SINOMACH HEAVY EQUIPMENT GROUP CO.,LTD researches, (601399) Fair Value & Analysis
Industrials · CN · Market cap 26.9B CNY
Fair value as of: Jun 24, 2026
Analysis
SINOMACH HEAVY EQUIPMENT GROUP CO.,LTD researches, (601399) currently trades at ¥3.73, while our model-based Fair Value estimate is ¥2.50 — implying the stock looks roughly 33.0% overvalued today. We read business quality at 92/100 (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
SINOMACH HEAVY EQUIPMENT GROUP CO.,LTD researches, develops, designs, manufactures, and sells technical and heavy equipment in China and internationally. The company offers complete sets of equipment, including forging press, hot continuous rolling mill, rubber bladder press, cold rolling mill, new-type slag vertical mill, forging four-beam bridge crane, free forging hydraulic press, wide-and-thick-plate rolling mill, acid unit, continuous casting machine, hot rolling h-type steel mill, dumping plough, tube mill, hot die forging press, and intelligent stretcher; large-scale castings and forgings; heavy pressure vessels; nuclear power products; wind power products; transmission parts; clean energy equipment; heavy petrochemical containers; and other major technical equipment. It provides infrastructure construction, design and general contracting of ports, transportation infrastructure, power transmission and transformation projects, water affairs, environmental protection, and other…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is SINOMACH HEAVY EQUIPMENT GROUP CO.,LTD researches, (601399) undervalued?
What is the fair value of 601399?
What is the quality score of 601399?
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.