Dilution from the HKD 80bn placement is manageable, and Nomura believes the new funds will strengthen Alibaba's full-stack AI competitiveness

Overview

The report assesses Alibaba's proposed HKD 80bn equity placement and its impact on shareholder dilution, financing structure, and AI strategy. Nomura believes that although the choice of equity rather than debt financing was unexpected, the approximately 3.7% dilution is tolerable, while the additional funds will help support intensive AI investment without changing its positive investment thesis.

Core views

Alibaba announced on August 23 a proposed HKD 80bn equity placement, equivalent to approximately USD 10.2bn, with 100% of the net proceeds to be invested in full-stack AI capabilities, including the expansion and upgrading of AI infrastructure. The transaction remains subject to market and other conditions. Citing Reuters, the report states that the company plans to place approximately 710mn shares at HKD 112.70 per share, an 8.4% discount to the previous trading day's Hong Kong closing price. Subscription demand was strong, including participation from sovereign wealth funds, and the company increased the offering size after the transaction was oversubscribed. Nomura estimates that the new shares will dilute existing shareholders' equity by approximately 3.7%, considers the impact manageable, and believes it will be offset by stronger long-term AI competitiveness. Nomura believes the financing requirement itself was not unexpected; what was genuinely surprising was the use of equity rather than debt. The market had already broadly expected Alibaba to need additional funding, and its US ADR fell 8.6% on August 21 despite management's optimistic outlook for the AI cloud business the previous day. Nomura expects the formal financing announcement to remove uncertainty weighing on the stock and allow the market to refocus on fundamentals. After completion of the transaction, the company's total cash and cash equivalents are expected to increase from the USD 70bn reported at the end of the June quarter to USD 80bn. Nomura had previously expected Alibaba to rely more heavily on debt because of the company's stock valuation at the time, but recent changes in credit markets have reduced the relative economic appeal of debt financing. The global AI capital expenditure boom has prompted hyperscale cloud providers to issue substantial amounts of debt, while credit spreads have widened, new debt concessions have increased, and investor subscription coverage ratios have declined. In this environment, Nomura considers the company's shift to equity financing understandable, even though the choice directly dilutes existing shareholders. The placement proceeds will strengthen Alibaba's full-stack positioning across foundation models, model as a service (MaaS), cloud infrastructure, and proprietary AI chips. In the June quarter, Alibaba Cloud's external revenue grew 45% y-y, accelerating for the ninth consecutive quarter. Management expects growth to exceed 50% in the September quarter and accelerate further in the subsequent December and March quarters. As of August, MaaS annual recurring revenue had exceeded CNY 16bn, and management expects it to surpass CNY 30bn by fiscal year-end. Growth has also been accompanied by margin improvement: AI cloud's adjusted EBITA margin reached 11.6%, versus 7% approximately one year earlier, with a long-term target of around 20%. The report identifies revenue growth, improved utilization and pricing, a higher contribution from high-margin MaaS revenue, and increased adoption of proprietary T-Head chips as the main drivers. Proprietary chips could become an important competitive advantage for Alibaba Cloud. T-Head's product portfolio covers GPUs, CPUs, storage, 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 previous generations of T-Head AI chips had exceeded 500,000 units. The latest-generation domestic chip began deployment on the Alibaba Cloud platform in August in the form of supernodes and has entered large-scale commercialization. The next-generation domestic AI chip is expected to begin tape-out in 2H26E, targeting both large-model training and inference. Nomura believes that if the supply of advanced GPUs remains constrained and T-Head can support the training of large-parameter foundation models at commercial scale, its capabilities will significantly strengthen the competitiveness of Alibaba Cloud and the foundation model business. AI Labs and Applications (ALA) is a newly established reporting segment this quarter, integrating Qwen foundation models and both traditional and new AI applications. The segment recorded an adjusted EBITA loss of CNY 13.9bn in the June quarter, reflecting the company's continued heavy investment in foundation models and Qwen applications. Management expects this to be the loss peak for the current fiscal year, with the September-quarter loss potentially narrowing to the low CNY 10bn range and then broadly stabilizing or improving further. Model training accounts for less than half of the segment's losses, with the remainder mainly arising from inference, marketing, and operating costs for Qwen applications. Nomura therefore believes continued gains in training efficiency can enable model capabilities to improve without losses increasing in tandem with model scale. External monetization of Qwen remains at an early stage and is currently achieved mainly through Alibaba Cloud's MaaS services, but may expand to additional models beyond MaaS over the long term. The mature ecommerce business is viewed as the cash flow foundation supporting AI investment. Alibaba Ecommerce Group (AEG) comprises China Ecommerce, China Quick Commerce, and International Ecommerce, and its adjusted EBITA was broadly stable at CNY 39.7bn in the June quarter. China Ecommerce customer management revenue declined 7% y-y but grew 1% y-y on a like-for-like basis, broadly in line with market expectations. Management stated that China Ecommerce had improved slightly quarter-to-date in the September quarter compared with the June quarter. Unit economics in quick commerce continued to improve, and the September-quarter loss is expected to remain flat or decline q-q, while the full-year loss is expected to narrow by approximately 50% y-y. Management also maintained its target of achieving profitability in FY29E. Nomura therefore concludes that Alibaba is placing greater emphasis on profit stability and cash generation in its mature ecommerce businesses rather than pursuing growth at the expense of profitability. The main financial pressures remain AI capital expenditure and free cash flow. Capital expenditure rose from CNY 26.9bn in the previous quarter to CNY 67.7bn in the June quarter, equivalent to approximately USD 10bn, while the company recorded a free cash outflow of CNY 44.7bn. Management cautioned against simply annualizing the quarter's capital expenditure because the timing of hardware procurement and delivery can cause significant quarterly fluctuations. On the other hand, management stated that incremental AI infrastructure investment can typically be recouped within three years. Improving AI product margins, increased use of proprietary T-Head chips, customer prepayments, and alternative computing capacity arrangements could further enhance capital efficiency. Nomura believes the company is willing to accept negative near-term free cash flow to capture AI growth opportunities. On valuation, Nomura uses a sum-of-the-parts approach: it values the China Ecommerce business at USD 87bn based on 5x FY27F P/E, Alibaba Cloud at USD 278bn based on 7x FY28F P/S, and non-core assets, including International Ecommerce, at a net value of USD 40bn, resulting in a target price of USD 178 per share. The placement does not change its positive investment view, and Nomura maintains its Buy rating and USD 178 target price.

