MAA vs MDRR

Mid-America Apartment Communiti vs Medalist Diversified, Inc. — Valuation Comparison 2026

MAA

Real Estate Investment Trusts
Mid-America Apartment Communiti
Quality
7.2
out of 10
Value Trap
12
SAFE
Price
$129.07
Last close
Models
13/13
Active
VS

MDRR

Real Estate Investment Trusts
Medalist Diversified, Inc.
Quality
3.9
out of 10
Value Trap
36
LOW
Price
$10.90
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType MAA Fair ValueMAA Upside MDRR Fair ValueMDRR Upside
Bayesian DCF Intrinsic $43.74 -66.1%
Earnings Power Value Intrinsic $9.32 -92.8%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $136.29 +5.6% $20.19 +85.3%
Markov DDM Intrinsic $708.25 +448.7% $32.22 +195.6%
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 MAA vs MDRR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MAA vs MDRR — Which Stock Is More Undervalued?

MAA scores higher with a 7.2/10 quality rating vs MDRR's 3.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Mid-America Apartment Communiti (MAA) and Medalist Diversified, Inc. (MDRR) 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.

MAA currently trades at $129.07 with a QOC of 7.2/10, while MDRR trades at $10.90 with a QOC of 3.9/10.

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).