Xiangtan Yongda Machinery Manufacturing Co (001239) Fair Value & Analysis
Industrials · CN · Market cap 3.4B CNY
Analysis
Xiangtan Yongda Machinery Manufacturing Co (001239) currently trades at ¥14.94, while our model-based Fair Value estimate is ¥4.25 — implying the stock looks roughly 71.6% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Xiangtan Yongda Machinery Manufacturing Co., Ltd. engages in the design, production, and sale of metal structural parts for large-scale equipment in China and internationally. The company offers wind power generation equipment, tunnel excavation equipment, super large tower cranes, large excavators, and large electric drive dump trucks. It also provides various large-scale high-precision processing and measuring equipment, including large-scale CNC laser, fine plasma, flame cutting machines, large-scale CNC leveling machines, CNC three-roller bending machines, CNC bending machines, hydraulic presses, MIG, MAG, TIG, SAW welding machines, various welding robot centers, hot air circulation heat treatment annealing furnaces, digital vibration aging machines, double-column milling and turning machining centers, CNC double-column vertical lathes, large-scale CNC floor-standing boring and milling machines, CNC double-sided floor-standing milling and boring, Large CNC gantry boring and mill…
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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.