AI Cloud Growth and Margins Accelerate in Tandem, While Ecommerce Support Brightens Alibaba's Outlook

Overview

This report evaluates Alibaba's 1QFY27 results and management's latest outlook for AI, cloud computing, ecommerce, and capital expenditure. Nomura's core conclusion is that the quarterly financial results were broadly in line with expectations, while developments in Alibaba Cloud's growth, margins, and in-house chip initiatives were more positive than previously anticipated. Meanwhile, the mature ecommerce business continued to contribute stable profits, and losses arising from investments in AI applications may already have peaked.

Core views

Alibaba's June-quarter revenue and adjusted EBITA were broadly in line with market expectations, but non-GAAP net profit fell below Bloomberg consensus, mainly due to a 44% YoY increase in tax expenses. Nomura believes the single-quarter profit miss is less important than the positive signals conveyed by management's outlook for AI and cloud businesses. The company's mature businesses, particularly ecommerce, are more clearly assuming the role of cash flow and profit generators; management expects profitability across most non-AI businesses to remain stable or improve. Alibaba Cloud represents the most significant incremental change in the report. June-quarter external cloud revenue grew 45% YoY, accelerating for the ninth consecutive quarter and indicating that growth has yet to peak. Management expects growth to exceed 50% in the September quarter and to accelerate further in the subsequent December and March quarters. As of August, model-as-a-service (MaaS) annual recurring revenue had exceeded RMB 16 billion and remains on track to surpass RMB 30 billion by the end of the current fiscal year. Accordingly, Nomura believes Alibaba Cloud is transitioning from a capital-intensive growth business into a more scalable revenue and earnings engine. The acceleration in cloud growth is not coming at the expense of profitability. AI Cloud's adjusted EBITA margin reached 11.6%, compared with approximately 7% a year earlier. Management expects margins to continue improving over the next several quarters and gradually approach the long-term target of approximately 20%. Key drivers include operating leverage from rapid revenue growth, improved computing-capacity utilization and pricing, a higher contribution from high-margin MaaS revenue, and increased adoption of in-house T-Head chips. The T-Head business received greater disclosure transparency for the first time. Its product portfolio covers GPUs, CPUs, storage chips, and networking chips, enabling Alibaba to jointly optimize computing, storage, and networking at the system level rather than relying entirely on third-party hardware. Management stated that cumulative shipments of earlier generations of T-Head AI chips had exceeded 500,000 units; the latest-generation domestic chip began deployment on Alibaba Cloud in supernode form in August. The next-generation domestic AI chip is expected to begin tape-out and initial production in the second half of 2026, targeting both large-model training and inference. Alibaba believes T-Head is one of the few domestic AI chip designers capable of commercially supporting large-scale training and inference workloads. Alibaba established a new AI Labs and Applications (ALA) reporting segment this quarter, combining the Qwen large language model business with other traditional and emerging AI applications. The segment recorded an adjusted EBITA loss of RMB 13.9 billion in the June quarter, mainly reflecting heavy investment in foundation models and the Qwen application. Management expects the June quarter to represent the peak loss for the current fiscal year, with the September-quarter loss narrowing to slightly above RMB 10 billion and then remaining broadly stable or continuing to improve. Model training accounted for less than half of the segment's losses, with the remainder mainly arising from inference, marketing, and operating costs for the Qwen application. Improved training efficiency means the company can continue enhancing model capabilities without losses increasing proportionally with investment. The ecommerce business remained resilient amid a weak consumption environment. Alibaba Ecommerce Group, comprising China Ecommerce, China Quick Commerce, and International Ecommerce, recorded adjusted EBITA that was broadly stable YoY at RMB 39.7 billion. China Ecommerce customer management revenue (CMR) declined 7% YoY but grew 1% on a comparable basis, broadly in line with market expectations. Management stated that China Ecommerce had improved slightly quarter over quarter so far in the September quarter. Unit economics in Quick Commerce also continued to improve, with the September-quarter loss expected to remain flat or decline sequentially, the full-year loss narrowing by approximately 50% YoY, and profitability still targeted for FY29E. The principal financial pressure remains AI capital expenditure and free cash flow. June-quarter capital expenditure rose from RMB 26.9 billion in the previous quarter to RMB 67.7 billion, equivalent to approximately USD 10 billion, while free cash flow recorded an outflow of RMB 44.7 billion. Management cautioned against simply annualizing a single quarter's capital expenditure because hardware procurement and delivery timing can cause substantial quarterly fluctuations. Management also believes that new AI infrastructure investments can generally be recouped within three years. Improving AI product margins, increased use of in-house chips, customer prepayments, and alternative computing-capacity arrangements could further enhance capital efficiency. The company is therefore willing to tolerate negative free cash flow in the near term to prioritize AI growth, based on its view that returns on incremental infrastructure remain attractive. From a longer-term industry perspective, Alibaba believes AI value creation will migrate across different layers of the value chain. At present, a relatively large share of commercial value is captured by AI hardware vendors and infrastructure providers, but foundation models may eventually create substantial value through business models that extend far beyond current API calls. Nomura accordingly emphasizes the importance of Alibaba's full-stack AI capabilities: the company can benefit from the current buildout of AI infrastructure while retaining exposure to future value creation from foundation models and AI applications. Overall, Nomura became more positive on Alibaba following the results and management meeting. The mature ecommerce business provides relatively stable profits and cash generation, Alibaba Cloud is becoming a more important source of revenue and earnings, and guidance that ALA losses have peaked reduces near-term downside risk to earnings. Nomura maintains its Buy rating and USD 178 target price. The target price is based on an SOTP valuation and implies 22x CY27F (equivalent to FY28F) P/E, versus the current approximately 16x. In the segment valuation, China Ecommerce Group is valued at USD 89 billion based on 5x FY27F P/E, Alibaba Cloud at USD 270 billion based on 7x FY28F P/S, and net value of non-core assets, including International Ecommerce, at USD 40 billion.

