Zkteco Co (301330) Fair Value & Analysis
Industrials · CN · Market cap 6.5B CNY
Analysis
Zkteco Co (301330) currently trades at ¥27.92, while our model-based Fair Value estimate is ¥20.23 — implying the stock looks roughly 27.5% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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
Zkteco Co., Ltd. provides biometric solutions and AI cognitive spatial intelligence technologies. It operates through Smart Space Products, Smart Office Products, Digital Identity Authentication Products, Smart Business Products, and Smart Living Products segments. The Smart Space Business Products segment provides AI cognitive space computing technology and multi-dimensional perception capabilities that enables intelligent management of people, vehicles, objects, and the environment. The Smart Office Products segment offers intelligent solutions for time management, security management, and operation optimization for corporate customers in scenarios, such as visitors, meetings, and consumption. This segment also integrates AI agents and cloud technology to create intelligent time management solutions and a one-stop intelligent office ecosystem. The Digital Identity Authentication Products Segment provides a digital identity authentication system that integrates multimodal BioCV, bi…
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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.