Previous close | 161.10 |
Open | 160.76 |
Bid | 161.37 x 1800 |
Ask | 161.48 x 800 |
Day's range | 160.72 - 161.98 |
52-week range | 120.55 - 162.79 |
Volume | |
Avg. volume | 4,124,282 |
Market cap | 147.77B |
Beta (5Y monthly) | 0.77 |
PE ratio (TTM) | 20.88 |
EPS (TTM) | 7.75 |
Earnings date | 23 Jan 2024 - 29 Jan 2024 |
Forward dividend & yield | 6.64 (4.12%) |
Ex-dividend date | 09 Nov 2023 |
1y target est | 147.43 |
IBM (NYSE: IBM) has a dismal reputation as a long-term investment. IBM repeatedly failed to impress investors as the sluggish growth of its legacy infrastructure services, hardware, and business software units offset the stronger growth of its newer cloud-based services. Its myopic commitment to cutting costs and boosting its earnings per share (EPS) with buybacks also caused it to fall behind Amazon, Microsoft, and Alphabet's Google in the growing public cloud infrastructure market.
Facebook parent Meta and IBM on Tuesday launched a new group called the AI Alliance that’s advocating for an “open science” approach to AI development that puts them at odds with rivals Google, Microsoft and ChatGPT-maker OpenAI. "So it’s not like a thing that is locked in a barrel and no one knows what they are.” WHAT'S OPEN-SOURCE AI? The term “open-source” comes from a decades-old practice of building software in which the code is free or widely accessible for anyone to examine, modify and build upon.
Quantum computers harness the mind-bending probability of subatomic particles existing in multiple states simultaneously. General purpose quantum computers remain a fantasy. This week, IBM attempted to lay out a road map for the practical application of quantum computing, claiming that it could provide error-free calculations by the end of the decade.