OBT vs OCFC

Orange County Bancorp, Inc. vs OceanFirst Financial Corp. — Valuation Comparison 2026

OBT

Banks - Regional
Orange County Bancorp, Inc.
Quality
9.6
out of 10
Value Trap
6
SAFE
Price
$34.25
Last close
Models
12/13
Active
VS

OCFC

Banks - Regional
OceanFirst Financial Corp.
Quality
6.3
out of 10
Value Trap
12
SAFE
Price
$18.80
Last close
Models
8/13
Active

Model-by-Model Comparison

ModelType OBT Fair ValueOBT Upside OCFC Fair ValueOCFC Upside
Bayesian DCF Intrinsic $37.42 +9.3%
Earnings Power Value Intrinsic $44.77 +30.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $56.28 +64.3% $5.97 -68.3%
Markov DDM Intrinsic $7.68 -77.6% $10.98 -41.6%
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 OBT vs OCFC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

OBT vs OCFC — Which Stock Is More Undervalued?

OBT scores higher with a 9.6/10 quality rating vs OCFC's 6.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Orange County Bancorp, Inc. (OBT) and OceanFirst Financial Corp. (OCFC) 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.

OBT currently trades at $34.25 with a QOC of 9.6/10, while OCFC trades at $18.80 with a QOC of 6.3/10.

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).