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International Business Machines Corporation (IBM)

NYSE - Nasdaq Real-time price. Currency in USD
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155.65+0.08 (+0.05%)
At close: 04:00PM EST
155.65 0.00 (0.00%)
After hours: 04:20PM EST
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Trade prices are not sourced from all markets
Previous close155.57
Bid155.62 x 1800
Ask155.71 x 1300
Day's range154.88 - 155.74
52-week range120.55 - 156.14
Avg. volume3,993,239
Market cap142.127B
Beta (5Y monthly)0.76
PE ratio (TTM)20.08
EPS (TTM)7.75
Earnings date23 Jan 2024 - 29 Jan 2024
Forward dividend & yield6.64 (4.27%)
Ex-dividend date09 Nov 2023
1y target est145.79
  • Zacks

    IBM Solution to Optimize Data Management for AI applications

    IBM's advance cloud database offering combines IBM Db2 database and Amazon RDS to optimize database management tasks and support AI workloads with ease.

  • Reuters

    Rapidus hunts for engineers to help Japan regain faded chip glory

    Government-backed Japanese chip foundry venture Rapidus is hunting high and low - including among industry veterans and overseas - to find engineers to help it revive a chip industry that was once the envy of the world. Underpinned by billions of dollars in subsidies, Rapidus aims to mass manufacture 2-nanometre logic chips, competing with industry leading companies such as Taiwan's TSMC, which has spent decades refining its processes. Securing engineers in a country with a declining population is among the most pressing issues for the company, which is partnering with IBM and research organisation Imec and in September broke ground at its fab on the northern island of Hokkaido.

  • PR Newswire

    IBM Collaborates with AWS to Launch a New Cloud Database Offering, Enabling Customers to Optimize Data Management for AI Workloads

    IBM (NYSE: IBM) announced today at AWS re:Invent 2023 that it has been working with Amazon Web Services (AWS) on the general availability of Amazon Relational Database Service (Amazon RDS) for Db2, a fully managed cloud offering designed to make it easier for database customers to manage data for artificial intelligence (AI) workloads across hybrid cloud environments.