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MAC

MacerichC
NYSE / Equity Real Estate Investment Trusts (REITs)
Last Price
At close
2026-06-03
View Chart
Current thesis
Bull: Successful execution of targeted asset sales at constructive prices, measurable lease-up and rent-roll improvement at core centers, and visible FFO recovery that supports multiple expansion toward analyst highs.
Posture
Mixed
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite, 7D delta +3.5.
What can break
Rising interest rates and cap-rate expansion would increase financing costs and compress NAV. Weak consumer spending, tenant bankruptcies, or anchor-store closures could materially reduce rents and occupancy. Failure to execute asset sales or refinancing at acceptable prices would force low-priced dispositions and delay equity recovery.
Momentum
67
Value
54
Sentiment
37
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $19.90 · Bull $26.25 · Bear $15.00
Data freshness
Prices
As of 2026-06-03
Fundamentals
As of 2026-06-02 • Vendor: Data Vendor v1
Scores
As of 2026-06-03 • Model: HYBRID_IC_RP
AI Memo
As of 2026-02-03 • Model: RankAlpha Sentiment AI
Investment thesis
As of 2026-06-03
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $21.21
Why
Momentum67 · Δ7d +3.5
Value54 · Δ7d +0.7
Sentiment37 · Δ7d +1.7
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Momentum · See technicals
Momentum
67
34% active weight
Current posture
7d trendImproving
Δ7d
+3.5
Δ21d
+1.4
Value
54
32% active weight
Current posture
7d trendFlat
Δ7d
+0.7
Δ21d
-
Sentiment
37
33% active weight
Current posture
7d trendImproving
Δ7d
+1.7
Δ21d
+6.5
Why this grade

Composite grade C. Momentum 67.0 / Value 54.3 / Sentiment 37.4

Fundamentals (TTM)
As of 2026-06-02
Market Cap
$6.56B
Beta
2.15
Shares Out
256.12M
P/E (TTM) · Derived
-87.3
P/S (TTM)
4.67
P/FCF (TTM) · Derived
-21.87
Rev YoY
+15.0%
EPS YoY
+30.6%
Gross Margin
+54.9%
Op Margin
-42.8%
Net Debt
$4.91B
Current Ratio
-
As of 2026-06-03 • Updated nightlySource: Internal modelMethodology