China Railway Materials Company (000927) Fair Value & Analysis
Industrials · CN · Market cap 15.1B CNY
Analysis
China Railway Materials Company (000927) currently trades at ¥2.43, while our model-based Fair Value estimate is ¥2.09 — implying the stock looks roughly 14.0% overvalued today. We read business quality at 88/100 (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
China Railway Materials Company Limited provides material supply chain management services for rail transit industry in China. It offers supply chain integration services for railway diesel and lubricating oils; rail operation and maintenance services, such as procurement and supply, quality supervision, transportation organization, operation and maintenance, intelligent manufacturing, digital services, and welding processing; and railway equipment, including wheels, axles, bearings, couplers, buffers, braking devices, and other running parts, as well as H and B-shaped steel products, bamboo flooring, high-speed rail glasses, and other vehicle materials. The company also engages in the integrated railway logistics and dangerous goods logistics business; centralized procurement of railway construction materials; bidding agency business; and railway engineering material supply business. In addition, it offers clinkers, finished cement and commercial concrete products, sleepers, elasti…
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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.