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Macnica Galaxy Inc (6227) Fair Value & Analysis

Technology · TW · Market cap 9.6B TWD

Price119.50 TWD
Fair Value128.79 TWD
Upside+7.8%
Quality94/100
Evidence: High Range 69.38 TWD – 165.82 TWD

Fair value as of: Jun 24, 2026

Analysis

Macnica Galaxy Inc (6227) currently trades at 119.50 TWD, while our model-based Fair Value estimate is 128.79 TWD — implying the stock looks roughly 7.8% undervalued today. We read business quality at 94/100 (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: high) — always confirm before acting.

About the company

Macnica Galaxy Inc., together with its subisidaries, engages in the agency trading and technical service of semiconductor electronic components in Taiwan, rest of Asia, and internationally. The company distributes semiconductors, AI, IoT, CAE simulation software, AI-powered commercial service robots, and industrial-grade robotic arms. It also exports and imports electronic and electrical components, as well as finished products. The company serves the server, IoT, communication, industrial electronics, automotive, and smart factory sectors. The company was founded in 1979 and is based in New Taipei City, Taiwan. Macnica Galaxy Inc. is a subsidiary of Macnica Chungju Co., Ltd.

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Frequently asked questions

Is Macnica Galaxy Inc (6227) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 128.79 TWD versus a price of 119.50 TWD — about +8% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6227?
Our 21-model fair value for Macnica Galaxy Inc is 128.79 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 119.50 TWD.
What is the quality score of 6227?
Macnica Galaxy Inc has a Quality Score of 94/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.