Kehua Holdings (603161) Fair Value & Analysis
Industrials · CN · Market cap 2.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Kehua Holdings (603161) currently trades at ¥15.24, while our model-based Fair Value estimate is ¥11.03 — implying the stock looks roughly 27.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Kehua Holdings Co.,Ltd engages in the production and sale of automotive turbocharger parts, engineering machinery parts, hydraulic pump valves, and new energy vehicle parts. It offers turbine and intermediate shell; differential and differential lock; chassis components, such as clamp body, bracket, and steering knuckle; counterweight block, planetary carrier, and bearing seat; and valve and pump body, and shell. The company also provides brake caliper assemblies for various pneumatic braking systems, such as light trucks, medium trucks, heavy trucks, 6-meter to 18 meter buses, trailers, and non-highway engineering vehicles. It sells its products to China, Mexico, Germany, Hungary, Poland, Czech Republic, Slovakia, Japan, South Korea, Thailand, India, and internationally. The company was formerly known as Liyang Kehua Machinery Manufacturing Co., Ltd. and changed its name to Kehua Holdings Co.,Ltd in June 2014. Kehua Holdings Co.,Ltd was founded in 2002 and is headquartered in Chang…
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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.