Yantai Yatong Precision Mechanical Corporation (603190) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.2B CNY
Analysis
Yantai Yatong Precision Mechanical Corporation (603190) currently trades at ¥24.82, while our model-based Fair Value estimate is ¥17.10 — implying the stock looks roughly 31.1% overvalued today. We read business quality at 95/100 (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
Yantai Yatong Precision Mechanical Corporation engages in the research and development, production, sale, and service of auto parts and mining auxiliary transportation equipment in China. The company offers commercial vehicle parts, such as top cover assemblies, front wall assemblies, rear wall assemblies, components, side panel assemblies, floor assemblies, aluminum and magnesium alloy die-cast structural parts assemblies, die-cast transmission casing, metal exterior parts assemblies, etc., as well as automobile stamping parts, rolled parts and robot welding system module components. It also offers auxiliary transportation equipment, including electric pump and tank truck, explosion-proof diesel scraper, explosion-proof diesel engine concrete pump truck, explosion-proof diesel engine concrete mixer trucks, explosion-proof diesel engine wet concrete spray trucks, support trucks, and shovel trucks. Yantai Yatong Precision Mechanical Corporation was founded in 2002 and is based in Lai…
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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.