Shenke Slide Bearing Corporation (002633) Fair Value & Analysis
Industrials · CN · Market cap 2.5B CNY
Fair value as of: Jun 25, 2026
Analysis
Shenke Slide Bearing Corporation (002633) currently trades at ¥16.10, while our model-based Fair Value estimate is ¥1.64 — implying the stock looks roughly 89.8% overvalued today. We read business quality at 95/100 (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
Shenke Slide Bearing Corporation, together with its subsidiaries, researches, develops, produces, and sells thick-walled sliding bearings, and parts and kits in the People's Republic of China and internationally. It offers DQY end cover sliding bearing series and ZQ/ZQKT pedestal sliding bearing series, which are used in large and medium-sized AC and DC motors, and other rotating machinery. The company also provides ZH dynamic and static pressure seat sliding bearing series used for large reversible variable speed AC and DC motors, such as rolling mills, mine hoists, etc.; VTBS vertical thrust bearing series, which are used in hydraulic generators, water pumps, etc. In addition, it offers 1000MW/600MW/300MW bearing series used in steam turbine generators; and parts and accessories of bearings in hydropower, thermal power, wind power, nuclear power, and electric motors, including generator main shaft, turbine generator volute, steam turbine generator cover, gas turbine cylinder, wind…
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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.