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AZN vs NVDA Comparison

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

Logo AstraZeneca PLC

AZN

AstraZeneca PLC

HOLD

Current Price

$166.22

Market Cap

316.4B

Sector

Health Care

ML Signal

HOLD

Logo NVIDIA Corporation

NVDA

NVIDIA Corporation

HOLD

Current Price

$215.39

Market Cap

4.9T

Sector

Technology

ML Signal

HOLD

Company Overview

Basic Information
Metric
AZN
NVDA
Founded
1992
1993
Country
United Kingdom
United States
Employees
N/A
N/A
Industry
Biotechnology: Pharmaceutical Preparations
Semiconductors
Sector
Health Care
Technology
Exchange
Nasdaq
Nasdaq
Market Cap
316.4B
4.9T
IPO Year
1995
1998

Fundamental Metrics

Financial Performance
Metric
AZN
NVDA
Price
$166.22
$215.39
Analyst Decision
Strong Buy
Strong Buy
Analyst Count
1
38
Target Price
N/A
$266.24
AVG Volume (30 Days)
4.0M
106.5M
Earning Date
04-29-2026
05-20-2026
Dividend Yield
1.73%
0.02%
EPS Growth
N/A
66.67
EPS
N/A
2.39
Revenue
N/A
$215,938,000,000.00
Revenue This Year
$10.34
$73.22
Revenue Next Year
$6.43
$31.16
P/E Ratio
$31.91
$90.71
Revenue Growth
N/A
65.47
52 Week Low
$72.90
$164.07
52 Week High
$212.71
$236.54

Technical Indicators

Market Signals
Indicator
AZN
NVDA
Relative Strength Index (RSI) 51.30 51.46
Support Level $164.06 $208.78
Resistance Level $175.04 $234.41
Average True Range (ATR) 2.73 4.71
MACD 1.24 -0.37
Stochastic Oscillator 90.40 32.22

Price Performance

Historical Comparison
AZN
NVDA

About AZN AstraZeneca PLC

A merger between Astra of Sweden and Zeneca of the United Kingdom formed AstraZeneca in 1999. The firm sells branded drugs across a number of major therapeutic areas, including oncology (over 40% of total revenue), cardiovascular, renal, and metabolic (over 20%), rare disease (16%), and respiratory and immunology (15%). The majority of sales comes from international markets, with the United States representing close to one-third of its sales.

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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