# Confluent, Inc.  Share Price Target ‘$33.59’, now .1% Upside Potential

- Link: https://www.directorstalkinterviews.com/confluent-inc.share-price-target-33.59-now.1-upside-potential/4121145209
- Published: 2024-02-29T13:24:50+00:00
- Author: Charlotte Edwards

**Confluent, Inc.** which can be found using ticker (CFLT) have now 26 market analysts
covering the stock. The analyst consensus now points to a rating of ‘buy’. The target
price High/Low ranges between $42.00 and $19.27 and has a mean share price target
at $33.59. (at the time of writing). Given that the stocks previous close was at
$33.57 this would imply there is now a potential upside of .1%. There is a 50 day
moving average of $25.85 and the 200 moving average now moves to $28.86. The company
has a market cap of 10.26B. The stock price for the company is currently $32.83 
USD

 The potential market cap would be $10,269,495,607 based on the market consensus.

The company is not paying dividends at this time.

Other points of data to note are a P/E ratio of -, revenue per share of $2.58 and
a -10.94% return on assets.

Confluent, Inc. is engaged in designing data infrastructure to connect the applications,
systems, and data layers around a real-time central nervous system. The Company 
is focused on developing a category of data infrastructure focused on data in motion
for developers and enterprises. It enables enterprises to deliver customer experiences
for their business functions, departments, teams, applications, and data stores 
to have connectivity. It is designed to have real-time data from multiple sources
streamed across an enterprise for real-time analysis. Its offering enables organizations
to deploy production-ready applications that run across cloud infrastructures and
data centers, with features for security and compliance. Its platform provides the
capabilities to fill the structural, operational, and engineering gaps in businesses.
It enables software developers to build their applications to connect data in motion
and enables enterprises to make data in motion to everything they do.

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