STEL vs TFC

Stellar Bancorp, Inc. vs Truist Financial Corporation — Valuation Comparison 2026

STEL

National Commercial Banks
Stellar Bancorp, Inc.
Quality
8.1
out of 10
Value Trap
26
LOW
Price
$37.34
Last close
Models
12/13
Active
VS

TFC

National Commercial Banks
Truist Financial Corporation
Quality
8.4
out of 10
Value Trap
20
SAFE
Price
$48.21
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType STEL Fair ValueSTEL Upside TFC Fair ValueTFC Upside
Bayesian DCF Intrinsic $19.89 -46.7% $72.75 +50.9%
Earnings Power Value Intrinsic $33.63 -9.9% $17.16 -64.4%
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 STEL vs TFC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

STEL vs TFC — Which Stock Is More Undervalued?

TFC scores higher with a 8.4/10 quality rating vs STEL's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Stellar Bancorp, Inc. (STEL) and Truist Financial Corporation (TFC) 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.

STEL currently trades at $37.34 with a QOC of 8.1/10, while TFC trades at $48.21 with a QOC of 8.4/10.

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).