DBX vs ORCL
As of Sep 20, 2026, Dropbox (DBX) scores 8.0/10 and Oracle (ORCL) 3.1/10 on AlphaStocks' five-model composite, so DBX scores higher. ORCL trades 28% below its model fair value.
DBX
DROPBOX, INC.
8.0
Strong Buy
$36.47
ORCL
ORACLE CORP
3.1
Weak
$147.61
DBX vs ORCL: Which is the Better Investment?
DROPBOX, INC. (DBX) scores 8.0/10 while ORACLE CORP (ORCL) scores 3.1/10 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.
| Metric | DBX | ORCL |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.0/10▲ | 3.1/10 |
| Rating | Strong Buy▲ | Weak |
| Price | $36.47 | $147.61 |
| P/E Ratio | 19.6▲ | 25.2 |
| ROE | -13.7% | 42.2%▲ |
| Market Cap | $9B | $430B |
| Fair Value | — | $204.28 |
| Dividend Yield | — | 1.1% |
| Sector Rank | #3 of 205▲ | #187 of 205 |
| Model Verdicts | ||
| Piotroski | Attractive | Attractive |
| Buffett | Attractive▲ | Caution |
| Graham | Neutral | Neutral |
| Lynch | Strong▲ | Neutral |
| Greenblatt | Strong▲ | Attractive |
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DBX vs ORCL: Which Stock Scores Higher?
DROPBOX, INC. (DBX) and ORACLE CORP (ORCL) are both in the Information Technology sector. DBX currently leads with a composite score of 8.0/10 (Strong Buy) compared to ORCL's 3.1/10 (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