Hangzhou Oxygen Plant Group (002430) Fair Value & Analysis
Industrials · CN · Market cap 26.7B CNY
Analysis
Hangzhou Oxygen Plant Group (002430) currently trades at ¥27.60, while our model-based Fair Value estimate is ¥18.75 — implying the stock looks roughly 32.1% overvalued today. We read business quality at 87/100 (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
Hangzhou Oxygen Plant Group Co., Ltd., together with its subsidiaries, manufactures and sells air separation equipment, cryogenic petrochemical equipment, and various gas products in China and internationally. It operates through three segments: Machinery Manufacturing, Gas Sales, and EPC. The company offers oxygen, nitrogen, argon, neon, helium, krypton, xenon, and carbon dioxide, as well as medical, electronic bulk, electronic specialty, high-purity, standard, and mixed gases. It also provides supporting machine components, including turbo compressors, expanders, adsorbers, plate heat exchangers, and others; and engineering, procurement, and construction services. In addition, the company is involved in hydrogen energy; energy storage; CCUS; nuclear fusion energy; technical services; logistics and transportation; and retail business. It serves metallurgy, chemicals, machinery, semiconductors, aerospace, new energy, new materials, healthcare, food preservation, electronics, nuclear…
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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.