CNXN vs FTI
PC CONNECTION INC vs TechnipFMC plc — Side-by-Side Stock Comparison
CNXN
PC CONNECTION INC
5.2
Consider Buy
$60.00
FTI
TechnipFMC plc
8.5
Strong Buy
$69.81
CNXN vs FTI: Which is the Better Investment?
PC CONNECTION INC (CNXN) scores 5.2/10 while TechnipFMC plc (FTI) scores 8.5/10 on AlphaStocks' composite model. TechnipFMC plc has the higher composite rating of Strong Buy. On a P/E basis, PC CONNECTION INC trades at 18.4x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | CNXN | FTI |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 5.2/10 | 8.5/10▲ |
| Rating | Consider Buy | Strong Buy▲ |
| Price | $60.00 | $69.81 |
| P/E Ratio | 18.4▲ | 30.4 |
| ROE | 9.2% | 28.8%▲ |
| Market Cap | $2B | $29B |
| Fair Value | — | $48.94 |
| Dividend Yield | 1.0% | — |
| Sector Rank | #515 of 1127 | #2 of 1127▲ |
| Model Verdicts | ||
| Piotroski | Neutral | Strong▲ |
| Buffett | Attractive | Strong▲ |
| Graham | Neutral▲ | Caution |
| Lynch | Neutral | Strong▲ |
| Greenblatt | Limited Data | Neutral▲ |
CNXN vs FTI: Which Stock Scores Higher?
PC CONNECTION INC (CNXN) and TechnipFMC plc (FTI) are among the most compared stocks in the S&P 500. FTI currently leads with a composite score of 8.5/10 (Strong Buy) compared to CNXN's 5.2/10 (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