Nvidia delivers another sales and earnings beat in Q1, with strong Q2 revenue guidance
Shareholder returns are going up too!
Nvidia is whipsawing in postmarket trading after reporting better-than-expected Q1 results along with strong sales guidance for Q2.
Fiscal Q1 2027 marked the chip designer’s 15th consecutive top-line beat and 14th straight quarter in which the company posted adjusted earnings per share above what Wall Street had penciled in.
Management also boosted its buyback authorization by $80 billion and raised the quarterly dividend to $0.25 from $0.01.
During the conference call, analysts will be looking for potential upside to CEO Jensen Huang’s March announcement that sales of Blackwell and Rubin chips (as well as associated networking equipment) would top $1 trillion through 2027.
In particular, the outlook for its Vera CPUs as well as for products developed with Groq’s capabilities will be in focus as fresh avenues for even more growth. Both address parts of the supply chain that are seemingly facing more constraints than GPUs — CPUs thanks to the particular compute requirements of AI agents, and memory as widening context windows reduce the speed of models and increase token usage.
With this quarterly report, Nvidia is unveiling a new framework for how it reports sales: a data center segment, and edge computing. The latter segment includes “data processing devices for agentic and physical AI” — perhaps a hint that Huang’s expected evolution of demand going from agentic AI to physical AI will be reflected more meaningfully in Nvidia’s financials going forward.
For the past few quarters, Nvidia has enjoyed an initial pop following earnings only to see that fizzle out thereafter — sometimes because of what Huang has said, and other times for seemingly no reason whatsoever.
Nvidia, the First Big Thing in the AI boom, was the second-best performer in the Magnificent 7 in 2026 heading into this report, up about 20%. However, it’s more of a laggard (and a dullard) relative to its semiconductor peers, as traders have been more aggressively bidding up companies tied to memory, networking, and CPUs that are benefiting from AI-induced shortages.
