Xiamen XGMA Machinery Company (600815) Fair Value & Analysis
Industrials · CN · Market cap 5.4B CNY
Analysis
Xiamen XGMA Machinery Company (600815) currently trades at ¥2.78, while our model-based Fair Value estimate is ¥3.68 — implying the stock looks roughly 32.4% undervalued today. We read business quality at 80/100 (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: low) — always confirm before acting.
About the company
Xiamen XGMA Machinery Company Limited research, develops, produces, and sells engineering machinery products and core components in China, Southeast and Central Asia, Eastern Europe, South America, the Middle East, and Africa. The company offers wheel, backhoe, excavators, and skid steel loaders; downhole machines; tracked and wheeled excavators; and steel grabbers. It also offers road machineries, including motor graders, pneumatic rollers, walk behind vibratory rollers, small tandem vibratory rollers, bulldozers, c-series, and hydraulic vibratory rollers; industrial machinery, such as diesel and electric forklift trucks, electric pallet stackers, and side loading forklifts; environmental protection machines comprising waste compactors and waste compression transfer stations; and tunneling machineries, which includes pipe jacking, irregular, TBM hard rock tunnel boring, slurry balance, earth pressure balance, composite shield tunneling machines. In addition, the company engages 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.