Core Natural Resources, Inc (CNR) Fair Value & Analysis
Energy · US · Market cap $4.8B
Analysis
Core Natural Resources, Inc (CNR) currently trades at $82.25, while our model-based Fair Value estimate is $106.02 — implying the stock looks roughly 28.9% undervalued today. We read business quality at 95/100 (high quality), in the Energy 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
Core Natural Resources, Inc., together with its subsidiaries, produces, sells, and exports metallurgical and thermal coals in the United States and internationally. It operates through the High CV Thermal; Metallurgical; Powder River Basin (PRB); and Core Marine Terminal segments. The High CV Thermal segment consists of Pennsylvania Mining Complex and the West Elk mine located in Colorado. The Metallurgical segment consists of Leer, Leer South, Beckley, Mountain Laurel, and Itmann coal mines in West Virginia. The PRB segment consists of Black Thunder and Coal Creek surface mining complexes located in Wyoming. The Core Marine Terminal segment consists of coal export terminal operations in the Port of Baltimore. The company was formerly known as CONSOL Energy Inc. and changed its name to Core Natural Resources, Inc. in January 2025. Core Natural Resources, Inc. was founded in 1864 and is headquartered in Canonsburg, Pennsylvania.
Open the full interactive analysis →
Similar stocks
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.