SFBS vs SHG

ServisFirst Bancshares, Inc. vs Shinhan Financial Group Co Ltd — Valuation Comparison 2026

SFBS

Banks - Regional
ServisFirst Bancshares, Inc.
Quality
3.8
out of 10
Value Trap
12
SAFE
Price
$77.62
Last close
Models
12/13
Active
VS

SHG

Banks - Regional
Shinhan Financial Group Co Ltd
Quality
1.7
out of 10
Value Trap
Price
$63.01
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType SFBS Fair ValueSFBS Upside SHG Fair ValueSHG Upside
Bayesian DCF Intrinsic $23.74 -69.4% $21.01 -66.7%
Earnings Power Value Intrinsic $35.73 -54.9% $28.58 -56.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for SFBS vs SHG — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SFBS vs SHG — Which Stock Is More Undervalued?

SFBS scores higher with a 3.8/10 quality rating vs SHG's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing ServisFirst Bancshares, Inc. (SFBS) and Shinhan Financial Group Co Ltd (SHG) 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.

SFBS currently trades at $77.62 with a QOC of 3.8/10, while SHG trades at $63.01 with a QOC of 1.7/10.

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).