Venustech Group (002439) Fair Value & Analysis
Technology · CN · Market cap 15.8B CNY
Fair value as of: Jun 25, 2026
Analysis
Venustech Group (002439) currently trades at ¥13.35, while our model-based Fair Value estimate is ¥2.83 — implying the stock looks roughly 78.8% 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: medium).
About the company
Venustech Group Inc. provides network security products, trusted security management platforms, and specialized security services and solutions worldwide. It provides Venusense Traffic Anomaly Detection and Mitigation System, an anti-DDOS security defense system; NGFW; unified threat management products; web application firewall; application delivery controller products; unified security management platform; intrusion prevention system; industrial firewall; privilege access manager device; network access control products; and network traffic analysis products. The company also offers penetration test, vulnerability assessment, configuration verification services; security operation center; and threat intelligence center. It serves government, telecom carrie, financial service, industrial control, SME, rail transit, municipal utility, smart manufacturing, media, and technology industries. The company was formerly known as Beijing Venustech Inc. Venustech Group Inc. was founded in 199…
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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.