SMBC vs SRCE

Southern Missouri Bancorp, Inc. vs 1st Source Corporation — Valuation Comparison 2026

SMBC

Banks - Regional
Southern Missouri Bancorp, Inc.
Quality
9.1
out of 10
Value Trap
Price
$69.21
Last close
Models
11/13
Active
VS

SRCE

Banks - Regional
1st Source Corporation
Quality
8.6
out of 10
Value Trap
20
SAFE
Price
$73.56
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType SMBC Fair ValueSMBC Upside SRCE Fair ValueSRCE Upside
Bayesian DCF Intrinsic $33.20 -52.0% $32.41 -55.9%
Earnings Power Value Intrinsic $41.02 -40.7% $42.76 -41.9%
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 SMBC vs SRCE — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SMBC vs SRCE — Which Stock Is More Undervalued?

SMBC scores higher with a 9.1/10 quality rating vs SRCE's 8.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Southern Missouri Bancorp, Inc. (SMBC) and 1st Source Corporation (SRCE) 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.

SMBC currently trades at $69.21 with a QOC of 9.1/10, while SRCE trades at $73.56 with a QOC of 8.6/10.

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).