| Previous Close | 34.73 |
| Open | 34.73 |
| Bid | 34.46 x 4600 |
| Ask | 34.47 x 9500 |
| Day's Range | 34.42 - 34.80 |
| 52 Week Range | 33.23 - 38.45 |
| Volume | 7,784,475 |
| Avg. Volume | 22,041,742 |
| Market Cap | 162.11B |
| Beta | 1.07 |
| PE Ratio (TTM) | 14.90 |
| EPS (TTM) | N/A |
| Earnings Date | N/A |
| Dividend & Yield | 1.09 (3.14%) |
| Ex-Dividend Date | 2017-05-03 |
| 1y Target Est | N/A |
- InvestorPlace•1 hour ago
Advanced Micro Devices, Inc. (AMD) Is an Innovation Machine
On Lisa Lu’s first earnings call as CEO of Advanced Micro Devices, Inc. (NASDAQ:AMD), back when AMD stock was languishing at less than $3 per share, she set forth a compelling strategy. At the time, Wall Street believed the company couldn’t take on bigger industry rivals including Intel Corporation (NASDAQ:INTC) and Nvidia Corporation (NASDAQ:NVDA).
- Forbes•2 hours ago
Massive Leak Reveals Three Intel 6-Core Processors: Biggest Upgrade In A Decade
Intel could be about to launch three six-core processors for its mainstream Z270 platform to do battle with AMD's Ryzen
- Barrons.com•2 hours ago
Nvidia: Canaccord Ups Target to $180 on Data Center Dominance
Canaccord Genuity’s Matthew Ramsay today reiterates a Buy rating on shares of Nvidia (NVDA), and hikes his price target to $180 from $155, after concluding the company should be to survive competition from in-house chips built by Alphabet’s (GOOGL) Google unit and others. Ramsay actually issued two notes to clients, one on Nvidia specifically, and another one that describes a conversation he hosted with investors about that company, and also about Intel (INTC), which he rates a Hold, and AMD (AMD), which he also rates a Buy. In those conversations, Ramsay was surprised by how much some investors are concerned that “custom” chips like Google’s “TPU” may threaten the GPU approach of Nvidia: Given NVDA shares were touching all-time highs during our lunch, we were surprised the sentiment in the room was quite skeptical as to whether in-house ASICs designed by cloud service providers (and potentially other vendors) would quickly take share from NVIDIA solutions in datacenter deep learning, AI model training and other applications.
