AlphaStocks

LAMR vs PLD

LAMAR ADVERTISING CO/NEW vs Prologis, Inc. — Side-by-Side Stock Comparison

LAMR

LAMAR ADVERTISING CO/NEW

7.5

Strong Buy

$139.57

PLD

Prologis, Inc.

5.6

Consider Buy

$138.73

LAMR vs PLD: Which is the Better Investment?

LAMAR ADVERTISING CO/NEW (LAMR) scores 7.5/10 while Prologis, Inc. (PLD) scores 5.6/10 on AlphaStocks' composite model. LAMAR ADVERTISING CO/NEW has the higher composite rating of Strong Buy. On a P/E basis, LAMAR ADVERTISING CO/NEW trades at 18.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricLAMRPLD
Scores & Fundamentals
Composite Score7.5/105.6/10
RatingStrong BuyConsider Buy
Price$139.57$138.73
P/E Ratio18.838.9
ROE22.1%6.4%
Market Cap$14B$133B
Fair Value$100.88$78.29
Dividend Yield4.6%2.8%
Sector Rank#1 of 106#27 of 106
Model Verdicts
PiotroskiAttractiveAttractive
BuffettStrongAttractive
GrahamAttractiveAttractive
LynchAttractiveNeutral
GreenblattNeutralCaution
View full LAMRanalysis →View full PLDanalysis →
Compare any two stocks →

LAMR vs PLD: Which Stock Scores Higher?

LAMAR ADVERTISING CO/NEW (LAMR) and Prologis, Inc. (PLD) are among the most compared stocks in the Real Estate sector. LAMR currently leads with a composite score of 7.5/10 (Strong Buy) compared to PLD's 5.6/10 (Consider Buy).

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