Changzhou Nrb Corporation (002708) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 7.8B CNY
Analysis
Changzhou Nrb Corporation (002708) currently trades at ¥14.98, while our model-based Fair Value estimate is ¥2.79 — implying the stock looks roughly 81.4% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Changzhou Nrb Corporation engages in the research, development, manufacture, and sale of auto precision bearing products in China and internationally. The company's primary products include needle, cylindrical and low friction tapered roller bearings; ball bearings; clutch release bearings; wheel hub bearings; synchronizer intermediate rings; elastic interlocking pins; and other automotive precision bearings. It also provides hydraulic clutch release, robot, single and double row cylindrical roller, push and pull type clutch release, single and double row tapered roller, deep groove ball, joint, and four-point contact ball bearings, as well as synchronizer intermediate ring and large size industrial bearings, and shaft sleeves. The company provides its products to assemblies, such as automobile engines, transmissions, clutches, heavy truck axles, chassis hubs, and new energy vehicle wire-controlled chassis, electric drives, motors, reducers and others. The company was formerly known…
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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.