Sichuan Dawn Precision Technology Co (300780) Fair Value & Analysis
Industrials · CN · Market cap 4.7B CNY
Analysis
Sichuan Dawn Precision Technology Co (300780) currently trades at ¥29.68, while our model-based Fair Value estimate is ¥30.94 — implying the stock looks roughly 4.2% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Sichuan Dawn Precision Technology Co.,Ltd. engages in the research, development, production, and sales of industrial robots, CNC machine tools, and mechanical transmission parts in China and internationally. The company's products include narrow V-belt drives, American standard belt drives, synchronous belt drives, chain drives, connectors, gear drives, geared motors, industrial belts, fasteners, custom parts, belt pulleys, chain wheels, gears, synchronous belt wheels, shaft couplings, taper sleeves, expansion sleeves, flywheels, bushes, speed reducers, and other mechanical power transmission components and castings. It offers its products through online. The company was formerly known as Sichuan Dwan Drive Machinery Limited Liability Company and changed its name to Sichuan Dawn Precision Technology Co.,Ltd. in May 2015. The company was founded in 1995 and is based in Meishan, China.
Open the full interactive analysis →
Similar stocks
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.