UBS vs VLY

UBS Group AG Registered vs Valley National Bancorp — Valuation Comparison 2026

UBS

National Commercial Banks
UBS Group AG Registered
Quality
2.1
out of 10
Value Trap
Price
$47.08
Last close
Models
13/13
Active
VS

VLY

National Commercial Banks
Valley National Bancorp
Quality
7.5
out of 10
Value Trap
20
SAFE
Price
$13.77
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType UBS Fair ValueUBS Upside VLY Fair ValueVLY Upside
Bayesian DCF Intrinsic $16.75 -64.4% $3.17 -77.0%
Earnings Power Value Intrinsic $137.48 +204.1% $11.32 -17.8%
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 UBS vs VLY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

UBS vs VLY — Which Stock Is More Undervalued?

VLY scores higher with a 7.5/10 quality rating vs UBS's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing UBS Group AG Registered (UBS) and Valley National Bancorp (VLY) 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.

UBS currently trades at $47.08 with a QOC of 2.1/10, while VLY trades at $13.77 with a QOC of 7.5/10.

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).