Nvidia's $96 Billion Quarter: What the AI Build-Out Means for Businesses

Quick answer: Nvidia reported record revenue of $96.2 billion for the quarter ended 26 July 2026, up 106% on a year earlier, with $89.0 billion from data centres. It expects about $108 billion next quarter. For businesses, the message is that the capacity behind AI services is growing very fast, which supports more capable and more affordable AI tools.

Nvidia makes most of the chips that train and run today’s AI models, so its results are one of the clearest signals of how fast businesses and cloud providers are investing in AI. Its latest quarterly results, published on 26 August 2026, set another record.

The numbers at a glance

Four quarters of growth

The chart below shows Nvidia’s total revenue for its last four reported quarters. Nvidia’s fiscal year runs roughly from February to January, so “fiscal 2027” mostly covers calendar year 2026.

What is driving the growth

Almost all of the growth comes from data centres: the large computing facilities run by cloud providers and AI companies to train and run AI models. Nvidia’s chief executive, Jensen Huang, summed up the company’s view in the results announcement: “AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue.”

He also said “the AI infrastructure buildout is at full steam”, and that its next-generation Vera Rubin platform is now in full production.

What this means for businesses using AI

Most businesses will never buy an Nvidia chip. They use AI through cloud services, software tools and models from companies such as OpenAI, Google and Anthropic, which run on this infrastructure. The practical effects are indirect but real:

• More capacity for AI services. The providers behind the AI tools you use are adding large amounts of computing capacity.
• More capable models, arriving faster. September alone saw several major model launches. See our round-up of September’s AI model releases.
• Better value per task. Newer models are often launched at the same or lower prices than the ones they replace, which makes more processes worth automating.
• A reason to plan now. Your competitors have access to the same tools. The advantage goes to businesses that connect AI to their real processes first.

What to watch next

Nvidia usually reports its October-quarter results in late November. The key number is whether revenue lands near the roughly $108 billion outlook, and what the company says about demand for Vera Rubin. For businesses, the more useful signal will be the pace of new AI models and the prices at which they are offered.

Frequently asked questions

How much revenue did Nvidia make last quarter?

Nvidia reported revenue of $96.2 billion for the second quarter of fiscal 2027, which ended on 26 July 2026. That was up 18% from the previous quarter and 106% from a year earlier.

Why does Nvidia matter to businesses that do not buy chips?

Nvidia’s chips power most of the data centres that run AI services. Its results show how quickly the capacity behind AI tools is growing, which affects how capable and affordable those tools become.

Is this article investment advice?

No. It explains what the published results show about AI adoption for businesses. It does not recommend buying or selling any shares.

We help businesses put AI to work in their sales, support and operations. See our AI automation services or get a free consultation.

This article is for general information about technology and business. It is not investment advice and does not recommend buying or selling any shares.