EGP vs ELLA

EastGroup Properties, Inc. vs ELLA — Valuation Comparison 2026

EGP

Real Estate Investment Trusts
EastGroup Properties, Inc.
Quality
8.8
out of 10
Value Trap
18
SAFE
Price
$201.91
Last close
Models
13/13
Active
VS

ELLA

Real Estate Investment Trusts
ELLA
Quality
5.8
out of 10
Value Trap
12
SAFE
Price
$25.57
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType EGP Fair ValueEGP Upside ELLA Fair ValueELLA Upside
Bayesian DCF Intrinsic $93.93 -53.5% $6.34 -75.2%
Earnings Power Value Intrinsic $50.31 -75.1% $4.48 -82.5%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for EGP vs ELLA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

EGP vs ELLA — Which Stock Is More Undervalued?

EGP scores higher with a 8.8/10 quality rating vs ELLA's 5.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing EastGroup Properties, Inc. (EGP) and ELLA (ELLA) 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.

EGP currently trades at $201.91 with a QOC of 8.8/10, while ELLA trades at $25.57 with a QOC of 5.8/10.

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).