Shandong Mining Machinery Group (002526) Fair Value & Analysis
Industrials · CN · Market cap 5.2B CNY
Fair value as of: Jun 25, 2026
Analysis
Shandong Mining Machinery Group (002526) currently trades at ¥2.78, while our model-based Fair Value estimate is ¥1.36 — implying the stock looks roughly 51.1% overvalued today. We read business quality at 93/100 (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
Shandong Mining Machinery Group Co., Ltd. manufactures and sells machinery in China and internationally. The company offers manufacturing products, such as four axis coordinate welding, welding, general, and palletizing robot; 3D printing machine; unloading and bundling, and robotic handling systems; slug cutters, and automatic handling systems using dryer pallets; automatic cleaning and semi-automatic die cutting machine; and engineering robots. It also provides mining machinery products, including thin seam, top caving, shield hydraulic support, and hydraulic support for deeply inclined coal seams; tubular belt and bulk material conveyor; statically indeterminate, circular, and frequency linear vibrating screen; metal box scraper conveyor, inorganic automatic dosing system; gravity-fed three-product dense-medium cyclone, organic auto-dosing system, and medium heavy separator; mining, automobile, and extreme environment cylinders; automatic chain welding equipment and torus chain; …
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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.