FTNT vs NABL
As of Sep 20, 2026, Fortinet (FTNT) scores 7.9/10 and N-able (NABL) 4.0/10 on AlphaStocks' five-model composite, so FTNT scores higher. FTNT trades 96% above its model fair value.
FTNT
Fortinet, Inc.
7.9
Strong Buy
$169.85
NABL
N-able, Inc.
4.0
Weak
$3.85
FTNT vs NABL: Which is the Better Investment?
Fortinet, Inc. (FTNT) scores 7.9/10 while N-able, Inc. (NABL) scores 4.0/10 on AlphaStocks' composite model. Fortinet, Inc. has the higher composite rating of Strong Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | FTNT | NABL |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 7.9/10▲ | 4.0/10 |
| Rating | Strong Buy▲ | Weak |
| Price | $169.85 | $3.85 |
| P/E Ratio | 70.1 | — |
| ROE | 148.0%▲ | -2.1% |
| Market Cap | $126B | $722.1M |
| Fair Value | $86.65 | — |
| Dividend Yield | — | — |
| Sector Rank | #4 of 205▲ | #165 of 205 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Neutral |
| Buffett | Strong▲ | Attractive |
| Graham | Caution | Neutral▲ |
| Lynch | Attractive | Strong▲ |
| Greenblatt | Caution | Neutral▲ |
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FTNT vs NABL: Which Stock Scores Higher?
Fortinet, Inc. (FTNT) and N-able, Inc. (NABL) are both in the Information Technology sector. FTNT currently leads with a composite score of 7.9/10 (Strong Buy) compared to NABL's 4.0/10 (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