REG vs REGCP

Regency Centers Corporation vs Regency Centers Corporation - 6 — Valuation Comparison 2026

REG

Real Estate Investment Trusts
Regency Centers Corporation
Quality
8.9
out of 10
Value Trap
12
SAFE
Price
$77.35
Last close
Models
13/13
Active
VS

REGCP

Real Estate Investment Trusts
Regency Centers Corporation - 6
Quality
7.0
out of 10
Value Trap
12
SAFE
Price
$23.45
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType REG Fair ValueREG Upside REGCP Fair ValueREGCP Upside
Bayesian DCF Intrinsic $44.12 -43.0% $55.57 +137.0%
Earnings Power Value Intrinsic $32.84 -57.5% $39.64 +69.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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REG vs REGCP — Which Stock Is More Undervalued?

REG scores higher with a 8.9/10 quality rating vs REGCP's 7.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Regency Centers Corporation (REG) and Regency Centers Corporation - 6 (REGCP) 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.

REG currently trades at $77.35 with a QOC of 8.9/10, while REGCP trades at $23.45 with a QOC of 7.0/10.

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).