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Kincora Copper Limited (KCC) Fair Value & Analysis

Financial Services · CA · Market cap 1.8B THB

Price3.16 THB
Fair Value3.23 THB
Upside+2.2%
Quality95/100
Evidence: High Range 2.42 THB – 4.03 THB

Analysis

Kincora Copper Limited (KCC) currently trades at 3.16 THB, while our model-based Fair Value estimate is 3.23 THB — implying the stock looks roughly 2.2% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: high) — always confirm before acting.

About the company

Kincora Copper Limited, an exploration stage company, engages in acquisition, exploration, and evaluation of mineral properties in Mongolia and Australia. The company primarily explores for copper, gold, lead, zinc, silver deposits, and base metals. The company's Flagship The Fairholme project comprising an area of 169 square kilometers located in the southern sector of the Junee-Narromine volcanic belt of the Macquarie Arc, Australia; The Trundle project covering an area of 167 square kilometers located in the Junee-Narromine volcanic belt of the Macquarie Arc, Australia; and The Bronze Fox project covering an area of 175 square kilometers located approximately 450km south of the capital Ulaanbataar. The company was formerly known as Brazilian Diamonds Limited and changed its name to Kincora Copper Limited in January 2011. Kincora Copper Limited was incorporated in 1983 and is headquartered in Vancouver, Canada.

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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.