This morning, the parking lot outside NVIDIA’s headquarters in Santa Clara appeared ordinary, with glass office buildings reflecting the pale California sun. Not a banner. No obvious hysteria. But within those structures, as well as on trading floors from Tokyo to New York, all eyes were focused on one document: today’s Nvidia earnings report.
On the surface, the figures were astounding. Revenue for the fourth quarter was $68.1 billion, a 73% increase over the previous year. Revenue for the entire year increased by 65% to $215.9 billion. Adjusted earnings per share exceeded forecasts, coming in at $1.62. Revenue from data centers alone increased to $62.3 billion. At those numbers, it’s difficult not to pause. Numbers from a semiconductor company would make oil giants cringe.
NVIDIA Q4 FY2026 Earnings – Quarterly Highlights
| Metric | Q4 FY2026 | Q3 FY2026 | Q4 FY2025 | Change Q/Q | Change Y/Y |
|---|---|---|---|---|---|
| Revenue (GAAP) | $68,127M | $57,006M | $39,331M | +20% | +73% |
| Gross Margin (GAAP) | 75.0% | 73.4% | 73.0% | +1.6 pts | +2.0 pts |
| Operating Expenses (GAAP) | $6,794M | $5,839M | $4,689M | +16% | +45% |
| Operating Income (GAAP) | $44,299M | $36,010M | $24,034M | +23% | +84% |
| Net Income (GAAP) | $42,960M | $31,910M | $22,091M | +35% | +94% |
| Diluted EPS (GAAP) | $1.76 | $1.30 | $0.89 | +35% | +98% |
| Revenue (Non-GAAP) | $68,127M | $57,006M | $39,331M | +20% | +73% |
| Gross Margin (Non-GAAP) | 75.2% | 73.6% | 73.5% | +1.6 pts | +1.7 pts |
| Operating Expenses (Non-GAAP) | $5,102M | $4,215M | $3,378M | +21% | +51% |
| Operating Income (Non-GAAP) | $46,107M | $37,752M | $25,516M | +22% | +81% |
| Net Income (Non-GAAP) | $39,552M | $31,767M | $22,066M | +25% | +79% |
| Diluted EPS (Non-GAAP) | $1.62 | $1.30 | $0.89 | +25% | +82% |
Source: NVIDIA press release “NVIDIA Announces Financial Results for Fourth Quarter and Fiscal 2026.”
Even so, the response seemed convoluted.
NVIDIA’s strength and waning expectations of Bank of Japan rate hikes helped the Nikkei 225 in Tokyo soar past 59,000 for the first time. Taking advantage of the momentum, Japanese tech stocks moved early. However, Nvidia’s stock moved sideways in some areas of the US market. A few investors appeared to be impressed. Some seemed to be restrained.
It seems as though meeting expectations has become nearly impossible.
Wearing his now-iconic black leather jacket, Jensen Huang said that the demand for computing was “growing exponentially.” He discussed the next turning point and AI factories. As you listen to him, you might think that this is only the beginning. The use of AI agents in enterprises is growing. Cloud giants are vying for access to the Vera Rubin and Blackwell chips. There are partnerships with Meta, Microsoft, AWS, and other companies.
However, there is also silent examination.
Inventory increased dramatically. Inventory levels on Nvidia’s balance sheet have increased to over $21 billion, which is about twice as much as the previous year. That raises a subtle question, but it’s not necessarily concerning because stock is necessary to scale production. Do consumers consume the supply at the same rate as it is produced? Or is some of this enthusiasm front-loaded?
It appears that investors think the AI rollout is still in its infancy. That belief was strengthened by the 75% year-over-year increase in data center revenue. The pace at which AI infrastructure is being built is unprecedented in the history of technology. Autonomous systems, inference farms, and training clusters are powered by GPU-filled warehouses. It’s a huge scale.
Markets, however, have a long history. There were also stories of exponential growth during the dot-com era. Although it’s unfair to compare the two because AI is already a part of business processes, the comparison is still brought up in discussions.
