WBS vs ZION

Webster Financial Corporation vs Zions Bancorporation N.A. — Valuation Comparison 2026

WBS

National Commercial Banks
Webster Financial Corporation
Quality
5.9
out of 10
Value Trap
18
SAFE
Price
$72.72
Last close
Models
12/13
Active
VS

ZION

National Commercial Banks
Zions Bancorporation N.A.
Quality
5.6
out of 10
Value Trap
12
SAFE
Price
$62.45
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType WBS Fair ValueWBS Upside ZION Fair ValueZION Upside
Bayesian DCF Intrinsic $43.59 -40.1% $32.59 -47.8%
Earnings Power Value Intrinsic $63.21 -13.1% $42.26 -32.3%
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 WBS vs ZION — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

WBS vs ZION — Which Stock Is More Undervalued?

WBS scores higher with a 5.9/10 quality rating vs ZION's 5.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Webster Financial Corporation (WBS) and Zions Bancorporation N.A. (ZION) 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.

WBS currently trades at $72.72 with a QOC of 5.9/10, while ZION trades at $62.45 with a QOC of 5.6/10.

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).