FULTP vs GABC

Fulton Financial Corporation - vs German American Bancorp, Inc. — Valuation Comparison 2026

FULTP

Banks - Regional
Fulton Financial Corporation -
Quality
8.8
out of 10
Value Trap
12
SAFE
Price
$18.53
Last close
Models
11/13
Active
VS

GABC

Banks - Regional
German American Bancorp, Inc.
Quality
8.5
out of 10
Value Trap
14
SAFE
Price
$43.41
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType FULTP Fair ValueFULTP Upside GABC Fair ValueGABC Upside
Bayesian DCF Intrinsic $9.78 -47.2% $22.10 -49.1%
Earnings Power Value Intrinsic $17.09 -7.8% $30.68 -29.3%
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 FULTP vs GABC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FULTP vs GABC — Which Stock Is More Undervalued?

FULTP scores higher with a 8.8/10 quality rating vs GABC's 8.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Fulton Financial Corporation - (FULTP) and German American Bancorp, Inc. (GABC) 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.

FULTP currently trades at $18.53 with a QOC of 8.8/10, while GABC trades at $43.41 with a QOC of 8.5/10.

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).