MTDR vs MUR

Matador Resources Company vs Murphy Oil Corporation — Valuation Comparison 2026

MTDR

Crude Petroleum & Natural Gas
Matador Resources Company
Quality
8.2
out of 10
Value Trap
18
SAFE
Price
$53.60
Last close
Models
11/13
Active
VS

MUR

Crude Petroleum & Natural Gas
Murphy Oil Corporation
Quality
7.5
out of 10
Value Trap
24
SAFE
Price
$36.19
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType MTDR Fair ValueMTDR Upside MUR Fair ValueMUR Upside
Bayesian DCF Intrinsic $126.64 +249.9%
Earnings Power Value Intrinsic $47.25 -11.8% $1.56 -95.7%
EROIC Spread Intrinsic $50.81 -5.2% $23.71 -34.5%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for MTDR vs MUR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MTDR vs MUR — Which Stock Is More Undervalued?

MTDR scores higher with a 8.2/10 quality rating vs MUR's 7.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Matador Resources Company (MTDR) and Murphy Oil Corporation (MUR) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

MTDR currently trades at $53.60 with a QOC of 8.2/10, while MUR trades at $36.19 with a QOC of 7.5/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).