Analysis framework

The report first quantifies the placement size, issue discount, shareholder dilution, and post-transaction cash level, and then explains the market context of equity financing relative to debt financing. It subsequently uses June-quarter operating data to assess the uses and potential returns of the additional AI funding, separately analyzing Alibaba Cloud's growth and margins, T-Head chips, ALA losses and monetization, ecommerce cash generation, capital expenditure, and free cash flow. Finally, it validates the target price and rating through a sum-of-the-parts valuation.

Methodology notes

• Valuation MethodSOTP Valuation

  Alibaba sum-of-the-parts valuation

  The report separately estimates the values of China Ecommerce, Alibaba Cloud, and non-core assets, then adds them together and converts the total into a per-share target price to reflect the different growth and profitability characteristics of each business.

• Valuation MethodPE/PEG valuation

  China Ecommerce valuation at 5x FY27F P/E

  The report values the China Ecommerce business at USD 87bn based on 5x FY27F P/E, measuring the mature ecommerce business's value by multiplying forecast earnings by a valuation multiple.

• Valuation MethodPS valuation

  Alibaba Cloud valuation at 7x FY28F P/S

  The report values Alibaba Cloud at USD 278bn based on 7x FY28F P/S, using a forecast revenue multiple to measure a cloud business that remains in a phase of rapid growth and margin expansion.

• Company Fundamentals and Financial FrameworkFree cash flow analysis

  Analysis of pressure from AI capital expenditure on free cash flow

  The report analyzes quarterly capital expenditure of CNY 67.7bn alongside a free cash outflow of CNY 44.7bn to illustrate the near-term impact of AI investment on cash generation, and assesses funding capacity using the profit and cash flow of the mature ecommerce business.

• Company Fundamentals and Financial Framework

  AI infrastructure investment payback period analysis

  Management indicates investment returns through the typically less-than-three-year payback period for incremental AI infrastructure and assesses capital efficiency by considering product margins, proprietary chips, customer prepayments, and alternative computing capacity arrangements.

Asset mapping & comparison

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

• Alibaba Group (BABA.US)

  The HKD 80bn equity placement is expected to result in approximately 3.7% dilution, but all net proceeds will be used to build AI capabilities, which Nomura believes will support long-term AI competitiveness.

  Strengths

  Full-stack capabilities spanning foundation models, MaaS, cloud infrastructure, and proprietary AI chips; improving Alibaba Cloud revenue growth and margins; and a mature ecommerce business that can provide a relatively stable earnings and cash flow foundation.

