Weaver Network Technology Co (603039) Fair Value & Analysis
Technology · CN · Market cap 14.7B CNY
Analysis
Weaver Network Technology Co (603039) currently trades at ¥38.18, while our model-based Fair Value estimate is ¥18.08 — implying the stock looks roughly 52.6% 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
Weaver Network Technology Co., Ltd. engages in the research and development, sale, and service of collaborative management and mobile office software products in China. It offers e-cology, a platform for medium and large organizations; e-office for standardized mobile office applications for small and medium-sized organizations; eteams, a mobile office cloud service platform; and digital office platform; business-specific management platform; low-code development platform for e-builder low-code platform; digital trusted platform for providing functions, such as electronic signatures, digital identity authentication, digital seal control, and digital evidence storage; and government information technology innovation platform. The company serves manufacturing, real estate, software and Internet, financial, energy and chemical, electronic, telecommunications, automotive, media and entertainment, textile and shoes and apparel, catering and chain industries. Weaver Network Technology Co.…
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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.