Hebei Keli Automobile Equipment Co (301552) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Hebei Keli Automobile Equipment Co (301552) currently trades at ¥24.28, while our model-based Fair Value estimate is ¥25.09 — implying the stock looks roughly 3.3% 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: high) — always confirm before acting.
About the company
Hebei Keli Automobile Equipment Co., Ltd. engages in the research and development, production, and sale of automotive glass assembly components in China and internationally. The company's products portfolio includes windshield glass installation components, such as locator pins, windshield lace, bottom profiles, spacers, and camera/rain sensors; side window glass lift components, including injection holders, aluminum holders, and division bars; and window glass assembly components, which include metal bright trim, trim, insert, and window sealing products. It also offers other parts comprising fasteners, hinges, WS OHC fastener tracks, bracket protection covers, and other brackets. The company also exports its products to North America, Europe, South America, East Asia, Southeast Asia, Africa, and other regions. The company was incorporated in 2013 and is headquartered in Qinhuangdao, China.
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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.