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Short answer: compare Oracle, Amazon (AWS), Microsoft (Azure) and Alphabet (Google Cloud) only after aligning fiscal periods, segment definitions and the effects of artificial-intelligence infrastructure spending. Oracle is the smallest cloud business in this group, but its database-led multicloud strategy and accelerating capacity build-out give it a faster-growth profile. AWS remains the largest disclosed cloud operation and the biggest segment profit generator. Azure is growing quickly, although Microsoft does not disclose a directly comparable Azure operating-profit line. Google Cloud has moved from modest profitability to a material profit contributor, while Alphabet’s company-wide results still include businesses and costs that are not part of Google Cloud.
The most useful comparison therefore has several scorecards: cloud growth, quality of that growth, segment profit, capital intensity, free-cash-flow conversion, balance-sheet risk, AI capacity, customer concentration, switching costs and valuation. No single headline metric identifies the best stock.
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Start with the reporting periods and segment definitions
These companies do not report an identical “cloud” segment. Oracle’s fiscal year and the hyperscalers’ reporting calendars also differ. Oracle’s FY2025 figures should not be placed beside a calendar-year AWS number without labeling the mismatch, and Microsoft’s FY2025 does not end on the same date as Oracle’s FY2025.
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|---|---|---|---|
| Oracle | Oracle FY2025 | $24.646 billion from infrastructure cloud services and license support; reported growth 16% (17% constant currency) | A combined Oracle line, not a pure OCI infrastructure figure. Oracle’s applications and other cloud activities are not isolated in this number. |
| Amazon | Calendar 2025 | AWS sales of about $128.7 billion, up 20% | AWS segment sales and profit are separately reported, making it the clearest segment-level comparison in the group. |
| Microsoft | Microsoft FY2025 | Azure and other cloud services growth of 34% | A growth rate, not a separately disclosed Azure revenue and operating-profit table in the cited annual report. |
| Alphabet | Calendar 2025 | Google Cloud annual run rate above $70 billion at year-end | A run-rate description rather than a full-year revenue figure. Google Cloud operating income is separately disclosed. |
For an investment spreadsheet, keep each company’s reported period in its original column, then add a normalized trailing-12-month view using the same end date. If a company does not provide a directly comparable figure, mark it “not stated” rather than estimating it from a different line.
#1 Best Overall
What the reported growth numbers actually say
Oracle: smaller base, accelerating guidance
Oracle reported $24.646 billion in infrastructure cloud services and license support for FY2025, up 16% on a reported basis and 17% in constant currency. Because the line combines infrastructure services with license support, it should not be treated as OCI-only growth. Oracle separately said total cloud growth increased from 24% in FY2025 and was expected to exceed 40% in FY2026. That is management guidance, not a completed result; it depends on delivering capacity, winning demand and sustaining infrastructure spending.
The distinction between the 16% reported line and the more than 40% total-cloud forecast matters. The first is a historical combined revenue measure. The second covers Oracle’s broader cloud business and is forward-looking. Investors should not use the guidance as proof that OCI alone will grow at that rate.
AWS: the largest disclosed cloud revenue and profit pool
AWS generated about $128.7 billion of sales in calendar 2025, an increase of 20%. Its operating income was $45.606 billion. AWS therefore combines scale with a disclosed segment profit pool that is much larger in absolute dollars than the profit figures reported by the other cloud segments in the supplied figures. Its growth rate is lower than Microsoft’s reported Azure growth and Oracle’s total-cloud forecast, but the base is much larger.
Azure: strong percentage growth, incomplete profit visibility
Microsoft reported Azure and other cloud services growth of 34% in FY2025. That is a strong rate, but “Azure and other cloud services” is a broader label than a pure infrastructure product. Microsoft’s cited annual report does not provide a directly comparable Azure operating-income line. Do not manufacture an Azure margin by allocating Microsoft’s company-wide profit or by treating another segment’s margin as Azure’s.
