ALGT vs DAL

Allegiant Travel Company vs Delta Air Lines, Inc. — Valuation Comparison 2026

ALGT

Airlines
Allegiant Travel Company
Quality
7.5
out of 10
Value Trap
8
SAFE
Price
$90.73
Last close
Models
11/13
Active
VS

DAL

Airlines
Delta Air Lines, Inc.
Quality
8.2
out of 10
Value Trap
Price
$82.49
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType ALGT Fair ValueALGT Upside DAL Fair ValueDAL Upside
Bayesian DCF Intrinsic $1.57 -98.0% $45.98 -44.3%
Earnings Power Value Intrinsic $9.12 -88.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $102.93 +13.4% $129.41 +56.9%
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 ALGT vs DAL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ALGT vs DAL — Which Stock Is More Undervalued?

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

Comparing Allegiant Travel Company (ALGT) and Delta Air Lines, Inc. (DAL) 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.

ALGT currently trades at $90.73 with a QOC of 7.5/10, while DAL trades at $82.49 with a QOC of 8.2/10.

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).