multilayer printed circuit boards, copper clad laminates, drilling lubricating aluminum cover plates, multi-layer laminate base plates, and environmentally friendly melamine boards. It is also involved in the manufacture and sale of beauty and skincare products, as well as transformers and distribution panels; investment business; and wholesale of electronic equipment. The company was formerly known as Uniplus Electronics Co., Ltd. and changed its name to Spectrum Electrics Corporation in December 2025. Spectrum Electrics Corporation wa…
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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.