Google Cloud: profitability has become material
Google Cloud operating income reached $13.910 billion in 2025, compared with $6.112 billion in 2024. Alphabet also described Google Cloud’s annual run rate as above $70 billion at the end of 2025. A run rate annualizes the latest quarter or exit pace; it is not the same as reported full-year revenue. Alphabet’s consolidated 2025 revenue was $402.836 billion and its operating margin was 32%, but those company-wide figures include businesses and costs outside Google Cloud.
Rank #2
Use a growth-quality scorecard, not a single percentage
Rank growth on at least five dimensions:
- Organic demand: distinguish new workloads and consumption from price changes, acquisitions or currency movements.
- Mix: separate infrastructure consumption, platform services, databases, applications and support renewals.
- Durability: check whether growth comes from multiyear contracts, recurring usage or one-time capacity commitments.
- Incremental economics: ask whether each additional dollar of revenue produces cash after servers, networking, facilities and support costs.
- Capacity availability: determine whether management can install enough data-center and accelerator capacity to meet signed demand.
On the supplied numbers, Microsoft has the highest reported percentage growth among historical figures at 34%, Oracle’s total-cloud guidance is the most aggressive forward-looking indicator at more than 40%, AWS combines 20% growth with the greatest disclosed scale, and Google Cloud’s key change is the sharp increase in operating profit. These are different kinds of evidence and should not be ranked as if they were interchangeable.
Compare profitability on the right basis
| Company | Profit figure available | How to interpret it |
|---|---|---|
| Oracle | $17.7 billion GAAP operating income in FY2025 | Company-wide Oracle operating income, not an OCI segment margin. |
| AWS | $45.606 billion AWS operating income in 2025 | Segment operating income, directly tied to AWS’s disclosed sales. |
| Microsoft Azure | Not stated as a comparable Azure operating-income line in Microsoft FY2025 reporting | Use Azure growth and Microsoft’s disclosed segment information without inventing a margin. |
| Google Cloud | $13.910 billion operating income in 2025; $6.112 billion in 2024 | Segment operating income. Alphabet-level AI research costs are not allocated to Google Cloud in this figure. |
AWS’s $45.606 billion and Google Cloud’s $13.910 billion are segment measures, while Oracle’s $17.7 billion is a corporate total. A direct margin ranking would be misleading unless each company supplies revenue and operating income for the same perimeter. Google Cloud’s improvement is economically important, but its reported profit does not include every Alphabet investment that supports AI products.
Capital intensity and free cash flow can reverse the ranking
Cloud revenue is produced by physical and financial commitments: data centers, land, power, networking, servers, accelerators, leases and long-term supply contracts. AI workloads can increase revenue while reducing near-term cash conversion if capacity is installed ahead of customer usage.
For each company, build a five-year table containing:
- Capital expenditure, split between total company and cloud-relevant categories when disclosed.
- Depreciation and amortization, including the effect of shorter server lives.
- Operating cash flow and free cash flow, with the company’s own definition shown beside a standardized definition.
- Data-center leases, purchase commitments and other contractual obligations.
- Revenue growth, operating-income growth and free-cash-flow growth in the same period.
The supplied figures do not provide synchronized capex, depreciation or free-cash-flow values for all four companies, so no defensible winner can be declared on capital efficiency from those figures alone. A company that spends heavily may be building scarce AI capacity with attractive future returns, or it may be overbuilding. The distinction requires utilization, contract duration, pricing and cash-flow evidence.
Rank #3
Assess AI capacity without treating announcements as earnings
AI capacity is a competitive variable and a financial risk. Compare accelerator availability, power and data-center delivery, networking architecture, geographic coverage, customer reservations and the time required to bring new capacity online. Then connect those inputs to realized revenue and margins.
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Oracle’s forecast of more than 40% total-cloud growth in FY2026 depends partly on delivering infrastructure capacity. Delays, supply constraints or weaker customer demand could leave costs ahead of revenue. Oracle also places its database across AWS, Azure and Google Cloud. Larry Ellison said, “MultiCloud database revenue from Amazon, Google and Azure grew 115% from Q3 to Q4.” That is management commentary about sequential growth in a specific revenue area, not evidence of market share or a guarantee of future growth.
