Nvidia Earnings Date 2026: NVDA Results, AI Revenue, Data Center Growth and Stock Outlook

By IFAZ Moshaddik | Market Strategist at AurixFinance News | Updated August 29, 2026

The latest Nvidia earnings date became one of the most closely watched events in the global technology market. NVIDIA released its second-quarter fiscal 2027 financial results on August 26, 2026.

The company reported revenue of $96.2 billion, up 106% from the same period one year earlier.

Data Centre revenue reached $89.0 billion, representing annual growth of 117%.

The numbers confirmed that demand for artificial intelligence infrastructure remains extremely high.

NVIDIA also issued third-quarter revenue guidance of approximately $108 billion.

For investors following NVDA's 2026 earnings, the latest report provides more than just a quarterly update. It offers a detailed measurement of global spending on AI infrastructure.

Large cloud companies, AI laboratories, enterprise customers and government-backed computing projects continue to purchase advanced GPUs and related networking systems.

My analysis focuses on one central question: can NVIDIA continue to expand at this scale while managing supply constraints, margin pressure, competition, and rising investor expectations?

Nvidia Earnings Date and Reporting Details

The latest Nvidia earnings date was August 26, 2026.

NVIDIA released financial results for the second quarter of fiscal 2027.

The quarter ended on July 26, 2026.

The company released its written earnings commentary before its conference call.

The conference call took place at 2:00 p.m. Pacific Time, equivalent to5:00 p.m. Eastern Time.

The August 26 event was sometimes incorrectly described as a Q3 earnings release in search queries and on financial calendars.

NVIDIA's official investor relations information identifies the event as the company's Q2 fiscal 2027 earnings release.

Investors can review official results and future events through NVIDIA Investor Relations.

Nvidia Q2 Fiscal 2027 Results

The latest NVDA earnings report for 2026 showed extraordinary revenue growth.

NVIDIA generated total quarterly revenue of $96.2 billion.

The result represented an 18% increase from the previous quarter and a 106% increase from one year earlier.

GAAP gross margin reached 75%.

Non-GAAP gross margin also reached 75%.

GAAP diluted earnings per share reached $2.46.

Non-GAAP diluted earnings per share reached $2.22.

For the technology sector, the most important number was Data Centre revenue.

AI computing infrastructure now represents the dominant source of NVIDIA's revenue.

Nvidia Data Centre Revenue Reaches $89 Billion

NVIDIA generated $89 billion in Data Centre revenue during the quarter.

The segment grew 117% compared with the same quarter one year earlier.

This segment includes GPUs, networking equipment, computing systems and infrastructure used by cloud providers and AI companies.

The scale of the Data Centre business shows how rapidly AI infrastructure spending has expanded.

Several years ago, gaming hardware represented a major part of NVIDIA's identity.

The company's financial structure has changed substantially.

Today, AI infrastructure accounts for the majority of NVIDIA's revenue.

Hyperscale Customers

NVIDIA reported approximately $49 billion in hyperscale revenue.

Major cloud providers continue to purchase NVIDIA systems to build AI infrastructure.

Companies such as Amazon Web Services, Microsoft Azure, Google Cloud and Oracle operate large AI computing environments.

These companies need massive GPU capacity for AI training and inference workloads.

Enterprise and AI Cloud Customers

NVIDIA also reported strong growth from enterprise customers, AI startups and specialised cloud companies.

The company described this group as part of its ACIE business, which includes AI cloud providers, industrial customers and enterprise organisations.

ACIE revenue reached approximately $40 billion.

The segment increased 25% from the previous quarter and 138% from the previous year.

AI Infrastructure Demand Remains Extremely High

The latest tech stocks earnings cycle has focused heavily on artificial intelligence spending.

NVIDIA sits near the centre of that spending because its GPUs provide computing capacity for large AI models.

AI companies need enormous amounts of computing power.

Training large models requires thousands of interconnected GPUs.

Inference systems also require large computing clusters when millions of users access AI applications.

NVIDIA benefits from both types of demand.

The company stated that its computing systems remain fully utilised across cloud providers.

Management also described the current outlook as supply constrained.

This means customer demand exceeds the amount of hardware NVIDIA can currently deliver.

For investors, supply constraints create two opposing effects.

High demand supports revenue growth.

Limited component availability can increase production costs and restrict the revenue the company can recognise.

Blackwell, Vera and the Next Hardware Cycle

NVIDIA continues to expand beyond individual GPUs.

