FRME vs FULT

First Merchants Corporation vs Fulton Financial Corporation — Valuation Comparison 2026

FRME

National Commercial Banks
First Merchants Corporation
Quality
8.4
out of 10
Value Trap
20
SAFE
Price
$40.30
Last close
Models
11/13
Active
VS

FULT

National Commercial Banks
Fulton Financial Corporation
Quality
9.2
out of 10
Value Trap
12
SAFE
Price
$21.69
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType FRME Fair ValueFRME Upside FULT Fair ValueFULT Upside
Bayesian DCF Intrinsic $23.19 -42.5% $12.90 -40.5%
Earnings Power Value Intrinsic $35.41 -12.1% $12.49 -42.4%
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 FRME vs FULT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FRME vs FULT — Which Stock Is More Undervalued?

FULT scores higher with a 9.2/10 quality rating vs FRME's 8.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing First Merchants Corporation (FRME) and Fulton Financial Corporation (FULT) 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.

FRME currently trades at $40.30 with a QOC of 8.4/10, while FULT trades at $21.69 with a QOC of 9.2/10.

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).