AWS’s scale advantage and spending burden
AWS has the largest disclosed cloud sales base in these figures and a large operating-profit pool. That scale can support broader regions, services and internal investment, but it also means heavy infrastructure spending. Evaluate whether incremental AI revenue is covering the associated depreciation, power and financing costs.
Microsoft and Alphabet
Azure’s 34% growth indicates strong demand for Microsoft’s cloud services, yet its reporting does not give investors a standalone Azure operating-profit line in the cited annual report. Google Cloud’s profitability improvement shows that AI and cloud demand can coexist with expanding segment profit, but Alphabet’s group-level AI research costs are not allocated to Google Cloud’s reported operating income.
Evaluate moats, switching costs and customer concentration
Installed enterprise relationships
Oracle’s database estate can make migration costly and can create a distribution advantage when Oracle databases run inside competing clouds. AWS benefits from a large, mature developer and enterprise ecosystem. Azure can leverage Microsoft’s existing enterprise relationships, while Google Cloud competes through its data and developer platforms. Treat these as moat hypotheses to test against retention, workload expansion and customer economics rather than as automatic advantages.
Multicloud exposure
Oracle’s multicloud database approach can expand its addressable distribution without requiring every customer to move workloads to OCI. The trade-off is dependence on commercial relationships with competing cloud providers. Measure multicloud revenue, contract structure, gross margin and renewal behavior separately from OCI consumption.
Customer concentration
Cloud suppliers may have large customers whose commitments affect quarterly growth. Review each company’s concentration disclosures, remaining performance obligations, contract duration and usage-based exposure. The supplied figures do not establish a comparable concentration percentage for Oracle, AWS, Azure or Google Cloud, so any ranking on this risk requires current filings.
Balance-sheet risk and return on invested capital
Cloud comparisons should include debt, lease liabilities, cash, short-term investments, committed construction and equipment purchases. A fast-growing provider can still destroy shareholder value if returns on the capital base remain below its cost of capital.
Calculate return on invested capital using a consistent formula and period, then test sensitivity to:
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- Lower utilization of newly built AI capacity.
- Longer depreciation lives or accelerated write-downs.
- Higher power, financing and networking costs.
- Pricing pressure as customers negotiate committed-use discounts.
- Currency movements, especially for Oracle’s reported versus constant-currency growth.
Do not infer balance-sheet safety from operating income alone. Oracle’s $17.7 billion GAAP operating income, AWS’s $45.606 billion segment operating income and Google Cloud’s $13.910 billion segment operating income have different scopes and do not reveal each company’s full financing or lease exposure.
Best Value
Valuation: synchronize the market data before ranking stocks
The cited filings do not provide a current, synchronized market-multiple snapshot. A valid valuation comparison must use the same market date and the same definitions for share price, diluted shares, market capitalization, net debt and trailing or forward financial estimates.
| Metric | How to standardize it | Why it matters |
|---|---|---|
| Forward EV/sales | Enterprise value divided by the same forward-revenue period for each company | Useful for comparing cloud growth when margins differ, but sensitive to business mix. |
| EV/EBIT | Enterprise value divided by forecast operating income, with segment versus company scope labeled | Highlights operating profitability but can mislead when cloud profit is not separately reported. |
| Free-cash-flow yield | Forward or trailing free cash flow divided by equity value, using one definition | Shows what cash return the current price implies after capital spending. |
| Net debt | Debt and lease obligations less cash and eligible investments, consistently defined | Prevents a high-growth company with heavy financing from appearing cheaper than it is. |
“Is Oracle’s AI infrastructure growth already priced in?” cannot be answered from the operating figures alone. Compare the market’s implied growth and margin assumptions with Oracle’s capacity timetable, the more-than-40% FY2026 total-cloud guidance, expected capital spending and free-cash-flow conversion. A stock can look inexpensive on sales and expensive on cash flow, or the reverse, depending on the denominator.
A practical step-by-step comparison process
- Set one as-of date. Record the share price, diluted shares, market capitalization, debt, leases and cash for Oracle, Amazon, Microsoft and Alphabet on the same date.
