Shanghai Shentong Metro Co (600834) Fair Value & Analysis
Industrials · CN · Market cap 3.4B CNY
Analysis
Shanghai Shentong Metro Co (600834) currently trades at ¥6.95, while our model-based Fair Value estimate is ¥2.39 — implying the stock looks roughly 65.6% 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
Shanghai Shentong Metro Co.,Ltd. engages in the public transportation operation and maintenance management business in China. It operates through Financial Leasing and Commercial Factoring; Photovoltaic and Energy Conservation; Public Transportation Operation and Management; and Comprehensive Property Services segments. The company offers operation and maintenance management services for driverless subways, airport rapid transit systems, and trams; and property services. It also engages in investments in distributed photovoltaic and charging pile projects; energy-saving renovation projects; station property and train environment management; integrated production management of station facilities and equipment; rail transit investment; enterprise management and business consulting; financial leasing, sale, and leaseback; and commercial factoring activities. The company was formerly known as Shanghai Lingqiao Water Supply Co., Ltd. The company was founded in 1992 and is headquartered i…
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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.