# Confluent, Inc.  Share Price Target ‘$37.73’, now 21.4% Upside Potential

- Link: https://www.directorstalkinterviews.com/confluent-inc-share-price-target-37-73-now-21-4-upside-potential/4121187488
- Published: 2025-02-25T13:45:44+00:00
- Author: Charlotte Edwards

**Confluent, Inc.** with ticker code (CFLT) have now 31 market analysts covering
the stock. The analyst consensus now points to a rating of ‘buy’. The range between
the high target price and low target price is between $42.00 and $30.00 calculating
the mean target share price we have $37.73. (at the time of writing). Given that
the stocks previous close was at $31.09 this indicates there is a potential upside
of 21.4%. The 50 day moving average now sits at $30.01 and the 200 day MA is $26.30.
The company has a market capitalization of 9.76B. Currently the stock stands at:
$29.23 USD

 The potential market cap would be $11,849,986,308 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 $2.99 and
a -10.16% 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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