- Preserve reported periods. Label Oracle FY2025, Microsoft FY2025, calendar 2025 AWS and calendar 2025 Alphabet rather than blending them.
- Map segment definitions. Mark Oracle’s combined infrastructure-cloud-and-license-support line, AWS’s segment, Azure and other cloud services, and Google Cloud’s segment.
- Build a growth bridge. Show reported growth, constant-currency growth where available, acquisitions, price effects and usage growth separately.
- Separate profit scopes. Use AWS and Google Cloud segment operating income, Oracle company operating income and “not stated” for Azure’s comparable operating income.
- Add capital requirements. Enter capex, depreciation, leases, purchase commitments and free cash flow from each company’s filings.
- Score AI capacity. Track accelerator supply, power, data-center delivery, geographic availability, reservations and utilization—not announcements alone.
- Test downside cases. Model slower growth, lower utilization, higher power costs, pricing pressure and a delayed capacity ramp.
- Apply valuation multiples. Use synchronized forward EV/sales, EV/EBIT and free-cash-flow yield, and document every denominator.
- Write the investment conclusion last. State which assumptions drive the ranking and what evidence would invalidate it.
Which investor profile fits each cloud stock?
Oracle
Oracle may suit an investor seeking a smaller cloud platform with accelerating management guidance and a database-led multicloud route. The key risks are execution, capacity delivery, the difference between total-cloud guidance and OCI-only revenue, and the need to fund infrastructure before usage arrives.
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AWS is the scale and current profit benchmark in the group. Its $128.7 billion of 2025 sales and $45.606 billion of operating income provide substantial evidence of economic strength. The principal analytical question is whether continued infrastructure and AI investment can preserve returns as the base becomes larger.
Microsoft
Microsoft offers strong Azure and other cloud-services growth at 34% in FY2025, but the absence of a directly comparable Azure operating-profit line limits precision. Investors must use Microsoft’s broader segment disclosures and avoid assigning the company’s consolidated margin to Azure.
Alphabet
Alphabet offers a Google Cloud business whose operating income rose from $6.112 billion in 2024 to $13.910 billion in 2025, with an exit run rate above $70 billion. The improvement is significant, yet Google Cloud’s reported profit excludes Alphabet-level AI research costs, so segment economics and corporate economics should remain separate.
Common comparison mistakes
- Comparing Oracle’s FY2025 directly with calendar-year AWS without labeling the period mismatch.
- Calling Oracle’s $24.646 billion combined line pure OCI revenue.
- Using Oracle’s more-than-40% FY2026 total-cloud guidance as a realized OCI growth rate.
- Creating an Azure operating margin that Microsoft does not disclose in the cited report.
- Comparing Alphabet’s 32% consolidated operating margin with Google Cloud’s segment profit.
- Treating Google Cloud’s above-$70-billion annual run rate as full-year revenue.
- Ignoring capex, leases and depreciation because cloud revenue is growing quickly.
- Reading management’s 115% sequential multicloud database-growth comment as market-share evidence.
- Using market multiples from different dates or mixing trailing and forward denominators.
Bottom-line decision framework
Choose the comparison that matches your priority. If you value current disclosed cloud profit and scale, AWS is the reference point. If you prioritize the highest reported historical growth rate, Azure’s 34% deserves attention, but its profit visibility is limited. If you want improving segment profitability, Google Cloud’s move to $13.910 billion is the clearest evidence in the supplied figures. If you are willing to underwrite execution and capacity risk for a potentially faster cloud trajectory, Oracle’s more-than-40% FY2026 total-cloud guidance and multicloud database strategy are the central variables.
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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteThe disciplined conclusion is not that one cloud stock is universally “better.” It is that Oracle should be judged on growth quality and capital delivery, AWS on sustaining returns at massive scale, Azure on converting growth into transparent economics, and Google Cloud on maintaining its profit improvement while absorbing broader AI costs. Rank the stocks only after those differences are reflected in one synchronized valuation and cash-flow model.
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