UVSP vs VLYPN

Univest Financial Corporation vs Valley National Bancorp - 8.250 — Valuation Comparison 2026

UVSP

Banks - Regional
Univest Financial Corporation
Quality
8.7
out of 10
Value Trap
Price
$39.38
Last close
Models
12/13
Active
VS

VLYPN

Banks - Regional
Valley National Bancorp - 8.250
Quality
6.3
out of 10
Value Trap
12
SAFE
Price
$25.97
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType UVSP Fair ValueUVSP Upside VLYPN Fair ValueVLYPN Upside
Bayesian DCF Intrinsic $20.41 -48.2% $13.05 -49.7%
Earnings Power Value Intrinsic $31.27 -20.6% $12.00 -53.8%
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 UVSP vs VLYPN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

UVSP vs VLYPN — Which Stock Is More Undervalued?

UVSP scores higher with a 8.7/10 quality rating vs VLYPN's 6.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Univest Financial Corporation (UVSP) and Valley National Bancorp - 8.250 (VLYPN) 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.

UVSP currently trades at $39.38 with a QOC of 8.7/10, while VLYPN trades at $25.97 with a QOC of 6.3/10.

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).