AlphaStocks

BLKB vs DBX

As of Sep 20, 2026, Blackbaud (BLKB) scores 6.4/10 and Dropbox (DBX) 8.0/10 on AlphaStocks' five-model composite, so DBX scores higher. BLKB trades 28% below its model fair value.

BLKB

BLACKBAUD INC

6.4

Consider Buy

$42.82

DBX

DROPBOX, INC.

8.0

Strong Buy

$36.47

BLKB vs DBX: Which is the Better Investment?

BLACKBAUD INC (BLKB) scores 6.4/10 while DROPBOX, INC. (DBX) scores 8.0/10 on AlphaStocks' composite model. DROPBOX, INC. has the higher composite rating of Strong Buy. On a P/E basis, BLACKBAUD INC trades at 18.1x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBLKBDBX
Scores & Fundamentals
Composite Score6.4/108.0/10
RatingConsider BuyStrong Buy
Price$42.82$36.47
P/E Ratio18.119.6
ROE8.3%-13.7%
Market Cap$2B$9B
Fair Value$59.51
Dividend Yield
Sector Rank#57 of 205#3 of 205
Model Verdicts
PiotroskiStrongAttractive
BuffettNeutralAttractive
GrahamNeutralNeutral
LynchNeutralStrong
GreenblattAttractiveStrong
View full BLKBanalysis →View full DBXanalysis →

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BLKB vs DBX: Which Stock Scores Higher?

BLACKBAUD INC (BLKB) and DROPBOX, INC. (DBX) are both in the Information Technology sector. DBX currently leads with a composite score of 8.0/10 (Strong Buy) compared to BLKB's 6.4/10 (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