AlphaStocks

FTI vs SLB

As of Sep 20, 2026, TechnipFMC (FTI) scores 6.6/10 and SLB Limited (SLB) 4.7/10 on AlphaStocks' five-model composite, so FTI scores higher. FTI trades 45% above its model fair value; SLB trades 12% above its model fair value.

FTI

TechnipFMC plc

6.6

Consider Buy

$72.07

SLB

SLB LIMITED/NV

4.7

Weak

$51.13

FTI vs SLB: Which is the Better Investment?

TechnipFMC plc (FTI) scores 6.6/10 while SLB LIMITED/NV (SLB) scores 4.7/10 on AlphaStocks' composite model. TechnipFMC plc has the higher composite rating of Consider Buy. On a P/E basis, SLB LIMITED/NV trades at 21.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricFTISLB
Scores & Fundamentals
Composite Score6.6/104.7/10
RatingConsider BuyWeak
Price$72.07$51.13
P/E Ratio31.421.8
ROE28.8%13.0%
Market Cap$30B$77B
Fair Value$49.72$45.59
Dividend Yield2.3%
Sector Rank#12 of 80#35 of 80
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamCautionCaution
LynchStrongLimited Data
GreenblattNeutralLimited Data
View full FTIanalysis →View full SLBanalysis →

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FTI vs SLB: Which Stock Scores Higher?

TechnipFMC plc (FTI) and SLB LIMITED/NV (SLB) are both in the Energy sector. FTI currently leads with a composite score of 6.6/10 (Consider Buy) compared to SLB's 4.7/10 (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