Nvidia's Next Big Test: Can Ordinary Businesses Pick Up Where Amazon and Google Leave Off?
Nvidia earns most of its money from a handful of giant tech companies. Investors watching Wednesday's earnings want proof that thousands of smaller firms are finally starting to spend too.
Key points
- Nvidia reports fiscal second-quarter earnings on Wednesday, with analysts expecting revenue of $92.2 billion, nearly double a year earlier.
- Five or six hyperscalers (Amazon, Google, Microsoft, Meta and SpaceX) account for roughly 55% of Nvidia's data centre sales.
- In Q1 2026, Nvidia's non-hyperscaler customers generated $37.5 billion in revenue, growing 31% quarter-on-quarter versus 12% growth from hyperscalers.
- Amazon, Alphabet and Meta all reported shrinking or negative free cash flow in Q2 2026, raising questions about how much more they can spend.
- Nvidia recently signed agreements with six financial firms to unlock up to $500 billion in chip financing for smaller buyers.
Nvidia makes the specialised computer chips, called GPUs (graphics processing units), that power almost every major AI system running today. It has turned that position into a company worth $5 trillion. But that wealth rests on a narrow base.
Why does customer concentration matter?
A handful of companies buy the vast majority of Nvidia's chips. Lose one or two of them, and the numbers move sharply.
Nvidia's biggest customers are the hyperscalers: Amazon, Google and Microsoft. Add Meta and SpaceX, and you have five or six companies responsible for more than half of all data centre chip sales. Data centre chips now make up 94% of Nvidia's total revenue, so the maths are stark.
In Q1 2026, hyperscaler sales reached $37.9 billion. The rest of the market, which Nvidia now labels ACIE (AI clouds, industrial and enterprise customers), came in just behind at $37.5 billion.
The ACIE group grew faster, up 31% from the previous quarter versus 12% for hyperscalers. That is the trend investors want to see accelerate.
Should investors be worried right now?
Possibly. Several of Nvidia's biggest customers showed financial strain in the most recent quarter.
Amazon and Alphabet both posted negative cash flow in Q2. Meta's cash generation fell more than 90% year-on-year. SpaceX and Tesla also reported negative free cash flow. Gene Munster, managing partner at Deepwater Asset Management, told CNBC: "The hyperscalers just can't give much more."
Nvidia shares fell 2.9% on Monday, the seventh consecutive day of losses and the longest losing streak since 2022, leaving the stock down 7.5% over that stretch.
What is Nvidia doing to broaden its customer base?
It is trying to make buying chips affordable for companies that cannot write a billion-dollar cheque.
Nvidia announced a programme with six financial firms this month to offer up to $500 billion in financing to businesses that want GPU access. The idea: treat chips like real estate, assets that generate returns and can back a loan. Analyst Stacy Rasgon at Bernstein called the plan promising but thin on detail, telling CNBC it needs more specifics "to put some investors' minds at ease."
A new product line, the Vera Rubin GPU system, is also starting to ship. CEO Jensen Huang told developers at Nvidia's GTC conference earlier this year that he expects $1 trillion in sales from the current Blackwell and Vera Rubin generations through 2027.
Analysts at KeyBanc, who recommend buying the stock, wrote over the weekend that "ramping Rubin GPU shipments" are the key factor that could push results above expectations.
| Metric | Q1 2026 actual | Q2 2026 estimate |
|---|---|---|
| Total revenue | ~$44B | $92.2B |
| Hyperscaler revenue | $37.9B | $43.6B (est. +83% YoY) |
| ACIE revenue | $37.5B | $43B (est. +149% YoY) |
| Data centre share | 92% | 94% |
What does this mean for smaller businesses and workers?
If Nvidia's financing programme works, access to AI computing could get cheaper and more widely available. Right now, renting serious AI computing power is expensive precisely because demand outstrips supply and only giant firms can buy in bulk. More lenders competing to fund chip purchases could, over time, lower the cost of building AI tools for mid-sized businesses.
That said, the financing plan is still at the letter-of-intent stage. No binding contracts, no confirmed rates, no timeline.
The one honest takeaway: If you run a business and AI computing costs feel out of reach, watch how Nvidia's financing programme develops over the next two quarters. It is the most concrete attempt yet to bring GPU access within reach of companies that are not Amazon or Google.
