VBNK vs WABC

VersaBank vs Westamerica Bancorporation — Valuation Comparison 2026

VBNK

Banks - Regional
VersaBank
Quality
7.7
out of 10
Value Trap
10
SAFE
Price
$18.24
Last close
Models
12/13
Active
VS

WABC

Banks - Regional
Westamerica Bancorporation
Quality
9.4
out of 10
Value Trap
12
SAFE
Price
$55.35
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType VBNK Fair ValueVBNK Upside WABC Fair ValueWABC Upside
Bayesian DCF Intrinsic $19.88 +9.0% $42.89 -22.5%
Earnings Power Value Intrinsic $28.40 +55.7% $47.68 -13.9%
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 VBNK vs WABC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

VBNK vs WABC — Which Stock Is More Undervalued?

WABC scores higher with a 9.4/10 quality rating vs VBNK's 7.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing VersaBank (VBNK) and Westamerica Bancorporation (WABC) 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.

VBNK currently trades at $18.24 with a QOC of 7.7/10, while WABC trades at $55.35 with a QOC of 9.4/10.

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).