Zhong Fu Tong Group (300560) Fair Value & Analysis
Communication Services · CN · Market cap 4.2B CNY
Analysis
Zhong Fu Tong Group (300560) currently trades at ¥20.55, while our model-based Fair Value estimate is ¥8.40 — implying the stock looks roughly 59.1% overvalued today. We read business quality at 94/100 (high quality), in the Communication Services 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: low).
About the company
Zhong Fu Tong Group Co., Ltd. provides communication network construction, maintenance, and optimization services in China. It provides communication network construction, maintenance, and optimization services for telecom operators, communication equipment vendors, radio, and television networks; and technical services, such as communication network engineering construction, construction integration, operation management, fault repair and daily maintenance, and technical services. The company also offers informatization software services. In addition, the company provides smart population; smart public security; smart terminals; and security brain overall solution. In addition, it offers DomeMind is a multi-scenario intelligent service platform with AI technology. Further, the company provides smart building management platform, metaverse online exhibition hall platform, metaverse conference platform, enterprise metaspace exhibition hall; and Red Matrix AI Xiaohongshu matrix custom…
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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.