FHN vs FITBI

First Horizon Corporation vs Fifth Third Bancorp - Depositar — Valuation Comparison 2026

FHN

Banks - Regional
First Horizon Corporation
Quality
8.9
out of 10
Value Trap
12
SAFE
Price
$24.22
Last close
Models
11/13
Active
VS

FITBI

Banks - Regional
Fifth Third Bancorp - Depositar
Quality
8.3
out of 10
Value Trap
8
SAFE
Price
$25.60
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType FHN Fair ValueFHN Upside FITBI Fair ValueFITBI Upside
Bayesian DCF Intrinsic $6.83 -71.8% $17.52 -31.6%
Earnings Power Value Intrinsic $10.49 -56.7% $13.10 -48.8%
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 FHN vs FITBI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FHN vs FITBI — Which Stock Is More Undervalued?

FHN scores higher with a 8.9/10 quality rating vs FITBI's 8.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing First Horizon Corporation (FHN) and Fifth Third Bancorp - Depositar (FITBI) 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.

FHN currently trades at $24.22 with a QOC of 8.9/10, while FITBI trades at $25.60 with a QOC of 8.3/10.

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).