Wuhan Ligong Guangke Co (300557) Fair Value & Analysis
Industrials · CN · Market cap 5.0B CNY
Analysis
Wuhan Ligong Guangke Co (300557) currently trades at ¥34.07, while our model-based Fair Value estimate is ¥9.24 — implying the stock looks roughly 72.9% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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
Wuhan Ligong Guangke Co., Ltd. provides optical fiber sensor products and Internet of Things (IoT) application system solutions in the fields of security and fire protection in China. The company offers IoT products and solutions, including smart fire protection, smart structure, and smart security. It also provides oil tank fire alarms, tunnel fire alarms, smart pipeline gallery and intelligent monitoring systems, intelligent perimeter intrusion alarm systems, intelligent bridge structure health monitoring systems, fire alarm systems and services, intelligent pavement systems, long-distance pipeline safety monitoring systems, and early warning systems. The company's products are used in the petroleum and petrochemical, electricity, and transportation industries, as well as in fire monitoring of oil and gas storage tanks, traffic tunnels, perimeter intrusion alarms, bridge structure health monitoring and comprehensive management and maintenance, equipment status monitoring and fault…
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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.