WNEB vs WSBC

Western New England Bancorp, In vs WesBanco, Inc. — Valuation Comparison 2026

WNEB

Banks - Regional
Western New England Bancorp, In
Quality
8.1
out of 10
Value Trap
12
SAFE
Price
$13.32
Last close
Models
12/13
Active
VS

WSBC

Banks - Regional
WesBanco, Inc.
Quality
8.3
out of 10
Value Trap
20
SAFE
Price
$34.69
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType WNEB Fair ValueWNEB Upside WSBC Fair ValueWSBC Upside
Bayesian DCF Intrinsic $7.80 -41.5% $9.72 -72.0%
Earnings Power Value Intrinsic $7.05 -47.1% $18.50 -46.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-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 WNEB vs WSBC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

WNEB vs WSBC — Which Stock Is More Undervalued?

WSBC scores higher with a 8.3/10 quality rating vs WNEB's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Western New England Bancorp, In (WNEB) and WesBanco, Inc. (WSBC) 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.

WNEB currently trades at $13.32 with a QOC of 8.1/10, while WSBC trades at $34.69 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).