Accelerating cloud growth and narrowing quick-commerce losses support an EPS inflection; Goldman Sachs reiterates its Buy rating on Alibaba

Overview

This report reviews Alibaba's 1QFY27 results, focusing on returns from AI capex, cloud growth and margins, AI application investment efficiency, and profitability trends in traditional e-commerce and quick commerce. Goldman Sachs believes the results were broadly in line with expectations, but sees positive progress in cloud growth, visibility into AI investment returns, and the group's profit inflection. It therefore raises its earnings forecasts while maintaining its Buy rating and target prices.

Core views

First, Alibaba's increase in AI capex is not merely a pursuit of scale but is based on the investment returns observed by management. June-quarter capex was RMB68.0bn, up significantly from RMB26.9bn in the March quarter and above Tencent's RMB53.0bn during the same period. Management attributed the increase to procurement and payment cycles, greater CPU investment driven by agentic AI demand, and rising component costs, while noting that front-loaded infrastructure procurement means quarterly spending should not simply be annualized linearly. Based on the current economics of AI products, management estimates a payback period of approximately three years. If AI gross margins, equipment utilization, and adoption of proprietary T-Head chips improve further, the payback period could improve to 2-2.5 years. Based on strong AI demand and attractive ROIC, Goldman Sachs raised its FY27E/FY28E capex forecasts from RMB178.0bn/RMB194.0bn to RMB210.0bn/RMB240.0bn. Free cash flow will face near-term pressure, but funding can be partially supported by improving core-business cash flow, cloud profits, and existing net cash. Management believes cloud revenue can sustain growth above 40% to achieve the five-year target of US$100bn in AI and cloud revenue. Second, cloud was the clearest growth highlight this quarter, while changes in the revenue mix are improving margins. June-quarter cloud revenue grew 45%, in line with Goldman Sachs' expectations, while AI-related revenue achieved triple-digit growth for the 12th consecutive quarter. Goldman Sachs raised its September- and December-quarter cloud revenue growth forecasts from 46%/46% to 50%/52%, while management expects September-quarter growth to exceed 50%. AI revenue accounted for 35% of external cloud revenue in the June quarter, and the company targets 50% in FY27E. MaaS commercialization is also accelerating, with ARR exceeding RMB16.0bn, or approximately US$2.4bn, as of August 2026 and expected to surpass RMB30.0bn by year-end. Pricing improvements resulting from tight compute supply, along with the boost from the open-source and open-weight model ecosystem to the Bailian MaaS platform, should support growth. Management stated that gross margins are similar for open-source models and Qwen models hosted on the platform. Goldman Sachs expects the cloud EBITA margin to rise to 12.2% in the September quarter and 12.6% in FY27E. Management's long-term target is 20% or higher and may be achieved ahead of the original schedule. T-Head is viewed as an important growth and margin driver: its first-generation AI chip has been commercialized through the M890 supernode, while its second-generation product is expected to support large-scale foundation-model training. Goldman Sachs therefore believes Alibaba's full-stack AI cloud platform, spanning compute, infrastructure, models, and applications, is well positioned to capture value. Third, the newly disclosed AI Labs and Applications segment indicates that investment efficiency may be beginning to improve. The segment's current revenue grew 16% year over year, slower than the standalone AI labs, with growth still primarily driven by traditional products such as Quark and DingTalk. The company will continue investing in Qwen models and QwenWork. The latter is differentiated by its cloud infrastructure, DingTalk distribution channels, and enterprise customer base, while revenue contributions from AI-native products are expected to increase gradually. Management expects segment losses to have peaked in the June quarter, with subsequent improvement supported by greater training efficiency, stricter spending discipline for Qwen applications, and commercialization of personal and enterprise productivity applications. Goldman Sachs expects revenue to grow 22% in the September quarter and 24% in FY27E, with adjusted EBITA losses of RMB12.3bn and RMB51.0bn, respectively. This indicates that quarterly losses are beginning to narrow, although investment in models and applications will continue. Fourth, stable cash flow from traditional e-commerce and improving quick-commerce unit economics represent another pillar supporting the group's profit recovery and AI investment. Comparable customer management revenue grew 1% in the June quarter, while traditional e-commerce EBITA remained stable. Although the macroeconomic environment remains challenging, management expects both CMR growth and e-commerce EBITA to improve sequentially in the September quarter. Considering the consumer environment and merchant rebate policies, Goldman Sachs still forecasts CMR to decline 5% in both 2QFY27E and FY27E. Quick commerce is improving unit economics through higher average order values and fulfillment efficiency while maintaining order growth. Even with weather-related fulfillment pressure, September-quarter losses are expected to remain flat or narrow sequentially. Goldman Sachs expects September-quarter quick-commerce losses to narrow further to RMB9.7bn, losses to approximately halve in FY27E/FY28E, and profitability to be achieved in FY29E. Deeper integration of Freshippo and Taobao Instant Commerce, expansion into non-food categories, and growth in the front-warehouse network are viewed as additional growth drivers. Together, these developments underpin the EPS inflection identified by Goldman Sachs. Goldman Sachs raised FY27E-FY29E adjusted EPS by 1%-8%, primarily reflecting higher cloud profits and improved investment discipline for Qwen applications. Specifically, forecasts were raised from RMB41.73/RMB55.98/RMB80.76 to RMB44.99/RMB59.86/RMB81.48. The report expects FY27E/FY28E EPS growth of 64%/33% year over year, with a clear acceleration beginning in the September quarter. Non-GAAP EPS for the September, December, and following March quarters is forecast at RMB10.65, RMB14.96, and RMB10.85, respectively, representing year-over-year growth of 144%, 111%, and 1,640%. Goldman Sachs believes the new segment disclosures will also help the market more clearly assess the standalone value of cloud, T-Head, and AI models and applications. Despite the higher earnings forecasts, the valuation methodology remains unchanged. BABA/9988.HK continue to be valued under an FY27E-based SOTP framework, with 12-month target prices maintained at US$186 per ADS and HK$180 per share, implying the report's stated upside of 44.3% and 42.6%, respectively.

