Hewlett Packard Enterprise Company Common Stock (HPE)
12.60
-1.08 (-7.93%)
NYSE · Last Trade: Apr 4th, 6:07 PM EDT
Detailed Quote
Previous Close
13.68
Open
13.31
Bid
12.76
Ask
12.88
Day's Range
11.96 - 13.31
52 Week Range
13.60 - 24.66
Volume
32,649,172
Market Cap
16.45B
PE Ratio (TTM)
6.085
EPS (TTM)
2.1
Dividend & Yield
0.5200 (4.13%)
1 Month Average Volume
27,799,247
Chart
About Hewlett Packard Enterprise Company Common Stock (HPE)
Hewlett Packard Enterprise is a global technology company that provides a range of innovative solutions focused on enterprise products and services. The company specializes in delivering IT infrastructure, including servers, storage systems, and networking, as well as digital transformation services, cloud computing solutions, and data analytics. HPE aims to help businesses improve performance and efficiency by addressing their IT needs through advanced technology and consulting services. By leveraging cutting-edge technologies, HPE empowers organizations to harness the power of data, optimize their operations, and drive digital transformation in a rapidly evolving business landscape. Read More
phoenixNAP, a global IT services provider, is accelerating its business growth and time-to-market for its Infrastructure as a Service (IaaS) platforms with servers from Hewlett Packard Enterprise (NYSE: HPE). The servers, which include the latest Intel Xeon 6 processors, represent HPE’s first disaggregated computing hardware that conforms to the Data Center Modular Hardware System (DC-MHS) design specification developed by the Open Compute Project (OCP) community.
Shares of enterprise technology company Hewlett Packard Enterprise (NYSE:HPE) fell 14.2% in the afternoon session after President Trump announced "reciprocal tariffs" on all US imports, set at a minimum rate of 10%. Markets reacted negatively to the announcement, reflecting deep concerns among investors about the broader economic implications. The tariffs were likely seen as a significant threat to global trade flows, with the potential to slow economic growth, drive up consumer prices, and spark retaliatory measures.
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NVIDIA GTC 2025 - Hewlett Packard Enterprise (NYSE: HPE) today unveiled a unified data layer for AI, deeper collaboration with NVIDIA, and significant enhancements across its enterprise data storage portfolio. Enterprises will be able to achieve quicker time to insight through easy access, built-in intelligence and governed control of multi-vendor, multicloud data through HPE GreenLake cloud.
NVIDIA GTC 2025 - Hewlett Packard Enterprise (NYSE: HPE) and NVIDIA today announced new enterprise AI solutions with NVIDIA from NVIDIA AI Computing by HPE that accelerates the time to value for customers deploying generative, agentic and physical AI. NVIDIA AI Computing by HPE unveils new enterprise AI solutions with enhanced performance, power efficiency, security, and new capabilities for a full-stack, turnkey private cloud for AI. These solutions support enterprises of all sizes in effectively training, tuning, or inferencing their AI models.
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Skild AI, a company creating AI foundation models and software designed to drive a diverse range of robotic devices and applications, is powering an exponential expansion of its engineering operations with a secure, private AI-as-a-service solution by STN comprising AI servers and storage solutions from Hewlett Packard Enterprise (NYSE: HPE). The deployment will advance Skild AI’s development of artificial general intelligence (AGI) rooted in the physical world.
Daiwa analysts cited President Donald Trump’s tariffs as the biggest concern, believing they can push the economy into a recession and fan inflationary pressure.
Hewlett Packard Enterprise (NYSE: HPE) today announced that Swiss IT services company Klein Computer System AG is deploying HPE Private Cloud AI to advance customer service and sales by deploying AI assistants and agents across its customer-facing activities. Part of the NVIDIA AI Computing by HPE portfolio, HPE Private Cloud AI was co-developed with NVIDIA to enable fast and easy deployment of private AI applications with a focus on inferencing, retrieval-augmented generation (RAG), and fine-tuning.
