Win Win Precision Technology Co (4949) Fair Value & Analysis
Technology · TW · Market cap 6.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Win Win Precision Technology Co (4949) currently trades at 90.50 TWD, while our model-based Fair Value estimate is 46.51 TWD — implying the stock looks roughly 48.6% overvalued today. We read business quality at 95/100 (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
Win Win Precision Technology Co., Ltd., together with its subsidiaries, engages in the research, development, manufacturing, and sales of semiconductor components and solar photovoltaic modules in Taiwan, Europe, and internationally. It operates in two segments, Solar Business Group and Semiconductor Business Group. The company provides system design, plan, and integration services. It is also involved in the manufacturing, sale, and maintenance of consumable components for semiconductor and optoelectronic industry production equipment. In addition, the company designs and develops solar energy system; investment and management consulting services; and operates solar power plant. Further, it offers Ion implantation machine and chemical vapor deposition equipment; component development solution; technological energy; and repair services, as well as corporate energy transition and high-efficiency solar modules. The company was incorporated in 2003 and is headquartered in Hsinchu City,…
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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.