Star Fusion Group (6111) Fair Value & Analysis
Communication Services · TW · Market cap 4.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Star Fusion Group (6111) currently trades at 43.75 TWD, while our model-based Fair Value estimate is 64.80 TWD — implying the stock looks roughly 48.1% undervalued today. We read business quality at 80/100 (high quality), in the Communication Services 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
Star Fusion Group Co., Ltd., together with its subsidiaries, develops, distributes, and sells gaming software in Taiwan. The company engages in the operation and licensing of online games. It also provides professional marketing strategies and planning, big data analysis services, and precise digital advertising placements across various media platforms; and collection tools for credit and debit card, supermarket, and overseas payments; cybersecurity services. In addition, the company manufactures circuit board; and produces electrical equipment, as well as offers mobile charging pole under the E-Hero Mobile Charging Robot brand name. Further, it provides semiconductor components and software; and lubricated aluminum entry plates for drilling, multilayer boards, and phenolic resin boards. Additionally, the company invests in the beauty and skincare product sector; and produces and sells application delivery controllers and secure sockets layer virtual private networks. The company w…
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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.