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Kingfore Energy Group (001210) Fair Value & Analysis

Industrials · CN · Market cap 30.6B KRW

Price481.00 KRW
Fair Value855.16 KRW
Upside+77.8%
Quality80/100
Evidence: Medium Range 653.99 KRW – 1,188 KRW

Analysis

Kingfore Energy Group (001210) currently trades at 481.00 KRW, while our model-based Fair Value estimate is 855.16 KRW — implying the stock looks roughly 77.8% undervalued today. We read business quality at 80/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Kingfore Energy Group Co., Ltd. manufactures and sells energy saving products in China. It offers heating operation services and energy-saving renovation services. The company also provides climate compensators; flue gas waste heat recovery devices; district heating centralized monitoring systems; hydraulic balance diagnosis and control platform heating systems; wireless room temperature sensors; variable frequency control equipment; boiler cabinet; and PLC control cabinet. In addition, it offers heat metering products; variable frequency fan control cabinet; energy consumption data collection system; wireless temperature and pressure sensor; and heat pump flue gas waste heat deep recovery system. The company was formerly known as Beijing Jinfang Heating, Ventilation and Energy Saving Technology Co., Ltd. The company was founded in 1992 and is headquartered in Beijing, 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.