BeijingABT Networks Co (688168) Fair Value & Analysis
Technology · CN · Market cap 7.0B CNY
Analysis
BeijingABT Networks Co (688168) currently trades at ¥69.30, while our model-based Fair Value estimate is ¥27.47 — implying the stock looks roughly 60.4% 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: low).
About the company
BeijingABT Networks Co.,Ltd. develops and provides visualized network security technology solutions in China. It develops and operates Security Platform Operation System (SPOS). The company also offers various network security products, including embedded security gateways, which include next-generation firewalls and network behavior management and auditing components; and virtualized security gateway products that are used in cloud computing and large data centers, as well as security management, full-flow security, data security, cloud security, and security services for network security defense control, network monitoring, and early warning. In addition, it provides SPOS-Base products, including converged application and deep security gateways, NFV virtual security resources pool, and intrusion detection and defense systems; SPOS-Trace products, such as policy and traffic visualization platform; SPOS-App products comprising data analysis and operation platform, Web app vulnerabil…
Open the full interactive analysis →
Similar stocks
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.