Nvidia Shares Slide Premarket After Multibillion-Dollar Optics Deals
Nvidia Corporation shares fell sharply in premarket trading Tuesday after the AI chip giant announced separate $2 billion investment agreements with photonics companies Lumentum Holdings and Coherent Corp., bringing its total outlay to $4 billion. The deals, announced Monday, are structured as multi-year agreements aimed at accelerating advanced optics technologies for next-generation AI infrastructure. While the investments underscore Nvidia’s aggressive push to dominate the AI hardware ecosystem, markets responded cautiously, sending shares lower as investors weighed the scale of capital deployment against near-term returns.
Nvidia’s $4 Billion Bet on Photonics and AI Infrastructure
Nvidia is investing $2 billion apiece in Lumentum Holdings and Coherent Corp. as part of separate multi-year agreements that include multibillion-dollar purchase commitments and future capacity access rights for advanced laser and optical networking products.
The companies noted that optical-connection technologies are considered critical to the next phase of AI infrastructure, enabling ultrahigh-bandwidth, energy-efficient connectivity across AI networks. The deals will fund research and development, expand operational capacity, and support the build-out of U.S. manufacturing facilities, with Lumentum’s CEO confirming plans to invest in a new fabrication facility to increase production capacity.
The strategic rationale behind the investments reflects Nvidia’s broader ambition to extend its lead in the fast-moving AI hardware industry at a time when major cloud providers are increasingly developing custom silicon. Photonics, which uses light rather than electrical signals to create connections between AI chips, has emerged as a key frontier for chipmakers seeking to meet rising inference demands.
The move follows a similar industry trend: Marvell Technology previously acquired semiconductor startup Celestial AI in a $3.25 billion deal targeting photonics capabilities. These deals are part of a wider pattern of Nvidia deploying its substantial cash reserves, reported at $62.56 billion, into the AI ecosystem.
The company also recently contributed $30 billion to OpenAI’s record-breaking $110 billion financing round, alongside $50 billion from Amazon and $30 billion from SoftBank, signaling its commitment to reinforcing demand across the entire AI value chain.
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NVDA Stock Brief: Premarket Move and Valuation Snapshot
Nvidia shares were trading at $177.21 in premarket as of 4:40 AM EST on Tuesday, March 3, down $5.16 or 2.83% from the prior session’s close of $182.48. Monday’s close itself had already reflected a degree of caution, with the stock trading in a day range of $174.64 to $183.46.
Year-to-date, NVDA is down approximately 2.16%, underperforming the S&P 500’s modest gain of 0.53% over the same period, though its one-year return of 46.12% remains well ahead of the broader index’s 15.57%. Despite the near-term softness, Nvidia’s fundamental picture remains robust.
The company posted Q4 FY2026 revenue of $68.13 billion and earnings of $39.55 billion, beating analyst EPS estimates of $1.54 with an actual figure of $1.62. Trailing twelve-month revenue stands at $215.94 billion, with a profit margin of 55.60% and a return on equity of 101.49%. The stock carries a trailing P/E of 37.24 and a forward P/E of 22.83, suggesting the market still prices in significant growth ahead.
Analyst sentiment remains broadly positive, with an average 12-month price target of $264.25, representing substantial upside from current premarket levels. JP Morgan maintained its Overweight rating as recently as February 26, raising its price target from $250 to $265. The top analyst rating from Rosenblatt sits at 82 out of 100 with a Buy recommendation, and the analyst consensus skews heavily toward Strong Buy and Buy ratings across December through March tracking periods.
Disclaimer: The author does not hold or have a position in any securities discussed in the article. All stock prices were quoted at the time of writing.