Analysis framework

Goldman Sachs first compares the actual 1QFY27 results with its prior expectations, then analyzes growth and profit transmission across four themes: AI capex, cloud, AI applications, and e-commerce and quick commerce. The report assesses the rationale for AI investment using capital payback periods and ROIC; evaluates the cloud growth and margin trajectory using revenue mix, ARR, pricing, and chip commercialization; and assesses loss reduction in new businesses using unit economics and segment losses. It then adjusts capex, segment profit, and EPS forecasts accordingly before determining 12-month target prices through an SOTP framework.

Methodology notes

• Valuation methodologySOTP segment valuation

  FY27E-based sum-of-the-parts valuation

  The report separately considers the value of cloud, T-Head, AI models and applications, e-commerce, and other businesses, then aggregates them to derive Alibaba's overall valuation. Based on this approach, it maintains 12-month target prices of US$186 per ADS for BABA and HK$180 per share for 9988.HK.

• Company fundamentals and financial framework

  AI capex payback period and ROIC assessment

  The report assesses the economic rationale for AI capex using the current payback period of approximately three years and a scenario in which it improves to 2-2.5 years, while evaluating funding capacity based on core-business cash flow, cloud profits, and net cash.

• Industry analysis frameworkVolume-price decomposition

  Quick-commerce unit economics analysis

  The report breaks down changes in quick-commerce operations by order growth, average order value, and fulfillment efficiency, concluding that higher average order values and better fulfillment can improve per-order economics and narrow losses.

Asset mapping & comparison

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

• Alibaba Group ADR (BABA)

  The US-listed ADR directly represents the Alibaba cloud, AI, e-commerce, and quick-commerce businesses analyzed in the report, which maintains a Buy rating.

  Strengths

  Accelerating cloud revenue, greater visibility into AI investment returns, stable e-commerce cash flow, and narrowing quick-commerce losses.

  Weaknesses

  High AI capex is causing near-term free cash outflows, while CMR remains affected by macro consumer conditions and merchant rebate policies.

  Comparison

  The report lists a 12-month target price of US$186 versus a current price of US$128.90, implying 44.3% upside.

  Risks

  GMV growth, domestic retail monetization, strategic investment execution, or cloud revenue growth may fall below expectations.

• Alibaba Group H shares (9988.HK)

  The Hong Kong-listed shares, together with BABA, represent the operating performance of Alibaba Group analyzed in the report, which maintains a Buy rating.

