IBCP vs IBOC

Independent Bank Corporation vs International Bancshares Corpor — Valuation Comparison 2026

IBCP

Banks - Regional
Independent Bank Corporation
Quality
8.5
out of 10
Value Trap
15
SAFE
Price
$34.14
Last close
Models
11/13
Active
VS

IBOC

Banks - Regional
International Bancshares Corpor
Quality
9.2
out of 10
Value Trap
8
SAFE
Price
$72.41
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType IBCP Fair ValueIBCP Upside IBOC Fair ValueIBOC Upside
Bayesian DCF Intrinsic $29.59 -13.3% $119.60 +65.2%
Earnings Power Value Intrinsic $31.13 -8.8% $61.62 -14.9%
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 IBCP vs IBOC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

IBCP vs IBOC — Which Stock Is More Undervalued?

IBOC scores higher with a 9.2/10 quality rating vs IBCP's 8.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Independent Bank Corporation (IBCP) and International Bancshares Corpor (IBOC) 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.

IBCP currently trades at $34.14 with a QOC of 8.5/10, while IBOC trades at $72.41 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).