Taiyuan Heavy Industry Co (600169) Fair Value & Analysis
Industrials · CN · Market cap 7.5B CNY
Analysis
Taiyuan Heavy Industry Co (600169) currently trades at ¥2.05, while our model-based Fair Value estimate is ¥1.20 — implying the stock looks roughly 41.5% overvalued today. We read business quality at 89/100 (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
Taiyuan Heavy Industry Co., Ltd. manufactures and sells heavy-duty machinery in China. It offers railway wheels, axles, gearboxes, wheelsets, and tunnel boring machines; mining shovels and hydraulic excavators, semi-mobile crushing stations, self-mobile crushing stations, spreaders, discharging cars, crawler transporters, and belt conveyors; heavy duty and special cranes, and dry quenching lifters; seamless steel tube, plate and strip rolling mill and finishing, oil film bearing, coke oven and converter tilting equipment, plate correcting, and steel pipe welding equipment; and extrusion, forging hydraulic, punching hydraulic, and special purpose hydraulic presses. The company also provides wind turbine, cranes and forgings for nuclear power stations, and nuclear vessels; jack-up drilling platforms, lift-boats, port machinery, and hydraulic pile driving hammers; and coal chemical and petrochemical products, sea water desalinization, and coal-based direct iron reduction. In addition, …
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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.