MCB vs MCHB

Metropolitan Bank Holding Corp. vs Mechanics Bancorp — Valuation Comparison 2026

MCB

Banks - Regional
Metropolitan Bank Holding Corp.
Quality
8.5
out of 10
Value Trap
20
SAFE
Price
$89.99
Last close
Models
11/13
Active
VS

MCHB

Banks - Regional
Mechanics Bancorp
Quality
8.9
out of 10
Value Trap
12
SAFE
Price
$14.51
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType MCB Fair ValueMCB Upside MCHB Fair ValueMCHB Upside
Bayesian DCF Intrinsic $75.58 -16.0% $3.72 -74.4%
Earnings Power Value Intrinsic $102.66 +14.1% $5.70 -60.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 MCB vs MCHB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MCB vs MCHB — Which Stock Is More Undervalued?

MCHB scores higher with a 8.9/10 quality rating vs MCB's 8.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Metropolitan Bank Holding Corp. (MCB) and Mechanics Bancorp (MCHB) 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.

MCB currently trades at $89.99 with a QOC of 8.5/10, while MCHB trades at $14.51 with a QOC of 8.9/10.

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).