  Weaknesses

  AI investment has caused capital expenditure to rise significantly and free cash flow to turn negative, while ALA remains in a phase of substantial losses and early-stage monetization.

  Comparison

  The report does not provide specific peer valuation comparisons but considers Alibaba one of the best-positioned companies in China's AI ecosystem.

  Risks

  Investment expansion could depress margins, while regulatory risks in the payments and internet finance industries could harm the core business and the value of Alibaba's stake in Ant Group.

Key data

• Proposed placement sizeHKD 80bn (approximately USD 10.2bn)100% of net proceeds to be used for full-stack AI capabilities and AI infrastructure
• Proposed new sharesapproximately 710mn sharesPlacement price of HKD 112.70 per share
• Placement discount8.4%Relative to the previous trading day's Hong Kong closing price
• Estimated shareholder dilution3.7%Nomura's calculation based on approximately 710mn new shares
• Post-transaction cash and cash equivalentsUSD 80bnExpected to increase from the USD 70bn reported at the end of the June quarter
• Alibaba Cloud external revenue growth45% y-yJune quarter, accelerating for the ninth consecutive quarter
• September-quarter Alibaba Cloud external revenue guidanceover 50% y-yManagement expects further acceleration in the subsequent December and March quarters
• MaaS annual recurring revenueover CNY 16bnAs of August; fiscal year-end target of over CNY 30bn
• AI cloud adjusted EBITA margin11.6%Approximately 7% about one year ago, with a long-term target of approximately 20%
• Cumulative shipments of previous-generation T-Head AI chipsover 500,000 unitsThe latest domestic generation began deployment on Alibaba Cloud in August
• Next-generation domestic AI chip progresstape-out to begin in 2H26ETargeting large-model training and inference
• ALA adjusted EBITA lossCNY 13.9bnJune quarter; management expects this to be the loss peak for the current fiscal year
• AEG adjusted EBITACNY 39.7bnBroadly stable in the June quarter
• China Ecommerce CMR growth-7% y-y; +1% y-y on a like-for-like basisBroadly in line with market expectations
• Expected full-year quick commerce lossnarrowing by approximately 50% y-yManagement maintains its target of achieving profitability in FY29E
• June-quarter capital expenditureCNY 67.7bnCNY 26.9bn in the previous quarter, equivalent to approximately USD 10bn
• June-quarter free cash flowoutflow of CNY 44.7bnA primary financial concern amid high AI capital expenditure
• Incremental AI infrastructure payback periodless than three yearsTypical payback period stated by management
• China Ecommerce business valuationUSD 87bnBased on 5x FY27F P/E
• Alibaba Cloud valuationUSD 278bnBased on 7x FY28F P/S
• Net valuation of non-core assetsUSD 40bnIncluding the International Ecommerce business
• Target priceUSD 178.00Maintained unchanged

Impact & implications

The report believes the placement will exchange limited near-term dilution for more abundant AI investment funding and may remove market uncertainty regarding the need for and method of financing. Accelerating Alibaba Cloud revenue, expanding margins, and the deployment of proprietary chips provide an operating rationale for AI investment, while the mature ecommerce business provides profit and cash flow support. However, the surge in capital expenditure and negative free cash flow mean that returns will still depend on cloud business growth, capital efficiency, and progress in commercializing AI applications.

Risks

• Investment expansion could cause margins to fall below expectations, impeding achievement of the target price.
• Regulatory risks in the payments and internet finance industries could harm Alibaba's core business and the value of its stake in Ant Group.

What to watch

• Whether the placement can be completed after market and other conditions are satisfied, as well as the final issuance size and dilution level.
• Whether Alibaba Cloud's external revenue can achieve over 50% y-y growth in the September quarter and continue accelerating in the following two quarters.
• Whether AI cloud's adjusted EBITA margin can continue improving from 11.6% toward the long-term target of approximately 20%.
• Progress in the large-scale commercialization of the latest domestic T-Head chip and whether the next-generation chip can begin tape-out in 2H26E.
• Whether ALA's loss can narrow from the June-quarter peak of CNY 13.9bn and whether Qwen can develop monetization models beyond MaaS.
• Whether the full-year quick commerce loss can narrow by approximately 50% y-y and progress toward the FY29E profitability target.
• Actual realization of AI capital expenditure returns, free cash flow improvement, and the less-than-three-year payback period for incremental infrastructure.