JBLU vs LUV

JetBlue Airways Corporation vs Southwest Airlines Company — Valuation Comparison 2026

JBLU

Airlines
JetBlue Airways Corporation
Quality
6.7
out of 10
Value Trap
6
SAFE
Price
$5.38
Last close
Models
10/13
Active
VS

LUV

Airlines
Southwest Airlines Company
Quality
7.1
out of 10
Value Trap
24
SAFE
Price
$43.31
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType JBLU Fair ValueJBLU Upside LUV Fair ValueLUV Upside
Bayesian DCF Intrinsic $37.61 -13.2%
Earnings Power Value Intrinsic $2.12 -95.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $0.84 -84.0%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $7.44 +38.3% $30.11 -30.5%
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 JBLU vs LUV — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

JBLU vs LUV — Which Stock Is More Undervalued?

LUV scores higher with a 7.1/10 quality rating vs JBLU's 6.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing JetBlue Airways Corporation (JBLU) and Southwest Airlines Company (LUV) 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.

JBLU currently trades at $5.38 with a QOC of 6.7/10, while LUV trades at $43.31 with a QOC of 7.1/10.

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).