Genesis Technology, Inc (6221) Fair Value & Analysis
Technology · TW · Market cap 4.0B TWD
Fair value as of: Jun 25, 2026
Analysis
Genesis Technology, Inc (6221) currently trades at 23.40 TWD, while our model-based Fair Value estimate is 44.93 TWD — implying the stock looks roughly 92.0% 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: high) — always confirm before acting.
About the company
Genesis Technology, Inc., together with its subsidiaries, engages in sales, installation, and maintenance of information software, computer equipment, and telecommunications equipment, as well as information system integration services in Taiwan. The company offers data center solutions, including software defined data center, corporate data storage application, enterprise core system optimization, corporate digital asset protection, and security digital working area; information security solutions, such as information security fundamental construction, malware defense, factory information security protection, remote office security, and cloud service security; smart communication digital cooperation; GeCloud; smart manufacturing; and security and surveillance solutions. Additionally, it provides consulting services, such as online or offline seminars, concept and value verification, consulting and planning, and detailed design services, as well as professional services, including f…
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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.