U.S. Markets close in 2 hrs 36 mins

Intel Corporation (INTC)


NasdaqGS - NasdaqGS Real Time Price. Currency in USD
Add to watchlist
34.42-0.31 (-0.88%)
As of 1:24PM EDT. Market open.
People also watch
CSCOIBMPFEMSFTGE
Full screen
Previous Close34.73
Open34.73
Bid34.46 x 4600
Ask34.47 x 9500
Day's Range34.42 - 34.80
52 Week Range33.23 - 38.45
Volume7,784,475
Avg. Volume22,041,742
Market Cap162.11B
Beta1.07
PE Ratio (TTM)14.90
EPS (TTM)N/A
Earnings DateN/A
Dividend & Yield1.09 (3.14%)
Ex-Dividend Date2017-05-03
1y Target EstN/A
Trade prices are not sourced from all markets
  • Advanced Micro Devices, Inc. (AMD) Is an Innovation Machine
    InvestorPlace1 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).

  • Forbes2 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.com2 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.