AlphaStocks

DBX vs FICO

As of Sep 20, 2026, Dropbox (DBX) scores 8.0/10 and Fair Isaac (FICO) 5.4/10 on AlphaStocks' five-model composite, so DBX scores higher. FICO trades 9% below its model fair value.

DBX

DROPBOX, INC.

8.0

Strong Buy

$36.47

FICO

FAIR ISAAC CORP

5.4

Consider Buy

$950.05

DBX vs FICO: Which is the Better Investment?

DROPBOX, INC. (DBX) scores 8.0/10 while FAIR ISAAC CORP (FICO) scores 5.4/10 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.

MetricDBXFICO
Scores & Fundamentals
Composite Score8.0/105.4/10
RatingStrong BuyConsider Buy
Price$36.47$950.05
P/E Ratio19.635.8
ROE-13.7%-14.6%
Market Cap$9B$23B
Fair Value$1,047.71
Dividend Yield
Sector Rank#3 of 205#102 of 205
Model Verdicts
PiotroskiAttractiveStrong
BuffettAttractiveAttractive
GrahamNeutralNeutral
LynchStrongNeutral
GreenblattStrongNeutral
View full DBXanalysis →View full FICOanalysis →

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DBX vs FICO: Which Stock Scores Higher?

DROPBOX, INC. (DBX) and FAIR ISAAC CORP (FICO) are both in the Information Technology sector. DBX currently leads with a composite score of 8.0/10 (Strong Buy) compared to FICO's 5.4/10 (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