NVIDIA Fiscal 2026 – Full Year Summary
| Fiscal Measure | FY2026 | FY2025 | Year-Over-Year Change |
|---|---|---|---|
| Total Revenue (GAAP) | $215,938M | $130,497M | +65% |
| Gross Margin (GAAP) | 71.1% | 75.0% | -3.9 pts |
| Operating Expenses (GAAP) | $23,076M | $16,405M | +41% |
| Operating Income (GAAP) | $130,387M | $81,453M | +60% |
| Net Income (GAAP) | $120,067M | $72,880M | +65% |
| Diluted EPS (GAAP) | $4.90 | $2.94 | +67% |
| Total Revenue (Non-GAAP) | $215,938M | $130,497M | +65% |
| Gross Margin (Non-GAAP) | 71.3% | 75.5% | -4.2 pts |
| Operating Expenses (Non-GAAP) | $16,694M | $11,716M | +42% |
| Operating Income (Non-GAAP) | $137,300M | $86,789M | +58% |
| Net Income (Non-GAAP) | $116,997M | $74,265M | +58% |
| Diluted EPS (Non-GAAP) | $4.77 | $2.99 | +60% |
Source: NVIDIA press release data
The familiar tension hummed through trading desks outside the earnings call. Looking at the chart after hours, one portfolio manager muttered, “Great isn’t good enough anymore.” That may be the unspoken reality of Nvidia’s current standing. Records become routine when a company rises to the top of the global publicly traded firm value rankings.
The geopolitical layer adds even more complexity. It is noteworthy that Nvidia’s outlook does not include projections for data center compute revenue from China. The dynamics of U.S.-China trade are still unstable. The U.S. government recently permitted the restricted sale of specific cutting-edge chips under specific guidelines. But there is a lingering sense of uncertainty. The amount of unmet demand in Asia is still unknown.
NVIDIA is branching out from chips in the meantime. The quarter’s modest increase in automotive revenue to $604 million was fueled by alliances with self-driving platforms. By branching out into related fields like robotics, industrial AI, and open-source models, the company may be protecting itself from becoming overly dependent on data centers. It’s unclear if those segments can grow significantly.
For the fiscal year, free cash flow was $96.6 billion. Through dividends and repurchases, the company gave more than $41 billion back to shareholders. No, those aren’t startup figures. They are empire numbers.
As this is happening, it seems like Nvidia has evolved beyond just making chips. It is now the industrial phase of AI’s infrastructure. That position comes with a great deal of pressure and power.
For the quarter, gross margins were approximately 75%. That’s remarkable for hardware. However, the full-year gross margin decreased marginally from the previous year. In a market that has been conditioned to perfection, small changes like that are important.
First Quarter FY2027 Outlook (Guidance Provided)
| Metric | Forecast |
|---|---|
| Revenue (Expected) | ~$78.0 billion ± 2% |
| GAAP Gross Margin | ~74.9% ± 0.50 pts |
| Non-GAAP Gross Margin | ~75.0% ± 0.50 pts |
| Operating Expenses (Approx.) | ~$7.7B GAAP; ~$7.5B Non-GAAP |
| China Data Center Revenue Assumption | No revenue assumed from China in guidance |
Guidance from the NVIDIA press release.
Analysts on Wall Street raised serious concerns regarding long-term supply contracts, pricing discipline, and inferred demand. Huang answered with assurance, almost composure, as though the issues were well-known. They might be. NVIDIA has previously handled cycles, including GPU shortages, cryptocurrency collapses, and gaming booms. The scale feels different this time.
The story of AI now touches on national competitiveness, international capital flows, and macro policy. Something more significant than quarterly beats is indicated when Japan’s stock index reaches all-time highs, in part due to Nvidia’s earnings.
The true story may lie not only in revenue growth but also in the extent to which entire ecosystems have become reliant on Nvidia’s roadmap. Numerous companies are expanding on their architecture, including robotics companies, cloud providers, and AI startups. NVIDIA’s moat is strengthened by this centrality. It concentrates risk as well.
With a market value of almost $4.8 trillion, the stock reflects high expectations. The question of whether Nvidia will expand has been answered by the markets. They want to know how long growth can continue at this rate.
The headline stayed clear as traders turned off their screens this evening: record revenue, solid guidance, and unabated demand for AI. Nevertheless, the atmosphere was measured.
It’s difficult to ignore the feeling that Nvidia has entered a new stage as you watch this develop. The disruptor is no longer moving up the ranks. It serves as the standard. Furthermore, benchmarks are not afforded the luxury of surprise.