BHRB vs BMRC

Burke & Herbert Financial Servi vs Bank of Marin Bancorp — Valuation Comparison 2026

BHRB

Banks - Regional
Burke & Herbert Financial Servi
Quality
8.8
out of 10
Value Trap
6
SAFE
Price
$63.62
Last close
Models
12/13
Active
VS

BMRC

Banks - Regional
Bank of Marin Bancorp
Quality
7.1
out of 10
Value Trap
12
SAFE
Price
$25.80
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType BHRB Fair ValueBHRB Upside BMRC Fair ValueBMRC Upside
Bayesian DCF Intrinsic $1.39 -97.8% $21.13 -18.1%
Earnings Power Value Intrinsic $20.46 -67.8% $31.66 +22.7%
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 BHRB vs BMRC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BHRB vs BMRC — Which Stock Is More Undervalued?

BHRB scores higher with a 8.8/10 quality rating vs BMRC's 7.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Burke & Herbert Financial Servi (BHRB) and Bank of Marin Bancorp (BMRC) 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.

BHRB currently trades at $63.62 with a QOC of 8.8/10, while BMRC trades at $25.80 with a QOC of 7.1/10.

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).