Chongqing Zongshen Power Machinery Co (001696) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 25.0B CNY
Analysis
Chongqing Zongshen Power Machinery Co (001696) currently trades at ¥24.03, while our model-based Fair Value estimate is ¥12.79 — implying the stock looks roughly 46.8% overvalued today. We read business quality at 90/100 (high quality), in the Consumer Cyclical 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: high).
About the company
Chongqing Zongshen Power Machinery Co.,Ltd, together with its subsidiaries, engages in the research, development, manufacturing, and sale of small and medium-sized power machinery products, and end-products in China and internationally. The company operates through Engines; General Machinery; Parent Company and Products Parts; and Supply Chain Finance segments. It offers motor engines; and general machinery products, such as welding stations, high pressure cleaners, clean water pumps, motorhome generators, general purpose gasoline engine, countryside steward shepherd, mini tiller, parking generator, and heavy truck starting lithium battery. The company also provides components, including gearbox housing, cylinder block, clutch housing, and right and left side of gearboxes, as well as electric drive system, electric motor powertrain, and electric motor powertrain components; and box assembly, box body, box cover, cylinder head assembly for motorcycles. In addition, it offers general …
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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.