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Guangdong Meiyanjixiang Hydropower Co (600868) Fair Value & Analysis

Utilities · CN · Market cap 5.8B CNY

Price¥2.91
Fair Value¥0.6300
Upside-78.4%
Quality93/100
Evidence: Medium Range ¥0.5300 – ¥0.7200

Analysis

Guangdong Meiyanjixiang Hydropower Co (600868) currently trades at ¥2.91, while our model-based Fair Value estimate is ¥0.6300 — implying the stock looks roughly 78.4% overvalued today. We read business quality at 93/100 (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: medium).

About the company

Guangdong Meiyanjixiang Hydropower Co.,Ltd. generates hydroelectric power in China. The company is involved in real estate development and operation; manufacturing; and other related businesses; investment activities using own funds; wholesale and retail of commercial materials; energy performance contracting; and construction engineering. It also provides surveying and mapping services; geographic remote sensing information services; land consolidation services; information system integration services; planning and design management; land and space planning; data processing and storage support services; technology development, consulting, exchange, transfer, and promotion; power supply; and power generation, transmission, and distribution services. Guangdong Meiyanjixiang Hydropower Co.,Ltd. was founded in 1990 and is based in Meizhou, 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.