Sangfor Technologies Inc (300454) Fair Value & Analysis
Technology · CN · Market cap 42.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Sangfor Technologies Inc (300454) currently trades at ¥102.29, while our model-based Fair Value estimate is ¥16.46 — implying the stock looks roughly 83.9% 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
Sangfor Technologies Inc. provides IT infrastructure, cloud computing, and network security solutions in China and internationally. The company offers cyber security products, including Sangfor Network Secure Firewall platform; Sangfor Cyber Command, an intelligent threat detection and response platform; Sangfor Endpoint Secure for extensive malware protection; Internet Access Gateway, a securely manage internet access; SASE Sangfor Access Secure, a cloud-based SASE for branch offices and remote users; Sangfor Platform-X, a cloud-based security management platform, a secure remote access solution that allows to access Windows desktops and applications from any device or operating system; and Sangfor SSL VPN solution provides support for remote user access to the enterprise network from anywhere Internet-enabled location. It also provides cloud and infrastructure products, such as Sangfor hyperconverged infrastructure, a unified system of data storage; Sangfor cloud platform, an ente…
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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.