- Intel shares have surged this year amid the AI-driven data center boom, rising about 45% year-to-date and roughly 146% since January 2026.
- Investors who bought before last year’s rally show gains near a 145% return; a $1,000 stake last January would be about $2,450 now.
- Intel traded as low as $19.05 in February 2025 but has rebounded after CEO Lip-Bu Tan pushed a company reset.
- Analysts expect Q4 2025 revenue of $13.4 billion and adjusted EPS of $0.08, with data center revenue seen rising over 30% to $4.43 billion for the quarter ended December.
- Market forecasts allow for an 8% swing either way; an upside move could send the stock toward $59, while shares were up 11% on Wednesday.
Intel has seen a sharp stock rebound as investors link the company to AI-driven data center demand ahead of its Q4 2025 earnings call scheduled for Thursday. The rally follows a management reset under CEO Lip-Bu Tan and comes as analysts watch for proof that the firm can match chip demand with improved manufacturing.
Shares are up about 45% year-to-date and roughly 146% since January 2026, according to the reporting. The stock hit a low of $19.05 in February 2025 before the turnaround. Investors who bought before last year’s rally show returns near 145%; a $1,000 investment last January would be worth about $2,450 at press time.
Wall Street projections for the quarter call for $13.4 billion in revenue and adjusted EPS of $0.08. The data center business is expected to grow sharply, with revenue forecast to rise more than 30% to $4.43 billion for the quarter ended December, while PC sales are seen edging up to $8.21 billion.
The recent gains have lifted Intel back into the spotlight after rivals such as NVIDIA and AMD dominated headlines during the company’s earlier struggles. Analysts note an expected 8% potential swing in the stock’s next move; an upside of that magnitude could push shares to about $59.
At press time, Intel was up 11% on Wednesday as investors awaited the earnings call for confirmation that the company can capitalize on AI-related data center buildouts while addressing manufacturing challenges.
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