CSG Smart Science&Technology Co (300222) Fair Value & Analysis
Industrials · CN · Market cap 11.1B CNY
Analysis
CSG Smart Science&Technology Co (300222) currently trades at ¥15.21, while our model-based Fair Value estimate is ¥1.76 — implying the stock looks roughly 88.4% overvalued today. We read business quality at 86/100 (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
CSG Smart Science&Technology Co.,Ltd. provides power distribution and energy storage system products and solutions to power grid companies and energy intensive enterprises in China. It operates in Digital Energy and Intelligent Robots segments. The company provides distribution power supply solutions, such as PV-storage-charging solutions, pole mounted circuit breakers, environmental RMUs, insulated and sealed RMUs, low-voltage circuit breakers for distributed photovoltaic grid connection, distributed fault monitor devices for transmission lines, smart electricity meters, active harmonic filters, micro-PMU power line sensors, and overhead remote fault indicators; and PV-storage-charging solutions, including EV and integrated DC chargers, as well as energy storage systems. It also offers power distribution, commercial and industrial, residential storage, and combined energy generation and storage micro-grid system solutions. The company was formerly known as Shanghai CSG Smart Scienc…
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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.