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Jiangxi Jovo Energy Co (605090) Fair Value & Analysis

Energy · CN · Market cap 26.3B CNY

Price¥37.18
Fair Value¥29.35
Upside-21.1%
Quality92/100
Evidence: High Range ¥22.01 – ¥36.69

Analysis

Jiangxi Jovo Energy Co (605090) currently trades at ¥37.18, while our model-based Fair Value estimate is ¥29.35 — implying the stock looks roughly 21.1% 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

Jiangxi Jovo Energy Co., Ltd provides clean energy integrated service for gas industries in China and internationally. It operates through three segments: Clean Energy, Energy Services, and Special Gases. The company is involved in procurement and sale of liquefied petroleum gas, natural gas, and chemical products, such as dimethyl ether, polyethylene, polyvinyl chloride, heavy hydrocarbons, and other products; liquid hydrogen; shipping services; road freight transportation services; equipment leasing services; warehousing services; sales of station hydrogenation and hydrogen storage facilities; production and sale of hydrogen and helium; technology development and technical services in the field of clean energy; information system operation and maintenance services; and information technology consulting services. Jiangxi Jovo Energy Co., Ltd was founded in 2008 and is headquartered in Guangzhou, 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.