Henan BCCY Environmental Energy Co (300614) Fair Value & Analysis
Utilities · CN · Market cap 1.8B CNY
Fair value as of: Jun 24, 2026
Analysis
Henan BCCY Environmental Energy Co (300614) currently trades at ¥10.89, while our model-based Fair Value estimate is ¥2.88 — implying the stock looks roughly 73.6% overvalued today. We read business quality at 94/100 (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
Henan BCCY Environmental Energy Co., Ltd focuses on the development and utilization of environmental energy. It generates, transmits, distributes power; installs, maintains, and tests power transmission, power supply, and power receiving facilities; produces and supplies biomass gas; sells renewable resources; and manufactures and sells plastic products. The company also engages in the general contracting of construction and municipal infrastructure projects; construction engineering design and survey; livestock and poultry manure treatment and utilization; research and development of carbon emission reduction, carbon capture, carbon conversion, carbon sequestration, and carbon storage technology; research and development, and sale of greenhouse gas emission control equipment; leasing and sale of machinery and equipment; manufacture and sale of special equipment for environmental protection; sale of biomass briquette fuel; and research and development of bio-organic fertilizers and …
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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.