Taiwan Secom Co (9917) Fair Value & Analysis
Industrials · TW · Market cap 54.2B TWD
Analysis
Taiwan Secom Co (9917) currently trades at 106.00 TWD, while our model-based Fair Value estimate is 136.90 TWD — implying the stock looks roughly 29.2% undervalued today. We read business quality at 92/100 (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
Taiwan Secom Co., Ltd. provides security services in Taiwan. The company manufactures, processes, and sells security-related system equipment and parts. It also offers corporate and building security guarding services; in-flight catering and catering services; and air cargo transporting, building management, aviation, telecom network, car parking lot, light controlling system, information security, and technology support services. In addition, the company sells electric, telecommunication, and fireproof products; produces and sells instant food; connects police-citizens; distributes media and movies; retails POS systems; provides energy-saving solutions technology; and rents mini-storage. Further, it wholesales and installs fire safety equipment; develops and invests in video content; develops media content; operates an information management platform; sells digital signage and monitors; and retails and rents medical equipment, as well as acts as an insurance and custom broker. Addi…
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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.