Alibaba Q1 profit misses on AI spending as analysts revise targets

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Reviewed by
Naman SScanX News Team
Key Highlights
  • Alibaba Q1 FY27 revenue rose 9% YoY to $39.64 billion, beating estimates
  • Adjusted EPS fell 42% to $1.26, missing expectations due to AI capex
  • AI Cloud revenue surged 45% to $7.14 billion
  • Analysts revised price targets: Barclays up to $200, JPMorgan to $210
  • Stock dipped 8.4% to $119.62 on post-earnings selling pressure
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Alibaba Group Holding (NYSE: BABA) shares dipped 8.4% to $119.62 on Friday, reflecting investor caution over near-term profit pressure despite strong revenue growth. The company reported fiscal first-quarter 2027 revenue of $39.64 billion, up 9% year over year and beating analyst consensus of $38.63 billion. However, adjusted earnings per American Depositary Share (ADS) fell 42% to $1.26, missing the expectation of $1.85.

The earnings miss was driven by massive capital expenditure on AI infrastructure and proprietary chips. Adjusted net income declined 38% to $3.05 billion, while adjusted EBITA fell 30% to $4.03 billion. Net income plunged 75% to $1.54 billion. Alibaba attributed this margin compression to its strategic decision to prioritize long-term AI growth over near-term profitability.

Cloud and AI Drive Growth

The cloud segment emerged as the primary growth engine, with AI Cloud and Compute Services revenue jumping 45% to $7.14 billion. Customers increasingly adopted public cloud and AI products, with AI-related product revenue reaching $1.82 billion. This marks the 12th consecutive quarter of triple-digit year-over-year growth for AI products. CEO Eddie Wu highlighted that Alibaba Cloud's external revenue growth accelerated to a 22-quarter high, driven by compute, storage, model as a service (MaaS), and AI applications.

Management noted that AI-related products now account for 35% of external cloud revenue, with an annual revenue run rate surpassing 49.5 billion RMB (around US$7.3 billion). CFO Toby Xu reinforced that quarterly AI-related revenue reached RMB 12.4 billion ($1.84 billion). Benchmark analyst Fawne Jiang sees agentic AI adoption as a major driver, noting that AI agents consume more tokens and computing resources while increasing demand for storage, databases, and networking. Jiang highlighted that Alibaba’s Model-as-a-Service business annual recurring revenue has surpassed 16 billion Chinese yuan, with management expecting the run rate for AI-related revenue to approach $10 billion as early as next quarter.

Older Nvidia GPUs Remain Fully Utilized

One of the most revealing comments from the earnings call concerned the staying power of Nvidia Corp.'s older AI chips. Management stated that GPUs purchased as far back as 2018 are still operating at full capacity across its AI infrastructure. CFO Toby Xu said Alibaba expects its AI assets to generate "very positive and robust cash flow" after a three-year payback period.

To illustrate the point, Xu cited the company's existing GPU fleet, saying "an A100 purchased in 2020 or a V100 purchased in 2018 even today are still running at full capacity." The comment offers a rare glimpse into the useful life of AI accelerators inside one of the world's largest cloud providers. While much of the industry's attention has centered on the rapid rollout of newer chips, Alibaba indicated that older hardware continues to play a meaningful role in serving AI workloads.

Rapid GPU turnover has fueled fears that today's cutting-edge accelerators could become obsolete within just a few years. Alibaba's experience suggests otherwise. Rather than retiring older GPUs as newer chips arrive, the company says its existing hardware remains fully utilized years after deployment — and, per Xu, continues to generate cash flow well past its roughly three-year payback period. Alibaba did not disclose what share of its AI workload still runs on V100s or A100s. But continued full utilization of both generations suggests demand has been strong enough to absorb legacy and new hardware alike.

E-Commerce Weakness Contrasts With AI Boom

In contrast to the cloud boom, Alibaba’s core commerce businesses faced headwinds from subdued consumer demand in China. The China E-commerce Group revenue fell 8% to $16.35 billion. International E-commerce revenue also slipped 1% to $4.09 billion.

