Sinomach General Machinery Science & Technology Co (600444) Fair Value & Analysis
Industrials · CN · Market cap 2.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Sinomach General Machinery Science & Technology Co (600444) currently trades at ¥13.95, while our model-based Fair Value estimate is ¥8.39 — implying the stock looks roughly 39.9% 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
Sinomach General Machinery Science & Technology Co.,Ltd. engages in the production and sale of plastic pipes, fluid machinery, environmental protection engineering, and system integration. It is involved in the research, design, and development of general machinery and chemical equipment in China. The company also offers technical services and consulting, engineering design and complete sets of equipment, refrigeration-related testing equipment, green and efficient refrigeration technology, high-end liquid-liquid/solid-liquid separation machinery, packaging machinery and equipment, valves and valve testing equipment technology development and services, offshore drilling, mud stations, special pumps and testing equipment, water jet equipment, mechanical seals and testing equipment, fans and other non-standard fluid machinery equipment, science popularization and education equipment, and cultural and creative products, etc. Sinomach General Machinery Science & Technology Co.,Ltd. was …
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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.