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Sichuan Qiaoyuan Gas Co (301286) Fair Value & Analysis

Utilities · CN · Market cap 24.4B CNY

Price¥58.65
Fair Value¥9.43
Upside-83.9%
Quality95/100
Evidence: High Range ¥6.21 – ¥12.34

Analysis

Sichuan Qiaoyuan Gas Co (301286) currently trades at ¥58.65, while our model-based Fair Value estimate is ¥9.43 — implying the stock looks roughly 83.9% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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

Sichuan Qiaoyuan Gas Co.,Ltd. researches and develops, produces, sells, and services of high-purity gases in China. The company offers oxygen, nitrogen, argon gas, medical oxygen, food nitrogen, industrial oxygen, carbon dioxide, hydrogen, various electronic gases, and mixed gases, etc. It also involved in production and operation of hazardous chemicals, production of food additives, production, wholesale, and retail of medicines; production, retail, and wholesale of pharmaceuticals; manufacturing of basic chemical raw materials; manufacturing of metal structures; sales of instruments and meters; and sales of mechanical equipment and leasing of mechanical equipment. The company's products are used in metallurgy, chemical industry, military industry, medical treatment, food, new energy, semiconductors, electronic information, biomedicine, and new materials. Sichuan Qiaoyuan Gas Co.,Ltd. was founded in 2002 and is headquartered in Chengdu, 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.