WFC vs WSFS

Wells Fargo & Company vs WSFS Financial Corporation — Valuation Comparison 2026

WFC

National Commercial Banks
Wells Fargo & Company
Quality
7.0
out of 10
Value Trap
22
SAFE
Price
$77.54
Last close
Models
10/13
Active
VS

WSFS

National Commercial Banks
WSFS Financial Corporation
Quality
6.5
out of 10
Value Trap
12
SAFE
Price
$71.45
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType WFC Fair ValueWFC Upside WSFS Fair ValueWSFS Upside
Bayesian DCF Intrinsic $3.36 -95.7% $66.22 -7.3%
Earnings Power Value Intrinsic $52.77 -32.0% $95.64 +33.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 WFC vs WSFS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

WFC vs WSFS — Which Stock Is More Undervalued?

WFC scores higher with a 7.0/10 quality rating vs WSFS's 6.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Wells Fargo & Company (WFC) and WSFS Financial Corporation (WSFS) 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.

WFC currently trades at $77.54 with a QOC of 7.0/10, while WSFS trades at $71.45 with a QOC of 6.5/10.

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).