Beijing Jingcheng Machinery Electric Company (600860) Fair Value & Analysis
Industrials · CN · Market cap 4.8B CNY
Analysis
Beijing Jingcheng Machinery Electric Company (600860) currently trades at ¥8.63, while our model-based Fair Value estimate is ¥8.62 — implying the stock looks roughly 0.1% overvalued today. We read business quality at 80/100 (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: low).
About the company
Beijing Jingcheng Machinery Electric Company Limited manufactures and sells gas storage and transportation equipment in the People's Republic of China and internationally. It primarily offers liquefied natural gas (LNG) cylinders for vehicles, compressed natural gas (CNG) cylinders for vehicles, seamless steel gas cylinders, welded insulated cylinders, carbon fiber full wound composite cylinders, aluminum-lined carbon fiber fully wound composite cylinders for fuel cells, plastic-lined carbon fiber fully wound composite cylinders, and gas station equipment. The company also provides ground conveyor assembly systems, overhead conveyor systems, robot integration applications, and stamping connecting products, non-standard automated special-purpose machines, etc. In addition, it is involved in the production and sales of gas cylinders, pressure vessels and related equipment, etc.; import and export trade, consultancy, and other services; and robots and automated equipment. The company's…
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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.