Wencan Group (603348) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 4.7B CNY
Analysis
Wencan Group (603348) currently trades at ¥14.39, while our model-based Fair Value estimate is ¥24.87 — implying the stock looks roughly 72.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.
About the company
Wencan Group Co., Ltd. engages in the research and development, production, and sale of aluminum alloy precision castings in China and internationally. It offers integrated body systems, such as monocoque front end, split front end, integrated side panel, and semi-monocoque rear floor and rear assembly; body structural system, including A pillar, door panel, front shock absorber, rear longitudinal beam, and torque box; battery housing system comprising battery housing assembly, battery housing component, and hybrid battery housing box; and new energy power system, which includes three-in-one motor housing, range-extender motor housing, range-extender motor housing end cover, front box, intermediate housing, and left housing. The company also provides chassis systems, such as front subframe, rear subframe, semi-split front subframe, semi-split rear subframe, and chassis connecting parts; brake system, including caliper, fixed monobloc caliper, vacuum booster master cylinder, and floa…
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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.