Nanjing Develop Advanced Manufacturing Co (688377) Fair Value & Analysis
Energy · CN · Market cap 6.1B CNY
Analysis
Nanjing Develop Advanced Manufacturing Co (688377) currently trades at ¥24.86, while our model-based Fair Value estimate is ¥6.95 — implying the stock looks roughly 72.0% overvalued today. We read business quality at 95/100 (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
Nanjing Develop Advanced Manufacturing Co., Ltd. engages in the research, development, manufacturing, and sale of parts and components for oil and gas industry in China and internationally. The company offers surface equipment and Christmas tree components, including tree cap, tubing hanger, and packoff seal assemblies, as well as tree block, casing hanger, multibowl wellhead, cross, gate valve, casing and tubing heads, and tubing head adapter; subsea equipment components, such as conductor housing, subsea conductor housing, subsea composite valve block, and subsea hydraulic connector assembly; and fracturing equipment components comprising frac pump fluid end, frac valve assemble, and gate valve. It also provides forging and machining drilling equipment; petrochemical; clean power; and engineering and mining machinery. The company's products are used in deep water subsea drilling and production, shale gas fracturing, surface wellhead and Christmas tree, BOP, high pressure fluid tra…
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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.