CNX Resources Corporation (CNX) Fair Value & Analysis
Energy · US · Market cap $4.8B
Analysis
CNX Resources Corporation (CNX) currently trades at $33.50, while our model-based Fair Value estimate is $40.42 — implying the stock looks roughly 20.7% 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: high) — always confirm before acting.
About the company
CNX Resources Corporation, an independent natural gas and midstream company, engages in the acquisition, exploration, development, and production of natural gas properties in the Appalachian Basin. The company operates in two segments, Shale and Coalbed Methane (CBM). It produces and sells pipeline quality natural gas primarily for gas wholesalers. The company owns rights to extract natural gas from shale formations in Pennsylvania, West Virginia, and Ohio, as well as rights to extract natural gas from other Shale and shallow oil and gas formations primarily in Illinois, Indiana, New York, Ohio, Pennsylvania, Virginia, and West Virginia. In addition, the company designs, builds, and operates natural gas gathering systems to move natural gas from the wellhead to interstate pipelines or other local sales points; owns or operates approximately 2,600 miles of natural gas gathering pipelines as well as various natural gas processing facilities. Further, it offers turn-key solutions for w…
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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.