Microcosm Technology Co (3354) Fair Value & Analysis
Technology · TW · Market cap 1.9B TWD
Fair value as of: Jun 24, 2026
Analysis
Microcosm Technology Co (3354) currently trades at 28.20 TWD, while our model-based Fair Value estimate is 33.90 TWD — implying the stock looks roughly 20.2% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Microcosm Technology Co., Ltd., together with its subsidiaries, engages in the development, production, and innovation of FCCL and functional polyimide materials in Taiwan, Malaysia, China, and internationally. It operates through FPC Division and Others segments. The company offers display materials comprising customized colorless PI varnishes, low retardation and bending-resistant colorless PI films, high modulus colorless PI films, and transparent composite application materials; semiconductor materials consisting of negative-type photosensitive polyimide and positive-photosensitive polybenzoxazole; and ion exchange membrane products, including proton and anion exchange membranes. It also provides FPCB/PCB materials, such as liquid photosensitive PI insulation protective materials, film-type m-SAP build-up materials, liquid photosensitive SAP build-up materials, 5G high-speed FPC materials, alkali-removable process protection materials, yellow cover layers, bonding sheets, and ad…
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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.