Zhejiang XCC Group (603667) Fair Value & Analysis
Industrials · CN · Market cap 25.6B CNY
Analysis
Zhejiang XCC Group (603667) currently trades at ¥65.77, while our model-based Fair Value estimate is ¥34.06 — implying the stock looks roughly 48.2% overvalued today. We read business quality at 94/100 (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
Zhejiang XCC Group Co.,Ltd engages in the research, development, manufacture, and sale of bearings in the United States, Japan, Korea, Brazil, and internationally. The company offers automotive bearings, which includes electric car motor and transmission, alternator, tensioner, engine fan, steering, AC clutch, water pump, propeller and drive shaft, CVJ roller assembly, and ZXZ automotive series bearings; auto parts, such as vane of oil pumps, vane ring of oil pumps, gear blanks, shaft sleeves, safe air-bag tubes, hub bearing units, engine crankshaft cams, balance shaft drive sleeves, and space rings; and precision bearings comprising chemical fiber, and high precision bearings. It also provides agriculture bearings, including disc harrow, square and hex bore, insert ball, insert with house, Ag special, and ZXZ agriculture series bearings; motor bearings comprising low noise and friction ball bearings; robot bearings, such as harmonic and RV reducer bearings. In addition, the company…
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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.