WuHan Yangtze Communication Industry GroupCo.,Ltd (600345) Fair Value & Analysis
Technology · CN · Market cap 18.9B CNY
Analysis
WuHan Yangtze Communication Industry GroupCo.,Ltd (600345) currently trades at ¥71.26, while our model-based Fair Value estimate is ¥9.75 — implying the stock looks roughly 86.3% 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
WuHan Yangtze Communication Industry GroupCo.,Ltd provides Beidou applications, smart traffic management, smart transportation, and smart city applications in China. The company offers vehicle mounted terminal series products, vehicle online monitoring system, and application service of vehicle online monitoring system; and public security traffic control cloud whistle integrated combat platform, public security traffic management video private network integrated command platform, highway intelligent traffic prevention and control platform, and urban traffic safety monitoring management and control service platform. It also provides smart delivery solutions, including traffic integrated information management system, smart highway management service platform, rural road information management system, water transportation information platform, comprehensive highway control system, and transportation enterprise safety production cloud supervision platform; and smart city solutions, su…
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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.