Analysis framework

Nomura first compares June-quarter revenue, adjusted EBITA, and non-GAAP net profit with market expectations, then analyzes growth, margins, and loss trajectories across Alibaba Cloud, T-Head chips, AI Labs and Applications, ecommerce, and Quick Commerce. The report subsequently weighs AI capital expenditure and free cash flow pressure against infrastructure payback periods and factors that could improve capital efficiency. It also assesses the significance of Alibaba's full-stack positioning in light of the expected migration of value across the AI industry chain from hardware and infrastructure toward models and applications. Finally, it applies an SOTP methodology to value China Ecommerce, Alibaba Cloud, and non-core assets separately, deriving a USD 178 target price.

Methodology notes

• Valuation MethodologySOTP Segment Valuation

  Sum-of-the-Parts Valuation

  The report estimates the values of China Ecommerce Group, Alibaba Cloud, and non-core assets separately, then combines them to derive Alibaba's USD 178 target price.

• Valuation MethodologyP/E and PEG Valuation

  Price-to-Earnings Valuation

  China Ecommerce Group is valued at USD 89 billion based on 5x FY27F P/E; the overall target price implies 22x CY27F (equivalent to FY28F) P/E, versus the current approximately 16x.

• Valuation MethodologyPS valuation

  Price-to-Sales Valuation

  As Alibaba Cloud is in a rapid growth phase, the report values it at USD 270 billion based on 7x FY28F P/S.

• Corporate Fundamentals and Financial FrameworkFree cash flow analysis

  Capital Expenditure and Free Cash Flow Analysis

  The report compares RMB 67.7 billion in capital expenditure with a RMB 44.7 billion free cash flow outflow to assess the pressure that AI expansion places on near-term cash generation.

• Corporate Fundamentals and Financial Framework

  Incremental AI Infrastructure Investment Payback Period Analysis

  Management assesses returns on new AI infrastructure using a payback period generally below three years, while considering improvements in capital efficiency from in-house chips, customer prepayments, and alternative computing-capacity arrangements.

• Competitive and Strategic FrameworkValue chain analysis

  Profit Migration Across the AI Value Chain

  The report analyzes the potential migration of commercial value from the current hardware and infrastructure layers toward foundation models and AI applications, illustrating the strategic value of Alibaba's full-stack AI capabilities.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Alibaba Group Holding Limited (BABA.US)

  The mature ecommerce business supports profits and cash flow, while Alibaba Cloud's growth, margin expansion, and full-stack AI capabilities represent the principal positive drivers; investment in AI applications and high capital expenditure create near-term earnings and free cash flow pressure.

  Strengths

  External cloud revenue has accelerated for nine consecutive quarters; AI Cloud margins have improved significantly; the company owns a T-Head chip portfolio covering GPUs, CPUs, storage, and networking; the mature ecommerce business maintains relatively stable profitability.

  Weaknesses

  ALA still recorded a quarterly adjusted EBITA loss of RMB 13.9 billion, while AI capital expenditure rose to RMB 67.7 billion and led to a RMB 44.7 billion free cash flow outflow.

  Comparison

  The report does not provide a direct comparison with specific peers.

