Sichuan Zigong Conveying Machine Group (001288) Fair Value & Analysis
Industrials · CN · Market cap 6.3B CNY
Analysis
Sichuan Zigong Conveying Machine Group (001288) currently trades at ¥27.84, while our model-based Fair Value estimate is ¥16.88 — implying the stock looks roughly 39.4% 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
Sichuan Zigong Conveying Machine Group Co., Ltd. engages in the research, design, development, production, and sale of conveying machinery in China and internationally. The company offers general, tubular, and horizontal turning belt conveyors; check and drive devices; and shifting telescopic, high-angle, and screw conveyors, as well as bucket elevators for use in various industries, including electricity, steel, coal, transportation, water conservancy, chemicals, metallurgy, petroleum, and building materials. It also engages in the manufacture of distribution switch control equipment, power facility equipment, photovoltaic equipment and components, industrial automatic control system devices, metal structures, feeding machinery, stackers, reclaimers, oil drilling equipment, instruments, and meters; software development; development of artificial intelligence application software; digital technology; maintenance of electronic and mechanical equipment; information system operation an…
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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.