To counteract this weakness, Alibaba is integrating AI into its commerce operations through tools like the Qwen Shopping Assistant and the Qwen app. The company has combined its China e-commerce, international commerce, and Freshippo businesses to generate greater operating synergies across its shopping platforms. Additionally, Alibaba sold non-core assets, including Lingxi Games, to streamline operations. Management stated that Taobao Instant Commerce continued to improve its unit economics quarter over quarter while maintaining market share.

Benchmark analyst Fawne Jiang sees improving economics in Alibaba’s e-commerce operations, noting that e-commerce revenue rose 4% year over year while like-for-like customer management revenue grew about 1%. Quick Commerce revenue increased 45%, with losses narrowing faster than expected. Management expects non-food transaction volume to surpass food within the next fiscal year and believes Quick Commerce could eventually contribute about 30% of platform GMV while reaching profitability by fiscal 2029.

Financial Performance Context

The results highlight a sharp divergence between top-line expansion in high-growth tech segments and bottom-line pressure from heavy investment. While the cloud business led growth, overall operating profit faced significant strain. Alibaba reported an 11% increase in operating cash flow to $3.38 billion. However, investments in cloud infrastructure contributed to $6.58 billion in free cash flow usage. The company ended June with $69.93 billion in cash and other liquid investments. CFO Toby Xu clarified that capex increased significantly to RMB 67.7 billion ($10.07 billion), primarily due to AI infrastructure investments and fluctuations in procurement cycles.

Jiang said management remains on track with its 380 billion Chinese yuan ($56.53 billion) three-year AI infrastructure plan, with about 190 billion Chinese yuan ($28.27 billion) invested through June. She noted that current AI infrastructure investments reach breakeven in roughly three years, with potential for shorter payback periods as margins improve and Alibaba deploys more T-Head chips.

Metric Value Change
Total Revenue $39.64 billion +9% YoY
AI Cloud & Compute Revenue $7.14 billion +45% YoY
China E-commerce Revenue $16.35 billion -8% YoY
International Commerce Revenue $4.09 billion -1% YoY
Adjusted EPS $1.26 -42% YoY
Net Income $1.54 billion -75% YoY

Analyst Expectations and Revisions

Market consensus anticipated stronger performance for the current quarter. Analysts previously projected revenue to rise 8.35% to $39.74 billion. Earnings per share were expected to fall from $2 to $1.48. The actual reported EPS of $1.26 fell short of this revised expectation.

Several brokerages have raised or lowered their price targets following the earnings announcement:

  • Baird analyst Colin Sebastian maintained the stock with an Outperform rating and lowered the price target from $164 to $160.
  • Barclays analyst Jiong Shao maintained the stock with an Overweight rating and raised the price target from $195 to $200.
  • JPMorgan analyst Alex Yao maintained the stock with an Overweight rating and raised the price target from $205 to $210.

Bloomberg Intelligence analysts Catherine Lim and Jason Zhu believe Alibaba’s AI advantage could become easier to quantify in 2027 if returns on each yuan invested continue to improve. They expect easing competition in delivery services to support operating cash flow. However, they cautioned that record capital spending on proprietary chips and AI applications could absorb much of those cash flow gains.

Jiang raised her adjusted EBITDA estimates to 171 billion Chinese yuan ($25.44 billion) for fiscal 2027 and 212 billion Chinese yuan ($31.54 billion) for fiscal 2028, representing double-digit increases to both forecasts. She maintained a Buy rating and a $220 price forecast on Thursday, calling Alibaba the best-positioned AI investment within China’s internet sector.

