Inner Mongolia Yitai Coal Co (900948) Fair Value & Analysis
Energy · CN · Market cap $7.5B
Fair value as of: Jun 25, 2026
Analysis
Inner Mongolia Yitai Coal Co (900948) currently trades at $2.75, while our model-based Fair Value estimate is $2.51 — implying the stock looks roughly 8.8% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Inner Mongolia Yitai Coal Co.,Ltd., together with its subsidiaries, engages in the production, transportation, and sale of coal in the People's Republic of China. It operates in four segments: Coal, Coal Chemical, Transportation, and Oil & Gas. The company is involved in the production and sale of coal, coal chemical, and oil and gas products. It also provides railway and road transportation services. In addition, the company is involved in design, manufacture, and installation of special equipment; municipal public facilities management; engineering equipment maintenance; biochemical engineering; international trade; railway investment; new energy; coal and oil testing; fund investment and management; investment management; commercial factoring; energy management; research and development, production, and sale of chemical products; exploration, extraction, and sales of oil and gas; enterprise management; liquor business; production and sales of textile products; goods warehousing; …
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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.