NVIDIA Corporation (NASDAQ:NVDA) is one of the Best Stocks to Buy for High Returns in 2026. On January 8, Harsh Kumar from Piper Sandler reiterated a Buy rating on the stock with a $225 price target. Earlier on January 6, Harlan Sur from J.P. Morgan also maintained a Buy rating on NVIDIA Corporation (NASDAQ:NVDA) without disclosing any price targets.
Analyst Sur from J.P. Morgan noted that the company’s sustained demand growth and expanding growth drivers are the main factors behind his bullish rating. He added that the current demand for the company’s products exceeds the calendar year 2027. Management disclosed that its 2026 backlog for Blackwell, Rubin, and related networking products exceeds $500 billion for 2026. The analyst noted that this amount has seen significant upside, driven by new customer deals and agreements.
Sur added that the investment case for NVIDIA Corporation (NASDAQ:NVDA) remains strong, driven by its strategic position in the Physical AI segment, which substantially increases its total addressable markets. The analyst acknowledged that while the uncertainty regarding China export licenses persists, any approvals will only increase the company’s demand and will add to its market size.
NVIDIA Corporation (NASDAQ:NVDA) is a semiconductor company. It designs GPUs and data center solutions, which are widely used for training and running large-scale AI models. NVIDIA’s CUDA software platform and AI-focused hardware provide the computational power required for generative AI, machine learning, and high-performance computing applications.
While we acknowledge the potential of NVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now.
Disclosure: None. This article is originally published at Insider Monkey.