Guangxi Liugong Machinery Co (000528) Fair Value & Analysis
Industrials · CN · Market cap 17.3B CNY
Analysis
Guangxi Liugong Machinery Co (000528) currently trades at ¥8.13, while our model-based Fair Value estimate is ¥16.59 — implying the stock looks roughly 104.1% undervalued today. We read business quality at 92/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Guangxi Liugong Machinery Co., Ltd. manufactures and sells construction machinery in China and internationally. The company operates through four segments: Earth-Moving Machinery, Other Construction Machinery and Parts, Prestressed Machinery, and Leasing Business. It offers excavators, wheel loaders, dozers, motor graders, rollers, pavers, cold planers, skid steer loaders, backhoe loaders, cranes, aerial work platforms, mining trucks, drilling rigs, diaphragm wall grab, multi-functional drilling rigs, trench cutter, construction hoist, tower cranes, air compressors, concrete, and material handling equipment. The company also provides forklifts, road machinery, mining machinery, agricultural machinery, etc. In addition, it offers OVM prestressed anchor system products; prestressed and special bridge construction equipment; engineering cables; seismic isolation products comprising engineering rubber bearings and dampers; and bridge expansion joints. Further, the company is involved in…
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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.