Matador Resources Company (MTDR) Fair Value & Analysis
Energy · US · Market cap $6.9B
Analysis
Matador Resources Company (MTDR) currently trades at $50.38, while our model-based Fair Value estimate is $82.02 — implying the stock looks roughly 62.8% undervalued today. We read business quality at 91/100 (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
Matador Resources Company, an independent energy company, engages in the acquisition, exploration, development, and production of oil and natural gas resources in the United States. It operates through two segments, Exploration and Production; and Midstream. The company primarily holds interests in the Wolfcamp and Bone Spring plays in the Delaware Basin in Southeast New Mexico and West Texas. It also operates the Haynesville shale and Cotton Valley plays in Northwest Louisiana. In addition, the company conducts midstream operations in support of its exploration, development, and production operations. Further, it provides natural gas processing and oil transportation services; and oil, natural gas, and produced water gathering services, as well as produced water disposal services to third parties, as well as sells natural gas to unaffiliated independent marketing companies and unaffiliated midstream companies. The company was formerly known as Matador Holdco, Inc. and changed its n…
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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.