Hainan Jinpan Smart Technology Co (688676) Fair Value & Analysis
Industrials · CN · Market cap 37.0B CNY
Analysis
Hainan Jinpan Smart Technology Co (688676) currently trades at ¥92.35, while our model-based Fair Value estimate is ¥24.43 — implying the stock looks roughly 73.5% overvalued today. We read business quality at 95/100 (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: high).
About the company
Hainan Jinpan Smart Technology Co., Ltd. engages in the research and development, production, sale, and servicing of power transmission and distribution, and control equipment products in China. The company offers dry-type transformers and reactors; medium and low voltage switchgears; power electronics equipment comprising integrated photovoltaic inverter grid-connected devices, integrated intelligent photovoltaic box-type transformers, integrated energy storage, and high voltage static dynamic reactive power compensation devices; and box-type substations. It also provides digital overall solutions, such as digital factory consulting and planning, dry-time digital factory overall solution, digital factory solutions, manufacturing execution systems, modern factory logistics transportation technologies, smart charging systems, and 5G cloud AGV products; intelligent warehousing and logistics systems; and electrochemical energy storage systems and high voltage cascade direct-mounted ene…
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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.