DCOM vs FCF

Dime Community Bancshares, Inc. vs First — Valuation Comparison 2026

DCOM

National Commercial Banks
Dime Community Bancshares, Inc.
Quality
9.2
out of 10
Value Trap
18
SAFE
Price
$37.42
Last close
Models
11/13
Active
VS

FCF

National Commercial Banks
First
Quality
8.7
out of 10
Value Trap
8
SAFE
Price
$18.94
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType DCOM Fair ValueDCOM Upside FCF Fair ValueFCF Upside
Bayesian DCF Intrinsic $61.75 +65.0% $13.48 -28.8%
Earnings Power Value Intrinsic $61.30 +63.8% $12.12 -36.0%
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 DCOM vs FCF — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

DCOM vs FCF — Which Stock Is More Undervalued?

DCOM scores higher with a 9.2/10 quality rating vs FCF's 8.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Dime Community Bancshares, Inc. (DCOM) and First (FCF) 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.

DCOM currently trades at $37.42 with a QOC of 9.2/10, while FCF trades at $18.94 with a QOC of 8.7/10.

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).