Harbin Jiuzhou Group (300040) Fair Value & Analysis
Industrials · CN · Market cap 4.1B CNY
Analysis
Harbin Jiuzhou Group (300040) currently trades at ¥6.22, while our model-based Fair Value estimate is ¥1.34 — implying the stock looks roughly 78.5% overvalued today. We read business quality at 94/100 (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
Harbin Jiuzhou Group Co.,Ltd. manufactures and supplies electrical equipment and energy efficiency management solutions in China and internationally. The company offers power products, including batteries; and power quality management products, comprising high and low voltage reactive power compensation products. It also provides transformers and reactors, prefabricated box types, busbars and bridges, terminals, and distribution automation products; low voltage switch complete set equipment; medium voltage switchgears comprising gas insulated medium voltage and air insulation medium voltage switchgears; and electrical components that include medium voltage switching components and low voltage dual power transfer switches. In addition, the company offers high-voltage motor drive products, including high voltage and low voltage soft starters, and high and low voltage inverters; new energy grid-connected converters and supporting products, such as megawatt level wind power converters; …
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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.