AlphaStocks

PLD vs TRNO

As of Sep 20, 2026, Prologis (PLD) scores 4.9/10 and Terreno Realty (TRNO) 5.9/10 on AlphaStocks' five-model composite, so TRNO scores higher. PLD trades 76% above its model fair value; TRNO trades 52% above its model fair value.

PLD

Prologis, Inc.

4.9

Weak

$134.87

TRNO

Terreno Realty Corp

5.9

Consider Buy

$65.74

PLD vs TRNO: Which is the Better Investment?

Prologis, Inc. (PLD) scores 4.9/10 while Terreno Realty Corp (TRNO) scores 5.9/10 on AlphaStocks' composite model. Terreno Realty Corp has the higher composite rating of Consider Buy. On a P/E basis, Terreno Realty Corp trades at 16.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricPLDTRNO
Scores & Fundamentals
Composite Score4.9/105.9/10
RatingWeakConsider Buy
Price$134.87$65.74
P/E Ratio37.916.8
ROE6.4%9.9%
Market Cap$129B$7B
Fair Value$76.55$43.20
Dividend Yield2.9%2.9%
Sector Rank#52 of 104#21 of 104
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveAttractive
GrahamAttractiveAttractive
LynchNeutralStrong
GreenblattCautionLimited Data
View full PLDanalysis →View full TRNOanalysis →

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PLD vs TRNO: Which Stock Scores Higher?

Prologis, Inc. (PLD) and Terreno Realty Corp (TRNO) are both in the Real Estate sector. TRNO currently leads with a composite score of 5.9/10 (Consider Buy) compared to PLD's 4.9/10 (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