What the Numbers Show

The divergence between the 45% growth in AI Cloud revenue and the 75% decline in net income highlights the aggressive capital expenditure associated with AI infrastructure. While the cloud segment is expanding rapidly, the cost of maintaining and scaling these models is currently outpacing the immediate profitability contribution of that growth. The latest EPS miss of 31.89% against estimates further underscores the margin compression resulting from these investments. The fact that free cash flow usage ($6.58 billion) significantly exceeded operating cash flow generation ($3.38 billion) indicates that the company is funding its AI ambitions primarily through existing cash reserves rather than current operational cash flows. Additionally, the continued full utilization of V100 and A100 GPUs suggests that Alibaba is maximizing the return on prior capital expenditures, potentially extending the economic life of its hardware fleet despite heavy new spending.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How will Alibaba's continued heavy capital expenditure on AI infrastructure impact its free cash flow trajectory and ability to return capital to shareholders in the near term?

Given the full utilization of older Nvidia GPUs, what is the strategic timeline for integrating proprietary T-Head chips into production workloads to reduce dependency on external hardware suppliers?

Can Alibaba's AI-driven commerce tools, such as the Qwen Shopping Assistant, sufficiently offset the 8% revenue decline in its core China E-commerce business amidst subdued consumer demand?

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Alibaba plans $1.5B sale of gaming unit to focus on AI growth

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Reviewed by
Riya DScanX News Team
Key Highlights

Alibaba Group is selling Lingxi Games to Trustar Capital for at least $1.5 billion to refocus on AI. The move follows previous divestitures totaling $2.6 billion. Alibaba’s AI segment has seen downloads surpass Meta and Alphabet, with 460+ open-source models generating 300,000 derivatives.

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Alibaba Group Holding Ltd. (NYSE: BABA) is reportedly offloading its gaming unit, Lingxi Games, to Asian private-equity firm Trustar Capital for a minimum of $1.5 billion. The transaction is part of Alibaba’s strategy to sharpen its focus on artificial intelligence (AI) and e-commerce by divesting non-core assets.

Lingxi Games Chief Executive Zhou Bingshu stated that the sale aligns with Alibaba’s overall roadmap. The Wall Street Journal reported on Monday, citing an internal memo, that the exact transaction size was not disclosed beyond the minimum figure. Alibaba stock rose 1.08% during Monday pre-market trading.

Strategic Shift Toward AI

The divestiture coincides with significant expansion in Alibaba’s AI sector. Over the last six months, Alibaba’s AI model downloads have surpassed those of Meta Platforms Inc. (NASDAQ: META) and Alphabet Inc. (NASDAQ: GOOG). The company now hosts more than 460 open-source models, the largest collection globally, which have generated over 300,000 derivatives.

Adoption has accelerated after Apple Inc. (NASDAQ: AAPL) began using Alibaba’s models in China. Apple is reportedly developing its own AI models for the Chinese market with Alibaba’s support.

Portfolio Streamlining

Alibaba has been systematically reducing exposure to non-core businesses to free up capital for high-growth areas. In late 2024, the company sold stakes in Sun Art and Intime for a combined $2.6 billion. This follows a similar pattern seen elsewhere in the tech sector, such as ByteDance’s earlier sale of its gaming studio Moonton.

Key Metric Value
Minimum Sale Price $1.5 billion
Buyer Trustar Capital
Asset Sold Lingxi Games
Previous Divestitures $2.6 billion (Sun Art, Intime)
Open-Source AI Models 460+
AI Model Derivatives 300,000+

What the Numbers Show

The scale of Alibaba’s recent divestitures highlights a clear capital reallocation strategy. The reported minimum value of the Lingxi Games sale ($1.5 billion) represents approximately 58% of the combined $2.6 billion raised from the Sun Art and Intime stake sales in late 2024. This indicates that gaming remains a substantial asset class for the group, even as it exits the sector to fund AI infrastructure, evidenced by the massive derivative generation from its open-source model library.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How will the $1.5 billion infusion from the Lingxi Games sale specifically accelerate Alibaba's infrastructure investments in its open-source AI model library?

What impact might Apple's reliance on Alibaba's AI models for its Chinese market operations have on Alibaba's competitive positioning against domestic rivals like Baidu and Tencent?

Could Trustar Capital's acquisition of Lingxi Games signal a broader trend of private equity firms targeting gaming assets divested by major tech conglomerates?

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