CQP vs NFG

Cheniere Energy Partners, LP vs National Fuel Gas Company — Valuation Comparison 2026

CQP

Natural Gas Distribution
Cheniere Energy Partners, LP
Quality
8.3
out of 10
Value Trap
12
SAFE
Price
$59.07
Last close
Models
12/13
Active
VS

NFG

Natural Gas Distribution
National Fuel Gas Company
Quality
9.4
out of 10
Value Trap
Price
$77.25
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CQP Fair ValueCQP Upside NFG Fair ValueNFG Upside
Bayesian DCF Intrinsic $121.29 +105.3% $16.47 -79.6%
Earnings Power Value Intrinsic $14.07 -76.2% $53.90 -30.2%
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 $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

CQP vs NFG — Which Stock Is More Undervalued?

NFG scores higher with a 9.4/10 quality rating vs CQP's 8.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Cheniere Energy Partners, LP (CQP) and National Fuel Gas Company (NFG) 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.

CQP currently trades at $59.07 with a QOC of 8.3/10, while NFG trades at $77.25 with a QOC of 9.4/10.

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).