Hillstone Networks Co (688030) Fair Value & Analysis
Technology · CN · Market cap 2.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Hillstone Networks Co (688030) currently trades at ¥17.11, while our model-based Fair Value estimate is ¥12.17 — implying the stock looks roughly 28.9% 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: low).
About the company
Hillstone Networks Co.,Ltd. provides an infrastructure protection solutions to enterprises and service providers. The company provides edge protection solutions; cloud protection and security management solutions; breach protection solutions; and application delivery controller solution, as well as technical support and training services. It offers zero-trust network access; extended detection and response; cloud workload protection; secure SD-wan; network detection and response; and micro-segmentation for cloud data centers solutions. In addition, the company provides border security, cloud security, intranet security, data security, business security, intelligent security operation, security service, and security operation and maintenance services. The company serves safeguarding telcos and ISPs; fortifying financial services; enhancing security in higher education; and defending government agencies industries. Hillstone Networks Co.,Ltd. was founded in 2006 and is headquartered i…
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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.