The company increasingly sells complete AI computing platforms.

These systems combine GPUs, CPUs, networking technology and software.

Blackwell remains one of the company's major AI computing platforms.

NVIDIA is also preparing its Vera and Rubin product generation.

Future demand will depend on whether customers continue upgrading to newer systems.

The company believes AI computing demand will continue expanding because customers require more processing power for larger models and more complex applications.

The transition from training models to running large-scale AI services could create another source of hardware demand.

Physical AI

NVIDIA is also expanding into robotics and physical AI.

The company provides computing tools for robots, industrial automation and autonomous systems.

This strategy creates potential revenue sources outside traditional data centres.

However, these markets remain smaller than NVIDIA's current cloud AI business.

Investors should avoid assuming that every AI category will produce revenue at the same level as the current data centre boom.

AWS and NVIDIA Partnership Expansion

On August 26, 2026, Amazon Web Services and NVIDIA announced an expansion of their technology relationship.

AWS plans to deploy an additional 2 million NVIDIA GPUs across its global infrastructure.

The deployment is expected to begin during the current period and continue through the second quarter of fiscal 2029.

The agreement includes NVIDIA computing hardware, CPUs, networking systems, AI models and robotics technology.

The agreement gives investors another indication of expected long-term demand for AI infrastructure.

However, investors should remember that large deployment announcements may occur over multiple years.

A headline about millions of GPUs does not necessarily mean that all revenue will appear in the same quarter.

Nvidia Q3 Revenue Guidance

NVIDIA expects third-quarter revenue of approximately $108 billion.

The guidance exceeds many previous Wall Street expectations.

The forecast implies continued growth in AI infrastructure spending.

NVIDIA's management also indicated that revenue could increase by approximately 70% during fiscal 2028.

That forecast attracted attention because it suggests the company expects AI infrastructure spending to remain elevated for another year.

The projection should still be treated as management guidance rather than a guaranteed result.

AI capital spending depends heavily on corporate budgets, economic conditions and the financial performance of NVIDIA's largest customers.

Gross Margin and Memory Cost Pressure

NVIDIA reported a gross margin of 75% during the latest quarter.

The company expects margin pressure as memory component costs increase.

Management indicated that gross margins could move toward approximately 71%-72% during the fourth quarter.

Higher component costs can reduce profitability even when revenue continues increasing.

This is an important issue for NVDA investors.

Revenue growth receives the most attention during earnings season.

Profit margins determine how much of that revenue becomes operating income and earnings.

Nvidia Stock Price and Investor Analysis

The NVIDIA stock price remains highly sensitive to earnings expectations.

NVIDIA has become one of the largest companies in the global equity market.

That scale creates a difficult comparison problem.

As a company becomes larger, investors expect increasingly large amounts of new revenue to maintain the same growth rate.

NVIDIA has continued to exceed those expectations.

The latest quarter produced more than $96 billion in revenue.

The company's Q3 guidance projects approximately $108 billion in revenue.

Those numbers explain why NVDA remains central to AI stock investing.

However, investors should separate business quality from stock valuation.

A company can report strong revenue growth while its stock declines if the market expected even higher numbers.

The price of NVDA shares therefore depends on three major factors.

1. Revenue Growth

Investors want to know whether demand for AI infrastructure can continue to expand.

2. Profit Margins

Higher memory and component costs could reduce gross margins.

3. Valuation Expectations

High-growth companies often trade at premium valuations. A slowdown in growth can cause the market to reduce the earnings multiple.

AI Stock Investing Framework

Investors interested in NVIDIA should analyse the company within the broader AI infrastructure market.

The AI supply chain includes semiconductor companies, memory producers, cloud providers, networking companies, data centre operators and electricity infrastructure providers.

NVIDIA operates near the centre of this system because its hardware provides much of the computing capacity used for advanced AI models.

Demand Questions

• Are hyperscale companies increasing AI capital expenditures?
• Are enterprise customers adopting AI systems?
• Are AI startups generating enough revenue to support infrastructure spending?
• Will governments continue funding sovereign AI projects?

Supply Questions

• Can NVIDIA obtain enough advanced memory?
• Can manufacturing partners increase chip production?
• Will supply constraints delay customer deployments?
• Will higher component costs reduce gross margins?

Competition Questions

• Can AMD gain market share in the AI accelerator market?
• Will Google expand internal TPU usage?
• Will Amazon increase the use of custom AI chips?
• Will Microsoft and Meta develop more internal semiconductor hardware?

