Nanjing Bestway Intelligent Control Technology Co (301195) Fair Value & Analysis
Technology · CN · Market cap 4.6B CNY
Analysis
Nanjing Bestway Intelligent Control Technology Co (301195) currently trades at ¥33.06, while our model-based Fair Value estimate is ¥20.21 — implying the stock looks roughly 38.9% 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
Nanjing Bestway Intelligent Control Technology Co., Ltd. engages in the development, production, and sales of intelligent mine related information systems. It offers software and hardware integrated information and intelligent comprehensive solutions, including overall solution design, software and hardware product development, information system integration, and related technical services. The company also provides coal mining products, such as intelligent mine communication system, intelligent mine monitoring system, intelligent mine control system, intelligent mining equipment supporting, and other intelligent systems; non-coal mining products, which includes mine positioning and monitoring system, mine video intelligent monitoring system, communication system, unattended solution, transportation and safety management system, and management and control platform and other system; and chemistry industry systems comprising stereo fusion positioning, emergency broadcast, industrial 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.