FTI vs SBUX
TechnipFMC plc vs STARBUCKS CORP — Side-by-Side Stock Comparison
FTI
TechnipFMC plc
8.4
Strong Buy
$74.59
SBUX
STARBUCKS CORP
5.7
Consider Buy
$104.99
FTI vs SBUX: Which is the Better Investment?
TechnipFMC plc (FTI) scores 8.4/10 while STARBUCKS CORP (SBUX) scores 5.7/10 on AlphaStocks' composite model. TechnipFMC plc has the higher composite rating of Strong Buy. On a P/E basis, TechnipFMC plc trades at 32.5x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | FTI | SBUX |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.4/10▲ | 5.7/10 |
| Rating | Strong Buy▲ | Consider Buy |
| Price | $74.59 | $104.99 |
| P/E Ratio | 32.5▲ | 64.5 |
| ROE | 28.8%▲ | -23.5% |
| Market Cap | $31B | $120B |
| Fair Value | $49.72 | $59.10 |
| Dividend Yield | — | 2.3% |
| Sector Rank | #2 of 1126▲ | #335 of 1126 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Neutral |
| Buffett | Strong▲ | Neutral |
| Graham | Caution | Neutral▲ |
| Lynch | Strong▲ | Neutral |
| Greenblatt | Neutral▲ | Caution |
FTI vs SBUX: Which Stock Scores Higher?
TechnipFMC plc (FTI) and STARBUCKS CORP (SBUX) are among the most compared stocks in the S&P 500. FTI currently leads with a composite score of 8.4/10 (Strong Buy) compared to SBUX's 5.7/10 (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