Oracle 2026 Financial Report Analysis: Strategic Transformation of a Database Company in the Era of AI Computing Power

Author: 137Labs

On March 10, 2026, Oracle released its financial results for the third quarter of fiscal year 2026. Following the release of the report, the company's stock price rose by nearly 10% in after-hours trading and the following day, making it one of the most closely watched earnings reports in the technology industry recently.

On the surface, this is just a quarterly result that exceeded market expectations. However, if viewed from a longer-term industry perspective, this financial report reveals more than just revenue growth; it reveals an ongoing strategic transformation: a company known for its database software for decades is attempting to redefine its role in the AI ​​era, shifting from a traditional enterprise software vendor to an AI computing infrastructure provider.

To understand this financial report, it needs to be viewed from three perspectives: financial data, industry trends, and corporate strategy.

I. Financial Overview: AI Demand Drives Better-than-Expected Results

According to publicly disclosed data, Oracle achieved revenue of approximately $17.2 billion in the third quarter of fiscal year 2026, representing a year-over-year increase of approximately 22%, significantly exceeding market expectations. Adjusted earnings per share were $1.79, representing a year-over-year increase of approximately 21%.

In terms of revenue structure, cloud services have become the company's most important growth driver. Oracle cloud service revenue reached approximately $8.9 billion, a year-on-year increase of 44%, accounting for more than half of the company's total revenue.

The most significant growth was seen in Oracle Cloud Infrastructure (OCI) business. OCI revenue increased by 84% year-over-year to approximately $4.9 billion, making it the company's fastest-growing segment.

At the same time, the company's future order backlog has seen explosive growth. Oracle disclosed that its remaining performance obligations (RPO) reached $553 billion, a year-on-year increase of 325%, meaning that the company has locked in a large amount of long-term contract revenue for the next few years.

In its earnings report, management also raised its long-term growth expectations, projecting that the company's revenue will reach approximately $90 billion by fiscal year 2027.

These figures suggest that Oracle is not only performing strongly in the short term, but has also established a high degree of certainty in its business growth over the next few years.

II. Cloud services become a new growth engine

Looking back at Oracle's business structure over the past decade, one can see that the company has undergone a significant change in its revenue structure.

For a long time, Oracle's core business has been database software and enterprise application software. Banks, telecommunications companies, governments, and large enterprises rely heavily on Oracle databases for their data systems, making the company one of the most stable vendors in the global enterprise software market.

However, with the rise of cloud computing, the traditional software licensing model has gradually been replaced by subscription-based cloud services. Oracle also began building its own cloud platform, Oracle Cloud Infrastructure, in the mid-2010s.

In the early years, Oracle's cloud business grew relatively slowly because the market had already been dominated by platforms such as Amazon AWS, Microsoft Azure, and Google Cloud.

However, the situation has begun to change in recent years. As enterprises increasingly migrate their databases to the cloud, Oracle has begun to leverage its customer base in the database market to drive cloud business growth. For enterprises already using Oracle databases, migrating their systems to the Oracle cloud is often more convenient.

At the same time, the explosive growth of the AI ​​industry has also changed the structure of cloud computing demand. Cloud platforms are no longer just software infrastructure for running websites or enterprise applications, but are gradually becoming AI computing platforms that provide GPU computing power, data centers, and high-performance networks.

Oracle has found new growth opportunities in this trend.

III. The explosive growth in AI computing power demand is reshaping the cloud computing landscape.

The rapid development of the AI ​​industry has created unprecedented demands for computing resources.

Large-scale language models, autonomous driving models, and various generative AI applications all require massive computing power for training and inference. Training a large model typically requires thousands or even tens of thousands of GPUs to work together, and these resources are often provided by cloud data centers.

Therefore, a structural change is taking place in the cloud computing industry: cloud platforms are not only software operating environments, but also AI computing infrastructure.

Oracle's OCI business has experienced rapid growth in this area. OCI not only provides traditional cloud services, but also GPU computing clusters, high-performance networks, and AI training platforms, making it a crucial infrastructure for AI companies to train models.

Some AI companies choose Oracle Cloud because of its high availability of GPU resources, strong network performance, and competitive costs. This has enabled Oracle to gradually establish its position in the AI ​​computing power market.

The financial report also reflects this trend. The OCI business grew at a rate of 84%, far exceeding the growth rate of traditional software business and the average growth rate of the global cloud market.

IV. Transformation of Database Companies into AI Infrastructure Companies

From a longer-term perspective, Oracle is undergoing a shift in its corporate positioning.

For decades, Oracle's most important product has been its databases. Enterprise data storage, transaction systems, and ERP systems rely heavily on Oracle database technology.

However, in the AI ​​era, data and computing power are becoming increasingly integrated. Enterprises not only need to store data, but also need to use this data to train models and build intelligent applications.

Oracle is attempting to leverage its strengths to build a new technology system that combines databases, cloud infrastructure, and AI computing power.

The logic behind this strategy is very clear. Since the company's data is already stored in an Oracle database, if this data is used directly for AI training and analysis on the Oracle Cloud, then the company can complete data management, model training, and application deployment on the same platform.

From a technological perspective, this is actually a transformation from a "database software company" to a "data and AI infrastructure platform".

V. The Strategic Bet Behind the Huge Investment

However, this transformation did not come without a price.

To meet the demands of AI computing power, Oracle is building data centers on a massive scale and procuring GPU equipment. The company expects capital expenditures to reach approximately $50 billion in fiscal year 2026 to expand its AI data centers and computing infrastructure.

These investments are unprecedented in Oracle's history. To raise funds, the company also plans to raise approximately $45 billion to $50 billion through bond and equity financing.

The risks associated with such massive investments have also drawn market attention. Some investors worry that if AI demand grows less than expected, these data centers may not be able to generate sufficient returns quickly.

In fact, prior to the release of the financial report, Oracle's stock price had fallen sharply due to the large scale of its investment, reflecting market concerns about its capital expenditure plans.

Therefore, Oracle's current strategy is more like a long-term gamble with "high investment and high returns".

VI. Changes in the Competitive Landscape of Cloud Computing

In the global cloud computing market, Oracle remains a follower.

For a long time, the cloud market has been dominated by three giants: Amazon AWS, Microsoft Azure, and Google Cloud. These three companies account for more than 60% of the global cloud infrastructure market.

Oracle entered the cloud market relatively late, so its overall market share is still relatively small.

However, the demand for AI computing power may bring about new changes in the industry landscape. Traditional cloud services emphasize software ecosystems and developer tools, while AI computing power relies more on GPU resources, data center scale, and high-performance networks.

In this field, new players still have the opportunity to gain market share.

Oracle is attempting to expand its cloud infrastructure business during this window of opportunity.

VII. Future Outlook: Can Oracle Become an AI Computing Power Giant?

Looking at Oracle's 2026 financial report, its transformation has begun to show results. Cloud business is growing rapidly, order backlogs are at an all-time high, and AI demand has become a significant driver of the company's performance growth.

However, this strategy is still in its early stages.

In the coming years, Oracle needs to prove three things: first, that the demand for AI computing power can continue to grow; second, that the company can gain a stable customer base in the cloud market; and third, that the huge capital investment can ultimately be converted into long-term profitability.

If these conditions are met, Oracle could transform from a traditional enterprise software vendor into a major player in the global AI infrastructure.

In the age of artificial intelligence, data, computing power, and cloud platforms are becoming new technological infrastructure. Oracle is attempting to leverage this trend to reshape its business model.

The 2026 financial report may just be the beginning of this transformation story.