# Pure Storage, Inc. – Consensus ‘buy’ rating and 29.5% Upside Potential

- Link: https://www.directorstalkinterviews.com/pure-storage-inc.consensus-buy-rating-and-29.5-upside-potential/4121130909
- Published: 2023-10-26T15:22:05+01:00
- Author: Charlotte Edwards

**Pure Storage, Inc.** with ticker code (PSTG) have now 15 analysts in total covering
the stock. The consensus rating is pointing to ‘buy’. The range between the high
target price and low target price is between 58 and 38 with the average target price
sitting at $44.00. Now with the previous closing price of $33.97 and the analysts
are correct then we can expect a percentage increase in value of 29.5%. There is
a 50 day moving average of $35.99 and the 200 moving average now moves to $31.29.
The total market capitalization for the company now stands at 10.35B. The stock 
price is currently at: 33.19 USD

 The potential market cap would be $13,410,893,863 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 9.06 and
a 0.25% return on assets.

Pure Storage, Inc. is focused on delivering disruptive data storage, products and
services. The Company’s products and subscription services support a range of structured
and unstructured data, at scale and across any data workload in hybrid and public
cloud environments and include production, test and development, analytics, disaster
recovery (DR), and backup and recovery. Its products and subscription services include
FlashArray Platform, Cloud Block Store, FlashBlade Platform, Evergreen Subscription,
Evergreen//Flex, Evergreen//One, Pure Fusion, Portworx by Pure Storage and Portworx
Data Services (PDS). It sells its products and subscription services using a direct
sales force and its channel partners. It also sells to service providers that deploy
its products and offer cloud-based storage services to their customers. FlashArray
Platform provides solutions for block-oriented storage, addressing databases, applications,
virtual machines and other traditional workloads.

Share on:
