ABCB vs AFBI

Ameris Bancorp vs Affinity Bancshares, Inc. — Valuation Comparison 2026

ABCB

Banks - Regional
Ameris Bancorp
Quality
9.1
out of 10
Value Trap
18
SAFE
Price
$84.61
Last close
Models
12/13
Active
VS

AFBI

Banks - Regional
Affinity Bancshares, Inc.
Quality
9.4
out of 10
Value Trap
12
SAFE
Price
$22.49
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType ABCB Fair ValueABCB Upside AFBI Fair ValueAFBI Upside
Bayesian DCF Intrinsic $53.29 -37.0% $20.87 -7.2%
Earnings Power Value Intrinsic $59.20 -30.0% $27.06 +20.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 ABCB vs AFBI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ABCB vs AFBI — Which Stock Is More Undervalued?

AFBI scores higher with a 9.4/10 quality rating vs ABCB's 9.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Ameris Bancorp (ABCB) and Affinity Bancshares, Inc. (AFBI) 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.

ABCB currently trades at $84.61 with a QOC of 9.1/10, while AFBI trades at $22.49 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).