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Shanghai SK Petroleum & Chemical Equipment Corporation (002278) Fair Value & Analysis

Industrials · CN · Market cap 3.3B CNY

Price¥8.29
Fair Value¥2.86
Upside-65.5%
Quality86/100
Evidence: Medium Range ¥2.26 – ¥3.45

Analysis

Shanghai SK Petroleum & Chemical Equipment Corporation (002278) currently trades at ¥8.29, while our model-based Fair Value estimate is ¥2.86 — implying the stock looks roughly 65.5% overvalued today. We read business quality at 86/100 (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: medium).

About the company

Shanghai SK Petroleum & Chemical Equipment Corporation Ltd., together with its subsidiaries, engages in the research and development, and manufacture of petroleum and chemical equipment in China. The company offers mud logging units, chromatographs, sensors, special and drilling instruments, LWD's, GMWD's, and FMWD's. It also provides well logging tools, oil instruments, well control equipment, wellhead equipment, and rubber seals. In addition, the company offers mud logging and well logging services, MWD services, and rental services. Further, it provides oilfield engineering technical services; manufactures precision analyzing instrumentation; and supplies petroleum analysis instrumentation. The company also exports its products to America, the Middle East, Europe, Central Asia, South Asia, and Africa. Shanghai SK Petroleum & Chemical Equipment Corporation Ltd. was founded in 1993 and is headquartered in Shanghai, China.

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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.