Sailun Group (601058) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 41.8B CNY
Analysis
Sailun Group (601058) currently trades at ¥12.23, while our model-based Fair Value estimate is ¥21.30 — implying the stock looks roughly 74.2% undervalued today. We read business quality at 90/100 (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
Sailun Group Co., Ltd. engages in the research and development, manufacturing, and sale of tires and tire recycling products in China, Europe, the United States, Asia, Africa, and internationally. The company offers semi-steel radial tires, all-steel radial tires, and off-road tires that are used in passenger cars, light trucks, large buses, trucks, construction machinery, special vehicles, and other fields; and recycling products, including retreaded tires and materials, tread rubbers, rubber powders, steel wires, etc. It also provides rubber products, machinery and equipment, molds and chemical products, as well as technology software development, installation, and related services. The company offers its products under Sailun, Luji, Black Hawk, Ruiketu, Black Knight, Saiwei, Maichi, and other brands. It also exports its products. The company was formerly known as Sailun Jinyu Group Co., Ltd. Sailun Group Co., Ltd. was founded in 2002 and is based in Qingdao, 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.