NVIDIA (NVDA) stock is up only 7% year-to-date while peer semiconductor stocks surge, with Marvell (MRVL) up 95%, Micron (MU) up 69%, and Advanced Micro Devices (AMD) up 43%, as investors rotate into memory, custom silicon, and networking plays to diversify their AI exposure beyond a single name.
NVIDIA’s $4.9 trillion market cap creates mathematical headwinds for significant gains, China export controls stranded $4.5 billion in H20 inventory, and the AI investment thesis is broadening across the semiconductor supply chain rather than concentrating in NVIDIA alone.
The analyst who called NVIDIA in 2010 just named his top 10 AI stocks. Get them here FREE.
Shares of NVIDIA (NASDAQ:NVDA) closed Thursday at $199.64, leaving the AI chip leader up just 7% year to date. NVIDIA shares trade only slightly above $200 on Friday morning. That’s a striking lag given the rest of the semiconductor complex is ripping higher on the same AI thesis NVIDIA pioneered.
The headline question matters. A $300 NVIDIA share price would require the stock to add roughly 50% from here and push it well above Wall Street’s $268.61 consensus target. NVIDIA’s 52-week high is $212.17, so $300 isn’t on any near-term map.
Every other name in the group is doing the heavy lifting this year. Peer semiconductor names are posting double or triple-digit year-to-date (YTD) gains while NVDA stock idles.
The analyst who called NVIDIA in 2010 just named his top 10 stocks. Get them here FREE.
Data through April 23 shows the gap clearly. Marvell Technology (NASDAQ:MRVL) is up 95% YTD, Micron Technology (NASDAQ:MU) is up 69%, Advanced Micro Devices (NASDAQ:AMD) is up 43%, Taiwan Semiconductor (NYSE:TSM) is up 26%, and Broadcom (NASDAQ:AVGO) is up 22%, while NVDA stock sits at 7%.
This is a 2026 timing story with the underlying thesis still intact. NVDA shares are still up 94% over one year, and Q4 FY26 revenue came in at $68.13 billion, up 73% year over year. Yet the stock fell 5% on the print, extending a pattern of muted reactions to clean beats.
Investors are diversifying how they own the AI theme rather than concentrating in NVIDIA alone. Memory, custom silicon, networking, and the foundry all capture AI capex without concentrating on a single name.
Marvell’s Q3 FY26 data center revenue jumped 38% YoY with over 50 active custom AI design opportunities across more than 10 hyperscalers. Micron’s cloud memory business nearly doubled to $5.28 billion, and Broadcom CEO Hock Tan is targeting $100 billion in AI sales by 2027.

