Foshan Golden Milky Way Intelligent Equipment Co (300619) Fair Value & Analysis
Industrials · CN · Market cap 7.0B CNY
Analysis
Foshan Golden Milky Way Intelligent Equipment Co (300619) currently trades at ¥40.29, while our model-based Fair Value estimate is ¥5.95 — implying the stock looks roughly 85.2% overvalued today. We read business quality at 91/100 (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
Foshan Golden Milky Way Intelligent Equipment Co., Ltd. engages in the research, development, design, manufacture, and sale of automated production equipment for organic silicon polymer compound and lithium battery manufacturers in China and internationally. It offers energy equipment and chemical material equipment, including lithium battery continuous pulping equipment; silicone materials, such as high-temperature vulcanized silicone rubber, liquid silicone rubber, and electronic industry glue; battery-grade lithium carbonate and lepidolite resource; fine chemicals, such as water-based resin, modified silicone oil, liquid silicone rubber, 110 raw rubber, and other new chemical materials; and powder equipment, including weighing and batching equipment, kiln external line equipment, graphite chemical section equipment, spray drying equipment, and other ultra-fine powder equipment. The company was founded in 2002 and is headquartered in Foshan, China.
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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.