Waffer Technology Corporation (6235) Fair Value & Analysis
Industrials · TW · Market cap 8.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Waffer Technology Corporation (6235) currently trades at 40.50 TWD, while our model-based Fair Value estimate is 60.91 TWD — implying the stock looks roughly 50.4% undervalued today. We read business quality at 93/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
Waffer Technology Corporation engages in the production and sale of magnesium aluminum alloy molded products in the Mainland of China, Taiwan, Vietnam, Germany, the United States, and internationally. The company's products include cosmetic and internal parts for notebooks; handheld scanners and mobile phone; camera, video cam, projector, and monitoring optical parts; and auto parts, as well as other products, such as wearable, tools, sports, and others. It is also involved in the provision of light-metal solution of magnesium and aluminum alloy, mold and tooling research and development, magnesium alloy injection and die-casting, CNC, and painting and assembly of vertical integration OEM/ODM processing services. Additionally, the company manufactures and processes automotive aluminum alloy die-cast tools, 3C product magnesium injection tools, other light metal die-casting tools, and fixtures and gauges. It serves medical, industrial, telecommunications, construction, automotive, sp…
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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.