Leo Systems, Inc (5410) Fair Value & Analysis
Technology · TW · Market cap 4.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Leo Systems, Inc (5410) currently trades at 44.40 TWD, while our model-based Fair Value estimate is 39.69 TWD — implying the stock looks roughly 10.6% 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
Leo Systems, Inc. engages in the sale of information hardware and software products, software planning and design, and computer hardware maintenance services in Taiwan. The company provides technology applications, such as AI, 5G, and AIoT applications; digital transformation services comprising system integration, cloud-based office tools, information security, access control and security management, information product sales, AI- one stop, maintenance services; smart enterprise, education, and manufacturing services. It also offers multimedia audio-visual integrated marketing solutions, global online and yahoo keyword advertising marketing, integrated marketing, and information services. In addition, the company provides investment business services; personal computer sales; electrical appliances and electronics; sub-materials retail and wholesale; and computer system design services. Further, it offers data centers, and computerization and automation in the financial industry, as…
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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.