AlphaStocks

DBX vs PLTR

As of Sep 20, 2026, Dropbox (DBX) scores 8.0/10 and Palantir Technologies (PLTR) 5.5/10 on AlphaStocks' five-model composite, so DBX scores higher.

DBX

DROPBOX, INC.

8.0

Strong Buy

$36.47

PLTR

Palantir Technologies Inc.

5.5

Consider Buy

$177.49

DBX vs PLTR: Which is the Better Investment?

DROPBOX, INC. (DBX) scores 8.0/10 while Palantir Technologies Inc. (PLTR) scores 5.5/10 on AlphaStocks' composite model. DROPBOX, INC. has the higher composite rating of Strong Buy. On a P/E basis, DROPBOX, INC. trades at 19.6x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricDBXPLTR
Scores & Fundamentals
Composite Score8.0/105.5/10
RatingStrong BuyConsider Buy
Price$36.47$177.49
P/E Ratio19.6280.2
ROE-13.7%23.3%
Market Cap$9B$456B
Fair Value
Dividend Yield
Sector Rank#3 of 205#100 of 205
Model Verdicts
PiotroskiAttractiveStrong
BuffettAttractiveAttractive
GrahamNeutralCaution
LynchStrongLimited Data
GreenblattStrongLimited Data
View full DBXanalysis →View full PLTRanalysis →

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DBX vs PLTR: Which Stock Scores Higher?

DROPBOX, INC. (DBX) and Palantir Technologies Inc. (PLTR) are both in the Information Technology sector. DBX currently leads with a composite score of 8.0/10 (Strong Buy) compared to PLTR's 5.5/10 (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