CPA vs JBLU

Copa Holdings, S.A. vs JetBlue Airways Corporation — Valuation Comparison 2026

CPA

Air Transportation, Scheduled
Copa Holdings, S.A.
Quality
8.9
out of 10
Value Trap
24
SAFE
Price
$142.89
Last close
Models
13/13
Active
VS

JBLU

Air Transportation, Scheduled
JetBlue Airways Corporation
Quality
6.7
out of 10
Value Trap
6
SAFE
Price
$5.47
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType CPA Fair ValueCPA Upside JBLU Fair ValueJBLU Upside
Bayesian DCF Intrinsic $453.70 +217.5%
Earnings Power Value Intrinsic $211.98 +48.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $65.52 -54.1% $0.84 -84.0%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $1.41 -99.0% $7.44 +36.0%
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 CPA vs JBLU — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CPA vs JBLU — Which Stock Is More Undervalued?

CPA scores higher with a 8.9/10 quality rating vs JBLU's 6.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Copa Holdings, S.A. (CPA) and JetBlue Airways Corporation (JBLU) 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.

CPA currently trades at $142.89 with a QOC of 8.9/10, while JBLU trades at $5.47 with a QOC of 6.7/10.

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).