FTI vs HUM
TechnipFMC plc vs HUMANA INC — Side-by-Side Stock Comparison
FTI
TechnipFMC plc
8.3
Strong Buy
$73.95
HUM
HUMANA INC
2.8
Avoid
$246.42
FTI vs HUM: Which is the Better Investment?
TechnipFMC plc (FTI) scores 8.3/10 while HUMANA INC (HUM) scores 2.8/10 on AlphaStocks' composite model. TechnipFMC plc has the higher composite rating of Strong Buy. On a P/E basis, HUMANA INC trades at 25.1x, making it the more attractively priced of the two. HUMANA INC offers more upside to its estimated fair value.
This comparison is algorithmically generated and is not financial advice.
| Metric | FTI | HUM |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.3/10▲ | 2.8/10 |
| Rating | Strong Buy▲ | Avoid |
| Price | $73.95 | $246.42 |
| P/E Ratio | 32.2 | 25.1▲ |
| ROE | 28.8%▲ | 6.6% |
| Market Cap | $30B | $30B |
| Fair Value | $49.72 | $322.02 |
| Dividend Yield | — | 1.5% |
| Sector Rank | #3 of 1126▲ | #1033 of 1126 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Attractive |
| Buffett | Strong▲ | Caution |
| Graham | Caution | Neutral▲ |
| Lynch | Strong▲ | Neutral |
| Greenblatt | Neutral | Neutral |
FTI vs HUM: Which Stock Scores Higher?
TechnipFMC plc (FTI) and HUMANA INC (HUM) are among the most compared stocks in the S&P 500. FTI currently leads with a composite score of 8.3/10 (Strong Buy) compared to HUM's 2.8/10 (Avoid).
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