AlphaStocks

BXMT vs NSA

BLACKSTONE MORTGAGE TRUST, INC. vs National Storage Affiliates Trust — Side-by-Side Stock Comparison

BXMT

BLACKSTONE MORTGAGE TRUST, INC.

4.7

Weak

$18.77

NSA

National Storage Affiliates Trust

7.2

Consider Buy

$38.56

BXMT vs NSA: Which is the Better Investment?

BLACKSTONE MORTGAGE TRUST, INC. (BXMT) scores 4.7/10 while National Storage Affiliates Trust (NSA) scores 7.2/10 on AlphaStocks' composite model. National Storage Affiliates Trust has the higher composite rating of Consider Buy. On a P/E basis, BLACKSTONE MORTGAGE TRUST, INC. trades at 29.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBXMTNSA
Scores & Fundamentals
Composite Score4.7/107.2/10
RatingWeakConsider Buy
Price$18.77$38.56
P/E Ratio29.340.0
ROE3.1%7.7%
Market Cap$3B$3B
Fair Value$44.72
Dividend Yield9.7%6.2%
Sector Rank#59 of 105#1 of 105
Model Verdicts
PiotroskiNeutralAttractive
BuffettAttractiveStrong
GrahamNeutralNeutral
LynchLimited DataNeutral
GreenblattCautionLimited Data
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BXMT vs NSA: Which Stock Scores Higher?

BLACKSTONE MORTGAGE TRUST, INC. (BXMT) and National Storage Affiliates Trust (NSA) are among the most compared stocks in the S&P 500. NSA currently leads with a composite score of 7.2/10 (Consider Buy) compared to BXMT's 4.7/10 (Weak).

The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.

This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.

Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer