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JNJ vs NVDA Comparison

Compare JNJ & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.

Logo Johnson & Johnson

JNJ

Johnson & Johnson

HOLD

Current Price

$260.86

Market Cap

542.4B

Sector

Health Care

ML Signal

HOLD

Logo NVIDIA Corporation

NVDA

NVIDIA Corporation

HOLD

Current Price

$224.16

Market Cap

4.9T

Sector

Technology

ML Signal

HOLD

Company Overview

Basic Information
Metric
JNJ
NVDA
Founded
1886
1993
Country
United States
United States
Employees
N/A
N/A
Industry
Biotechnology: Pharmaceutical Preparations
Semiconductors
Sector
Health Care
Technology
Exchange
Nasdaq
Nasdaq
Market Cap
542.4B
4.9T
IPO Year
2003
1998

Fundamental Metrics

Financial Performance
Metric
JNJ
NVDA
Price
$260.86
$224.16
Analyst Decision
Buy
Strong Buy
Analyst Count
20
38
Target Price
$238.20
$266.24
AVG Volume (30 Days)
7.7M
110.2M
Earning Date
04-14-2026
05-20-2026
Dividend Yield
2.36%
0.02%
EPS Growth
90.50
66.67
EPS
4.41
2.39
Revenue
N/A
$215,938,000,000.00
Revenue This Year
$6.63
$73.22
Revenue Next Year
$7.43
$31.16
P/E Ratio
$58.91
$91.03
Revenue Growth
N/A
65.47
52 Week Low
$172.72
$164.07
52 Week High
$274.90
$236.54

Technical Indicators

Market Signals
Indicator
JNJ
NVDA
Relative Strength Index (RSI) 56.52 62.10
Support Level $247.97 $194.35
Resistance Level $272.16 $234.41
Average True Range (ATR) 5.71 6.93
MACD -0.42 2.14
Stochastic Oscillator 42.11 95.80

Price Performance

Historical Comparison
JNJ
NVDA

About JNJ Johnson & Johnson

Johnson & Johnson is the world's largest and most diverse healthcare firm. It has two divisions: innovative medicine and medtech. These now represent all of the company's sales following the divestment of the consumer business, Kenvue, in 2023. After restructurings in 2023-24, the drug division focuses on three main therapeutic areas: immunology, oncology, and neurology. Geographically, just over half of total revenue is generated in the United States.

About NVDA NVIDIA Corporation

Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.

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