Zhongman Petroleum and Natural Gas Group (603619) Fair Value & Analysis
Energy · CN · Market cap 10.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Zhongman Petroleum and Natural Gas Group (603619) currently trades at ¥22.14, while our model-based Fair Value estimate is ¥15.43 — implying the stock looks roughly 30.3% overvalued today. We read business quality at 92/100 (high quality), in the Energy 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
Zhongman Petroleum and Natural Gas Group Corp.,Ltd., an oil and gas company, provides integrated oil and gas development services in China and internationally. It engages in exploration and development, drilling and completion engineering, and equipment manufacturing business. The company explores for, develops, and produces oil and gas deposits. It also offers drilling and completion services, including integrated drilling engineering, equipment management, production management, and project management services, as well as cover drilling, well workover, logging, well logging, cementing, completion, drilling fluid, directional drilling, and integrated wellbore technical services; and drilling technical services. In addition, the company designs, manufactures, sells, and leases technical services petroleum drilling equipment; and researches, develops, manufactures, and sells land drilling rigs, components, electrical control systems, and intelligent products. Further, it offers pre-s…
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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.