AlphaStocks

JNJ vs NTAP

JOHNSON & JOHNSON vs NetApp, Inc. — Side-by-Side Stock Comparison

JNJ

JOHNSON & JOHNSON

5.8

Consider Buy

$256.47

NTAP

NetApp, Inc.

8.4

Strong Buy

$178.60

JNJ vs NTAP: Which is the Better Investment?

JOHNSON & JOHNSON (JNJ) scores 5.8/10 while NetApp, Inc. (NTAP) scores 8.4/10 on AlphaStocks' composite model. NetApp, Inc. has the higher composite rating of Strong Buy. On a P/E basis, JOHNSON & JOHNSON trades at 23.2x, making it the more attractively priced of the two. NetApp, Inc. offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricJNJNTAP
Scores & Fundamentals
Composite Score5.8/108.4/10
RatingConsider BuyStrong Buy
Price$256.47$178.60
P/E Ratio23.228.1
ROE33.3%101.7%
Market Cap$627B$36B
Fair Value$311.45$256.81
Dividend Yield2.0%1.2%
Sector Rank#304 of 1123#3 of 1123
Model Verdicts
PiotroskiNeutralStrong
BuffettAttractiveStrong
GrahamCautionCaution
LynchNeutralNeutral
GreenblattNeutralNeutral
View full JNJanalysis →View full NTAPanalysis →
Compare any two stocks →

JNJ vs NTAP: Which Stock Scores Higher?

JOHNSON & JOHNSON (JNJ) and NetApp, Inc. (NTAP) are among the most compared stocks in the S&P 500. NTAP currently leads with a composite score of 8.4/10 (Strong Buy) compared to JNJ's 5.8/10 (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