Competition in the AI Chip Market

NVIDIA remains the dominant company in high-performance AI computing.

Dominance does not mean competition has disappeared.

AMD continues developing AI accelerators.

Google uses its own TPU chips.

Amazon has developed custom chips for cloud computing.

Other large technology companies are investing in internal hardware projects.

The competitive issue is not necessarily whether another company can immediately replace NVIDIA.

The larger question is whether custom chips reduce the percentage of global AI spending directed toward NVIDIA hardware.

NVIDIA's advantage comes from more than GPU performance.

The company also provides CUDA software, networking products, and complete AI infrastructure systems.

That integrated system makes switching costs higher for many customers.

Investors should still monitor market share, as large customers have financial incentives to reduce their dependence on a single supplier.

China and Export Restrictions

China remains another source of uncertainty.

U.S. export restrictions have affected NVIDIA's ability to sell certain advanced AI chips in the Chinese market.

NVIDIA stated that it did not assume Data Centre computing revenue from China in some parts of its financial outlook.

This creates a difficult situation.

China represents a large technology market.

Export restrictions limit NVIDIA's access to that market, while local Chinese companies continue to develop alternative AI hardware.

Investors should monitor policy changes because export regulations can affect revenue forecasts with limited warning.

What the Latest Nvidia Earnings Tell Investors

The latest NVIDIA earnings report produced several measurable conclusions.

First, demand for AI infrastructure remains extremely strong.

Second, Data Centre revenue remains the company's dominant growth engine.

Third, NVIDIA expects another large increase in revenue during the next fiscal year.

Fourth, supply constraints remain a limitation.

Fifth, memory costs could reduce gross margins.

Sixth, NVIDIA faces increasing competition from custom AI hardware and competing semiconductor companies.

Seventh, China remains a geopolitical and regulatory risk.

The investment case, therefore, depends on whether NVIDIA can maintain its technological advantage while converting AI infrastructure demand into long-term profits.

Commissioning and Testing Style Earnings Checklist

• ☐ Confirm the official NVIDIA earnings date.
• ☐ Verify the correct fiscal quarter.
• ☐ Compare quarterly revenue with prior-year revenue.
• ☐ Review DatCentreer revenue separately.
• ☐ Compare GAAP and non-GAAP EPS.
• ☐ Monitor gross margin changes.
• ☐ Review revenue guidance.
• ☐ Track hyperscale customer spending.
• ☐ Monitor supply constraints.
• ☐ Check advanced memory pricing.
• ☐ Review competition from custom AI chips.
• ☐ Monitor China export regulations.
• ☐ Compare NVDA valuation with expected earnings growth.
• ☐ Review long-term investment risks before making decisions.

Technical Glossary

1. GPU

GPU means Graphics Processing Unit. Modern AI systems use GPUs because they can process many calculations simultaneously.

2. EPS

EPS means Earnings Per Share. It measures the amount of profit allocated to each outstanding share.

3. GAAP

GAAP means Generally Accepted Accounting Principles. Public companies use these accounting rules when preparing official financial statements.

4. TPU

TPU means Tensor Processing Unit. Google developed this specialised processor for machine learning and AI workloads.

5. CAPEX

CAPEX means Capital Expenditure. Companies use this term to describe money spent on long-term physical assets such as data centres and computing equipment.

Frequently Asked Questions About Nvidia Earnings

Final Review

The latest Nvidia earnings report produced one of the strongest quarterly reports in the technology sector during 2026.

Revenue reached $96.2 billion.

Data Centre revenue reached $89 billion.

Both figures showed continued expansion in global AI infrastructure spending.

NVIDIA's guidance for approximately $108 billion in third-quarter revenue suggests that demand remains strong.

The company also expects approximately 70% revenue growth during fiscal 2028.

Investors should not ignore the risks.

Higher memory prices may reduce gross margins. Supply constraints could limit deliveries. Large technology companies are developing custom AI chips. China remains subject to export restrictions.

The central question for NVDA investors is whether AI infrastructure spending can remain high enough to support NVIDIA's current growth rate.

Based on the latest earnings data, demand remains strong. The next quarters will determine whether NVIDIA can convert that demand into sustained revenue growth while protecting profitability.

Authoritative Sources

• NVIDIA Official Q2 Fiscal 2027 Earnings Release
• NVIDIA Official Earnings Conference Call Information
• NVIDIA Investor Relations
• AWS and NVIDIA 2 Million GPU Infrastructure Announcement