FTI vs NOV
As of Sep 20, 2026, TechnipFMC (FTI) scores 6.6/10 and NOV Inc. (NOV) 4.2/10 on AlphaStocks' five-model composite, so FTI scores higher. FTI trades 45% above its model fair value; NOV trades 43% above its model fair value.
FTI
TechnipFMC plc
6.6
Consider Buy
$72.07
NOV
NOV Inc.
4.2
Weak
$20.06
FTI vs NOV: Which is the Better Investment?
TechnipFMC plc (FTI) scores 6.6/10 while NOV Inc. (NOV) scores 4.2/10 on AlphaStocks' composite model. TechnipFMC plc has the higher composite rating of Consider Buy. On a P/E basis, TechnipFMC plc trades at 31.4x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | FTI | NOV |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 6.6/10▲ | 4.2/10 |
| Rating | Consider Buy▲ | Weak |
| Price | $72.07 | $20.06 |
| P/E Ratio | 31.4▲ | 51.9 |
| ROE | 28.8%▲ | 2.3% |
| Market Cap | $30B | $7B |
| Fair Value | $49.72 | $14.01 |
| Dividend Yield | — | 2.7% |
| Sector Rank | #12 of 80▲ | #49 of 80 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Attractive |
| Buffett | Strong▲ | Neutral |
| Graham | Caution | Neutral▲ |
| Lynch | Strong▲ | Attractive |
| Greenblatt | Neutral | Neutral |
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FTI vs NOV: Which Stock Scores Higher?
TechnipFMC plc (FTI) and NOV Inc. (NOV) are both in the Energy sector. FTI currently leads with a composite score of 6.6/10 (Consider Buy) compared to NOV's 4.2/10 (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