ROPEOK Technology Group (688619) Fair Value & Analysis
Technology · CN · Market cap 2.8B CNY
Fair value as of: Jun 24, 2026
Analysis
ROPEOK Technology Group (688619) currently trades at ¥17.74, while our model-based Fair Value estimate is ¥10.79 — implying the stock looks roughly 39.2% overvalued today. We read business quality at 92/100 (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
ROPEOK Technology Group Co., Ltd. designs and implements security system solutions and services in China. The company develops, sells, operates, and maintains security video surveillance products; and provides other services. It offers structured, face, traffic, and web cameras, and dual light thermometers; multi-modal, integrated storage and computing, mobile sensing, and IoT smart terminals; and edge computing units. In addition, the company provides Portrait AI Platform, a cloud platform that combines AI and big data; Vehicle AI Platform for vehicle inspection and violation detection; Multidimensional AI Platform for multi-dimensional fusion and holographic search; View library system to integrate vehicle, portrait, crime, and event data; 3D AI Stereo Platform to build a practical digital map; and Roput Video Integrated Management Platform that provides unified access, secure storage, and centralized management of video data. Further, it provides AI operation and maintenance plat…
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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.