Jilin University Zhengyuan Information Technologies Co (003029) Fair Value & Analysis
Technology · CN · Market cap 3.5B CNY
Analysis
Jilin University Zhengyuan Information Technologies Co (003029) currently trades at ¥17.67, while our model-based Fair Value estimate is ¥16.08 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 89/100 (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
Jilin University Zhengyuan Information Technologies Co., Ltd. provides commercial cryptography technology and network security solutions in China. It offers infrastructure products, such as public key infrastructure, hardware security module, and directory management system; security support services, including digital signature and timestamp server, authentication gateway, and audit query system; and security applications comprising rock terminal security and electronic signature systems. The company also offers LTE network security application solution; construction of national PKI certification system; PKI technology solution for customs business platform; and security solution of tax electronic bill based on PKI/CA. In addition, it provides security system planning, risk assessment, and penetration testing services; and security consulting and integration, and industry application development services. The company was founded in 1999 and is based in Beijing, China.
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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.