Yancoal Australia Ltd (YACAF) Fair Value & Analysis
Energy · US · Market cap $5.5B
Analysis
Yancoal Australia Ltd (YACAF) currently trades at $4.07, while our model-based Fair Value estimate is $3.91 — implying the stock looks roughly 3.9% overvalued today. We read business quality at 95/100 (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
Yancoal Australia Ltd engages in the exploration, development, production, and marketing of metallurgical and thermal coal in Australia, China, Japan, Taiwan, South Korea, Thailand, Vietnam, Malaysia, India, Europe, Israel, Chile, Indonesia, Cambodia, and Bangladesh. The company owns a 98.75% interest in the Moolarben coal mine located in the Western Coalfields of New South Wales; an 83.6% interest in the Mount Thorley and Warkworth mines located in the Hunter Valley region of New South Wales; and 51% interest in the Hunter Valley Operations located to the north-west of Singleton in the Hunter Valley region of New South Wales. It also holds 100% interests in the Yarrabee mine located to the northeast of Blackwater in Central Queensland's Bowen Basin; Donaldson located in the Hunter Valley; Ashton mine located in the Upper Hunter Valley region of New South Wales; and Stratford Duralie mine located within the New South Wales Gloucester Basin, the Stratford Duralie. In addition, the co…
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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.