Tieliu Co (603926) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 4.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Tieliu Co (603926) currently trades at ¥18.44, while our model-based Fair Value estimate is ¥7.57 — implying the stock looks roughly 58.9% overvalued today. We read business quality at 94/100 (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
Tieliu Co,.Ltd manufactures and sells automotive transmission systems and high-precision parts in China and internationally. The company provides automotive transmission products, such as clutch kit, hydraulic converter, self-adjusting clutch, concentric slave cylinder, dual-mass flywheel, wind power yaw brake, torsion-limited damper, release bearing, brake pads, AMT heavy truck special kit, commercial vehicle clutch, mining vehicle sheet metal, dry DCT dual clutch, wet double clutch, and double-plate oblique spiral spring clutch under the TIELIU, WESTLAKE, DELSAH, CITIAN, and ZDL brands. It also offers automotive smart services; and hydrogen pump, vacuum shaft, injector body, radiator, e-brake shaft, pump flange, sleeve, function structure part, and ECS body structure parts. The company was formerly known as Zhejiang Tieliu Clutch Co., Ltd. and changed its name to Tieliu Co,.Ltd in September 2023. Tieliu Co,.Ltd was founded in 2009 and is headquartered in Hangzhou, 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.