Author: 137Labs
On March 10, 2026, Oracle released its third-quarter financial report for fiscal year 2026. Following the earnings announcement, the company's stock price rose nearly 10% in after-hours and the next day's trading, making it one of the most closely watched financial reports in the tech industry recently.
On the surface, this appears to be merely a quarterly performance that exceeded market expectations. However, when viewed from a longer-term industry perspective, this report reveals more than just growth in performance—it highlights an ongoing corporate strategic transformation: a company renowned for decades for its database software is attempting to redefine its role in the AI era, transitioning from a traditional enterprise software vendor to a provider of AI computing infrastructure.
Understanding this financial report requires examining it on three levels: financial data, industry trends, and corporate strategy.
I. Financial Report Overview: AI Demand Drives Performance Beyond Expectations
According to publicly disclosed data, Oracle achieved revenue of approximately $17.2 billion in the third quarter of fiscal year 2026, a year-over-year increase of about 22%, significantly surpassing market expectations. Adjusted earnings per share were $1.79, up approximately 21% year-over-year.
In terms of revenue structure, cloud business has become the company's most important growth driver. Oracle Cloud Services revenue reached about $8.9 billion, a 44% year-over-year increase, 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 grew 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 experienced explosive growth. Oracle disclosed that its remaining performance obligations (RPO) reached $553 billion, a 325% year-over-year increase, indicating that the company has secured a large number of long-term contract revenues for the coming years.
Management also raised long-term growth expectations in the earnings report, projecting that the company's revenue could reach approximately $90 billion by fiscal year 2027.
These figures mean that Oracle not only demonstrated strong short-term performance but has also established a high degree of certainty for business growth over the next several years.
II. Cloud Business Becomes the New Growth Engine
Looking back at Oracle's business structure over the past decade, a clear shift in revenue composition can be observed.
For a long time, Oracle's core business was database software and enterprise application software. Data systems in banks, telecommunications companies, governments, and large enterprises heavily relied on Oracle database technology, making the company one of the most stable vendors in the global enterprise software field.
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 initial years, Oracle's cloud business developed relatively slowly, as the market was already dominated by platforms like Amazon AWS, Microsoft Azure, and Google Cloud.
But the situation began to change in recent years. As enterprises gradually migrated their databases to the cloud, Oracle started leveraging its customer base in the database market to drive cloud business growth. If enterprises were already using Oracle databases, migrating their systems to Oracle Cloud was often more convenient.
Simultaneously, the explosion of the AI industry has altered the demand structure of cloud computing. Cloud platforms are no longer just software infrastructure for running websites or enterprise applications but are increasingly becoming AI computing platforms that provide GPU computing power, data centers, and high-performance networks.
Oracle found new growth opportunities within this trend.
III. AI Computing Demand Explosion Reshapes Cloud Computing Landscape
The rapid development of the AI industry has created unprecedented demand for computing resources.
Large language models, autonomous driving models, and various generative AI applications require massive computing power for training and inference. Training a large model typically requires thousands or even tens of thousands of GPUs working in concert, resources often provided by cloud data centers.
Therefore, the cloud computing industry is undergoing a structural change: cloud platforms are not just software runtime environments but also AI computing infrastructure.
Oracle's OCI business has achieved rapid growth precisely in this area. OCI not only provides traditional cloud services but also offers GPU computing clusters, high-performance networks, and AI training platforms, making it a key infrastructure for AI companies to train models.
Some AI companies choose Oracle Cloud for reasons including higher GPU resource availability, strong network performance, and competitive costs. This has allowed Oracle to gradually establish its position in the AI computing market.
Data in the financial report also reflects this trend. The 84% growth rate of the OCI business far outpaces that of traditional software businesses and is also much higher than the average growth level of the global cloud market.
IV. Transformation from Database Company to AI Infrastructure Company
From a longer-term perspective, Oracle is undergoing a shift in its corporate positioning.
For decades, Oracle's most important product was its database. Enterprises' data storage, transaction systems, and ERP systems heavily relied on Oracle database technology.
But in the AI era, data and computing power are deeply integrating. Enterprises not only to store data but also to use this data to train models and build intelligent applications.
Oracle is attempting to leverage its strengths to build a new technological system: a combination of database, cloud infrastructure, and AI computing power.
The logic of this strategy is very clear. If enterprise data is already stored in Oracle databases, and this data is used for AI training and analysis directly on Oracle Cloud, then enterprises can complete data management, model training, and application deployment on the same platform.
From a technical path perspective, this is essentially a transformation from a "database software company" to a "data and AI infrastructure platform."
V. The Strategic Bet Behind Massive Investment
However, this transformation does not come without cost.
To meet AI computing demands, Oracle is undertaking large-scale construction of data centers and procuring GPU equipment. The company expects capital expenditures for fiscal year 2026 to reach approximately $50 billion, used for expanding AI data centers and computing infrastructure.
The scale of these investments is unprecedented in Oracle's history. To raise funds, the company also plans to raise about $45 billion to $50 billion through bond and stock financing.
The risks associated with massive investments have also drawn market attention. Some investors worry that if AI demand growth falls short of expectations, these data centers may not generate sufficient returns quickly.
In fact, prior to the earnings release, Oracle's stock price had experienced significant declines due to the large investment scale, reflecting market concerns about its capital expenditure plans.
Therefore, Oracle's current strategy resembles a long-term bet of "high investment, high return."
VI. Changes in the Cloud Computing Competitive Landscape
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 hold over 60% of the global cloud infrastructure market share.
Oracle entered the cloud market relatively late, so its overall market share is still small.
However, AI computing demand could bring new changes to the industry landscape. Traditional cloud services emphasize software ecosystems and developer tools, while AI computing relies more on GPU resources, data center scale, and high-performance networks.
In this field, new players still have opportunities to gain market space.
Oracle is precisely trying to expand its cloud infrastructure business during this window of opportunity.
VII. Future Outlook: Can Oracle Become an AI Computing Giant?
Judging from the 2026 financial report, Oracle's transformation has begun to show results. Cloud business is growing rapidly, the order backlog has hit a record high, and AI demand has become a key 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 AI computing demand can sustain growth; second, that the company can secure a stable customer base in the cloud market; and third, that massive capital investment can ultimately translate into long-term profitability.
If these conditions can be met, Oracle may transform from a traditional enterprise software vendor into a significant player in global AI infrastructure.
In the era of artificial intelligence, data, computing power, and cloud platforms are becoming the new technological infrastructure. Oracle is attempting to leverage this trend to reshape its business model.
The 2026 financial report may be just the beginning of this transformation story.