  Risks

  Investment expansion may cause margin deterioration; regulatory risks related to payments and internet finance may impair the core business and the value of the company's stake in Ant Group.

Key data

• Increase in Tax ExpensesUp 44% YoYThe primary reason June-quarter non-GAAP net profit fell below Bloomberg consensus
• External Cloud Revenue GrowthUp 45% YoYJune-quarter data, accelerating for the ninth consecutive quarter
• September-Quarter External Cloud Revenue Growth GuidanceAbove 50%Management expects further acceleration in the December and subsequent March quarters
• MaaS Annual Recurring RevenueExceeded RMB 16 billion as of AugustTargeted to exceed RMB 30 billion by the end of the current fiscal year
• AI Cloud Adjusted EBITA Margin11.6%Approximately 7% a year earlier, with a long-term target of approximately 20%
• Cumulative Shipments of Earlier-Generation T-Head AI ChipsMore than 500,000 unitsThe latest domestic generation began deployment on Alibaba Cloud in supernode form in August
• Next-Generation Domestic AI Chip Timeline2H26EExpected to begin tape-out and initial production, targeting large-model training and inference
• ALA Adjusted EBITA LossRMB 13.9 billionJune-quarter data; management expects this to be the peak loss for the current fiscal year
• September-Quarter ALA Loss GuidanceSlightly above RMB 10 billionExpected to remain broadly stable or continue improving thereafter
• Model Training Share of ALA LossesLess than halfThe remainder mainly arises from inference, marketing, and operating costs for the Qwen application
• Alibaba Ecommerce Group Adjusted EBITARMB 39.7 billionBroadly stable YoY
• China Ecommerce CMRDown 7% YoY; up 1% on a comparable basisBroadly in line with market expectations
• Full-Year Quick Commerce Loss OutlookNarrowing by approximately 50% YoYManagement continues to target profitability in FY29E
• June-Quarter Capital ExpenditureRMB 67.7 billion, equivalent to approximately USD 10 billionRMB 26.9 billion in the previous quarter; management cautioned against simple annualization
• June-Quarter Free Cash FlowRMB 44.7 billion outflowReflects near-term cash flow pressure arising from AI infrastructure investment
• Payback Period for New AI InfrastructureGenerally less than three yearsUsed by management to demonstrate that returns on incremental infrastructure remain attractive
• Valuation Implied by Target Price22x CY27F (FY28F) P/ECurrently approximately 16x
• SOTP Segment ValuationChina Ecommerce USD 89 billion; Alibaba Cloud USD 270 billion; net value of non-core assets USD 40 billionBased respectively on 5x FY27F P/E, 7x FY28F P/S, and net asset value

Impact & implications

The report believes Alibaba's earnings structure is undergoing a favorable shift: the mature ecommerce business continues to provide a relatively stable earnings base, while Alibaba Cloud is expanding margins alongside accelerating revenue growth and gradually becoming a more important earnings engine. ALA losses are expected to have peaked, helping reduce near-term downside risk to earnings. T-Head chips, MaaS revenue, and the full-stack AI strategy could simultaneously improve cost efficiency and enable the company to participate in value creation across the infrastructure, model, and application layers. However, substantial AI investment will continue to suppress near-term free cash flow, and investment returns will depend on whether cloud growth, margin improvement, and infrastructure payback periods materialize as expected.

Risks

• Accelerated investment may cause margin deterioration.
• High AI capital expenditure may keep near-term free cash flow under pressure.
• Regulatory risks in the payments and internet finance industries may impair Alibaba's core business and the value of its stake in Ant Group.

What to watch

• Monitor whether external cloud revenue growth can exceed 50% in the September quarter and continue accelerating in the December and subsequent March quarters.
• Track whether MaaS annual recurring revenue can rise from more than RMB 16 billion as of August to over RMB 30 billion by the end of the current fiscal year.
• Monitor whether AI Cloud's adjusted EBITA margin can continue rising from 11.6% toward the long-term target of approximately 20%.
• Track deployment of the latest-generation domestic T-Head chip on Alibaba Cloud and whether the next-generation chip can begin tape-out and initial production in 2H26E.
• Monitor whether ALA losses can narrow from the quarterly peak of RMB 13.9 billion to slightly above RMB 10 billion in the September quarter.
• Track whether the full-year Quick Commerce loss can narrow by approximately 50% YoY and progress toward the FY29E profitability target.
• Monitor quarterly fluctuations in AI capital expenditure, free cash flow pressure, and whether the payback period of less than three years for new infrastructure can be achieved.