BCBP vs BCH

BCB Bancorp, Inc. (NJ) vs Banco De Chile — Valuation Comparison 2026

BCBP

Banks - Regional
BCB Bancorp, Inc. (NJ)
Quality
8.1
out of 10
Value Trap
Price
$10.28
Last close
Models
10/13
Active
VS

BCH

Banks - Regional
Banco De Chile
Quality
4.1
out of 10
Value Trap
Price
$38.36
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType BCBP Fair ValueBCBP Upside BCH Fair ValueBCH Upside
Bayesian DCF Intrinsic $25.28 +146.0% $20.30 -47.1%
Earnings Power Value Intrinsic $24.63 +139.6% $35.84 -6.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-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 BCBP vs BCH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BCBP vs BCH — Which Stock Is More Undervalued?

BCBP scores higher with a 8.1/10 quality rating vs BCH's 4.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing BCB Bancorp, Inc. (NJ) (BCBP) and Banco De Chile (BCH) 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.

BCBP currently trades at $10.28 with a QOC of 8.1/10, while BCH trades at $38.36 with a QOC of 4.1/10.

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).