  Strengths

  Cloud and AI-related revenue continue to grow rapidly, while losses in AI applications and quick commerce are expected to narrow.

  Weaknesses

  Higher capex pressures near-term cash flow, while traditional e-commerce continues to operate in a challenging macroeconomic environment.

  Comparison

  The report lists a 12-month target price of HK$180 versus a current price of HK$126.20, implying 42.6% upside.

  Risks

  GMV growth, domestic retail monetization, strategic investment execution, or cloud revenue growth may fall below expectations.

Key data

• 1QFY27 results assessmentBroadly in line with expectationsGoldman Sachs' initial assessment of the results
• June-quarter capexRMB68.0bnRMB26.9bn in the March quarter; Tencent recorded RMB53.0bn during the same period
• FY27E/FY28E capex forecastsRMB210.0bn/RMB240.0bnPreviously RMB178.0bn/RMB194.0bn
• AI capital payback periodCurrently approximately 3 years, potentially improving to 2-2.5 yearsConditions for improvement include higher AI gross margins and utilization, as well as greater adoption of proprietary T-Head chips
• June-quarter cloud revenue growth45%AI-related revenue achieved triple-digit growth for the 12th consecutive quarter
• September/December-quarter cloud revenue growth forecasts50%/52%Goldman Sachs previously forecast 46%/46%
• AI revenue as a share of external cloud revenue35%June-quarter level; the company targets 50% in FY27E
• MaaS ARRExceeded RMB16.0bn as of August 2026, equivalent to approximately US$2.4bnExpected to exceed RMB30.0bn by year-end
• Cloud EBITA margin forecastSeptember quarter 12.2%; FY27E 12.6%Management's medium- to long-term target is 20% or higher
• AI Labs and Applications growth forecastSeptember quarter 22%; FY27E 24%Current revenue grew 16% year over year
• AI Labs and Applications adjusted EBITA lossSeptember quarter RMB-12.3bn; FY27E RMB-51.0bnManagement expects losses to have peaked in the June quarter
• CMR growth forecast2QFY27E -5%; FY27E -5%Affected by the macro consumer environment and merchant rebate policies
• September-quarter quick-commerce loss forecastRMB-9.7bnHigher average order values and improved operating efficiency drive further loss reduction
• FY27E/FY28E/FY29E adjusted EPSRMB44.99/RMB59.86/RMB81.48Previously RMB41.73/RMB55.98/RMB80.76, representing increases of 1%-8%
• FY27E/FY28E EPS growth64%/33%Goldman Sachs expects a clear growth inflection beginning in the September quarter
• 12-month target prices and upsideBABA US$186, 44.3%; 9988.HK HK$180, 42.6%Both the target prices and SOTP valuation methodology remain unchanged

Impact & implications

Goldman Sachs believes the shorter AI capital payback period makes the high capex more economically justifiable, while accelerating cloud revenue and rising margins can gradually increase the investment's self-funding capacity. Meanwhile, stable cash flow from traditional e-commerce and narrowing losses in quick commerce and AI applications should drive a clear recovery in group profitability beginning in the September quarter and increase the likelihood that the market recognizes the value of cloud, chips, models, and applications under an SOTP framework. However, high capex will continue to pressure near-term free cash flow.

Risks

• A weaker macroeconomic environment or intensifying competition could cause GMV growth to fall below expectations.
• Monetization of the China retail business may progress more slowly than expected.
• Execution of key strategic investments may be weaker than expected.
• Cloud revenue growth may decelerate.

What to watch

• Monitor whether AI capex aligns with management's approximately three-year payback assessment after procurement timing normalizes.
• Monitor whether cloud revenue growth reaches Goldman Sachs' forecasts of 50% and 52% in the September and December quarters.
• Monitor whether AI revenue reaches 50% of external cloud revenue in FY27E and whether MaaS ARR surpasses RMB30.0bn by year-end.
• Monitor the pace at which the cloud EBITA margin approaches the long-term target of 20% or higher, as well as progress in T-Head chip commercialization.
• Monitor whether AI Labs and Applications losses peaked in the June quarter and continue to narrow.
• Monitor whether CMR and traditional e-commerce EBITA improve sequentially in the September quarter.
• Monitor changes in quick-commerce average order values, fulfillment efficiency, and losses, and track the FY29 profitability target.