HBAN vs HBANL

Huntington Bancshares Incorpora vs Huntington Bancshares Incorpora — Valuation Comparison 2026

HBAN

Banks - Regional
Huntington Bancshares Incorpora
Quality
8.7
out of 10
Value Trap
18
SAFE
Price
$16.12
Last close
Models
11/13
Active
VS

HBANL

Banks - Regional
Huntington Bancshares Incorpora
Quality
8.3
out of 10
Value Trap
18
SAFE
Price
$25.40
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType HBAN Fair ValueHBAN Upside HBANL Fair ValueHBANL Upside
Bayesian DCF Intrinsic $11.58 -28.1% $8.04 -68.4%
Earnings Power Value Intrinsic $10.45 -35.2% $11.88 -53.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 HBAN vs HBANL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HBAN vs HBANL — Which Stock Is More Undervalued?

HBAN scores higher with a 8.7/10 quality rating vs HBANL's 8.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Huntington Bancshares Incorpora (HBAN) and Huntington Bancshares Incorpora (HBANL) 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.

HBAN currently trades at $16.12 with a QOC of 8.7/10, while HBANL trades at $25.40 with a QOC of 8.3/10.

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).