前收市價 | 156.32 |
開市 | 155.32 |
買盤 | 157.24 x 1000 |
賣出價 | 158.15 x 1100 |
今日波幅 | 154.90 - 159.90 |
52 週波幅 | 49.78 - 201.00 |
成交量 | |
平均成交量 | 529,915 |
市值 | 5.176B |
Beta 值 (5 年,每月) | 1.74 |
市盈率 (最近 12 個月) | 25.12 |
每股盈利 (最近 12 個月) | 6.28 |
業績公佈日 | 2023年10月31日 - 2023年11月06日 |
遠期股息及收益率 | 無 (無) |
除息日 | 無 |
1 年預測目標價 | 216.00 |
The semiconductor industry is experiencing a strong demand for chips across various sectors, such as automotive, cloud computing and artificial intelligence. While there is a lot of talk semiconductor stocks such as Nvidia’s (NASDAQ:NVDA), or the potential of AMD (NASDAQ:AMD), there is little ranting or raving about the equipment needed to manufacture or test these chips before they hit the shelves. Nonetheless, as the technology trends evolve and the chip complexity increases, semiconductor man
Artificial intelligence is an innovative technology with incredible potential. This is evidenced by stock investors who have made plenty of money investing in popular AI stocks like Nvidia (NASDAQ:NVDA). Yet as the technology advances, a certainty is apparent. It becomes more difficult to experience incredible gains as corporations become larger. Nvidia isn’t a small stock anymore, and it hasn’t been in that category for several years. The corporation has a $1.2 trillion market cap that can real
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