Cangzhou Mingzhu Plastic Co (002108) Fair Value & Analysis
Industrials · CN · Market cap 8.1B CNY
Analysis
Cangzhou Mingzhu Plastic Co (002108) currently trades at ¥4.77, while our model-based Fair Value estimate is ¥1.58 — implying the stock looks roughly 66.9% 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: medium).
About the company
Cangzhou Mingzhu Plastic Co.,Ltd., together with its subsidiaries, manufactures and sells PE pipe systems, BOPA films, Li-ion battery separators, and composite pipes in China. The company offers PE gas and water supply pipelines, PE nuclear power/large diameter thick wall PE pipelines, PE fittings, and ground source heat pump heat exchange piping systems; dry uni-axial stretching, wet simultaneous biaxial stretching, and coated modified separators; and fiber-reinforced thermoplastic pipes for oil and gas transportation, intelligent cable-embedded coiled pipes, and connection of pipes for oil and gas transportation and intelligent cable-embedded continuous pipes. It also produces polyamide films, chips, and other plastic products; installation and technical services; microporous and filtration membranes; double-wall corrugated pipes and fittings for drainage and sewage; silicone pipes and fittings; plastic packaging containers and tools; and synthetic materials. In addition, the comp…
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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.