Nvidia Expected to Generate $368B in Revenue Over Next 4 Quarters

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Nvidia is projected to generate $368 billion in revenue over the next four quarters, with value investing in crypto analysts highlighting the stock’s strong risk-to-reward ratio. The data center segment raked in $51.2 billion in Q3 2026, with 73.5% gross margins. Union Bancaire Privée estimates data center revenue could hit $483 billion annually by 2030. However, some warn Nvidia’s AI profit share may peak in 2025 as hyperscalers develop custom chips, which could hurt pricing power and margins.

Analysts now expect Nvidia to pull in $368 billion in revenue over the next four quarters. To put that in perspective, that’s roughly the entire GDP of Ireland, generated by a single company selling chips.

The company currently commands over 80% of the AI accelerator market, and institutional investors are pricing in a world where that share translates into revenue figures that would have sounded like science fiction just three years ago.

The data center engine

In Q3 of fiscal year 2026, Nvidia’s data center segment alone generated $51.2 billion in revenue with gross margins of 73.5%.

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Union Bancaire Privée, the Swiss private bank, forecasts that Nvidia’s data center revenue alone could reach $483 billion annually by 2030. That projection assumes the broader global data center investment boom hits somewhere between $3 trillion and $4 trillion by the end of the decade.

The math behind the hype

The rough industry math works like this: an incremental $368 billion in chip investment would need to generate approximately $1.4 trillion in new revenue or cost savings by 2030 to hit a 10% return threshold.

What this means for investors

Analysts are increasingly warning that Nvidia’s share of AI industry profits may have already peaked in 2025. The competitive landscape is shifting in ways that could gradually erode the company’s market position, even as the overall AI market continues to expand.

The most significant threat comes from Nvidia’s own best customers. Hyperscalers like Google, Amazon, and Microsoft are all developing custom ASICs, application-specific integrated circuits designed to handle AI workloads without paying Nvidia’s premium pricing. Google’s TPUs are the most mature example, but Amazon’s Trainium chips and Microsoft’s Maia accelerators are gaining traction.

For inference workloads, which is where the volume growth is heading, custom chips are becoming increasingly competitive. AMD has been slowly gaining ground in the data center GPU space as well.

The risk scenario isn’t a collapse. It’s a margin compression story where Nvidia remains the dominant player but loses enough pricing power that its 73.5% gross margins start drifting toward something more pedestrian.

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