CHRD vs CRGY

Chord Energy Corporation vs Crescent Energy Company — Valuation Comparison 2026

CHRD

Crude Petroleum & Natural Gas
Chord Energy Corporation
Quality
7.8
out of 10
Value Trap
38
LOW
Price
$131.87
Last close
Models
11/13
Active
VS

CRGY

Crude Petroleum & Natural Gas
Crescent Energy Company
Quality
7.2
out of 10
Value Trap
24
SAFE
Price
$11.56
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType CHRD Fair ValueCHRD Upside CRGY Fair ValueCRGY Upside
Bayesian DCF Intrinsic $560.74 +325.2% $32.35 +179.8%
Earnings Power Value Intrinsic $48.24 -63.4% $0.92 -93.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 CHRD vs CRGY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CHRD vs CRGY — Which Stock Is More Undervalued?

CHRD scores higher with a 7.8/10 quality rating vs CRGY's 7.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Chord Energy Corporation (CHRD) and Crescent Energy Company (CRGY) 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.

CHRD currently trades at $131.87 with a QOC of 7.8/10, while CRGY trades at $11.56 with a QOC of 7.2/10.

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).