AUB vs AVBC

Atlantic Union Bankshares Corpo vs Avidia Bancorp, Inc. — Valuation Comparison 2026

AUB

Banks - Regional
Atlantic Union Bankshares Corpo
Quality
8.2
out of 10
Value Trap
26
LOW
Price
$37.74
Last close
Models
11/13
Active
VS

AVBC

Banks - Regional
Avidia Bancorp, Inc.
Quality
6.7
out of 10
Value Trap
Price
$18.68
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType AUB Fair ValueAUB Upside AVBC Fair ValueAVBC Upside
Bayesian DCF Intrinsic $60.65 +60.7% $4.96 -73.5%
Earnings Power Value Intrinsic $23.94 -36.6% $4.07 -78.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 AUB vs AVBC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AUB vs AVBC — Which Stock Is More Undervalued?

AUB scores higher with a 8.2/10 quality rating vs AVBC's 6.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Atlantic Union Bankshares Corpo (AUB) and Avidia Bancorp, Inc. (AVBC) 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.

AUB currently trades at $37.74 with a QOC of 8.2/10, while AVBC trades at $18.68 with a QOC of 6.7/10.

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).