CIMC Vehicles (Group) Co (301039) Fair Value & Analysis
Industrials · CN · Market cap 11.0B CNY
Analysis
CIMC Vehicles (Group) Co (301039) currently trades at ¥7.19, while our model-based Fair Value estimate is ¥13.05 — implying the stock looks roughly 81.5% undervalued today. We read business quality at 92/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
CIMC Vehicles (Group) Co., Ltd. designs, manufactures, sells, and services semi-trailers worldwide. The company engages in the wholesale and retail of vehicles, auto parts, and metal materials; processing and manufacture of general mechanical products; and metal structures and related businesses. It also provides chassis, tractors, related spare parts, trailers and accessories, auto parts, containers, folding containers, tank containers, composite material products, tank trucks, and automobile trailers. In addition, the company develops, produces, and sells various special vehicles, modified vehicles, transport vehicles, mechanical products, and metal structure parts. Further, it engages in the sale of automobiles, trams, auto parts, metal materials, hardware products, electronic equipment, mechanical equipment, and chemical products; import and export of goods and technologies; operation of highways and parking lots; land freight transportation; domestic freight forwarding; and lea…
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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.