Alibaba Shares Drop on Earnings: Analysts Cut Targets, Remain Bullish

Alibaba shares (NYSE:BABA) are 0.9% higher in the pre-markets, having fallen 7.09% to close at $124.90 on Thursday following a disappointing December quarter earnings report that underscored the mounting costs of the Chinese tech giant’s aggressive push into artificial intelligence, even as analysts maintained their conviction in the company’s long-term transformation story.

The sharp decline wiped more than $20B off Alibaba’s market cap in the session, reflecting investor concern over a dramatic year-over-year collapse in profitability. Trading volume surged as markets digested the implications of management’s decision to prioritise investment over near-term margins, a strategic gamble that has divided the investment community.

Analysts Trim Targets, Remain Bullish

Despite the earnings disappointment, Wall Street analysts offered a nuanced response that reflected both the near-term pain and longer-term opportunity.

US Tiger Securities upgraded Alibaba to Buy from Hold, though the firm trimmed its price target to $175 from $180. The upgrade into weakness signalled conviction that the post-earnings selloff created an attractive entry point for investors willing to look past the current margin trough.

“The company’s December quarter missed expectations on weaker than anticipated consumption trends and continued softness in transaction activity,” US Tiger told clients in a research note. “However, we believe the stock’s valuation is turning attractive given Alibaba’s strengthening AI momentum.”

Jefferies maintained its Buy rating but reduced its price target to $212 from $225, acknowledging the heavier-than-expected investment cycle while reaffirming confidence in the strategic direction.

The firm highlighted management’s plan for external cloud revenue to grow at more than 40% compound annual growth rate, reaching $100 billion within five years, with Model-as-a-Service as the key driver. On the e-commerce side, Jefferies expects Customer Management Revenue to grow at more than 5% year-over-year in the March quarter, suggesting the core business remains on a growth trajectory even if the pace is modest.

Both price targets imply substantial upside from current levels, with ~40% for US Tiger and 70% for Jefferies, underscoring that sell-side analysts broadly view Alibaba as mispriced relative to its AI assets and long-term earnings power. However, the target reductions also reflect a pragmatic acknowledgment that the path to realising that value has grown bumpier and more capital-intensive than previously modelled.

The Earnings Print

Alibaba reported third-quarter fiscal 2026 revenue of $40.73 billion, up from $38.38 billion in the prior-year period but falling short of analyst consensus estimates that had clustered around $40.9 billion to $41.6 billion. The modest revenue miss signalled that even robust growth in cloud and AI segments could not fully offset softness in the company’s core Chinese e-commerce operations.

The earnings picture proved far more concerning. Non-GAAP diluted earnings per American depositary share came in at approximately RMB 0.89, down roughly 67% year-over-year, translating to just 13 cents per share compared with 37 cents in the same quarter last year. The magnitude of the profit decline exceeded street expectations and raised questions about how long Alibaba can sustain its current investment trajectory before returning to meaningful earnings growth.

Management attributed the margin compression to deliberate strategic choices rather than operational missteps. The company is pouring capital into cloud AI infrastructure, foundation model training, proprietary chip development, and an aggressive expansion of quick-commerce and one-hour delivery services across China. These investments, while strategically sound in management’s view, are materialising faster and at greater scale than many investors had anticipated.

Cloud Intelligence Group Drives Growth

Amid the profitability pressures, Alibaba’s Cloud Intelligence Group delivered a standout performance, with revenue surging 36% year-over-year. This acceleration from prior quarters’ growth rates of around 34% provided tangible evidence that the company’s AI investments are translating into commercial traction. AI-related product revenue specifically maintained triple-digit year-over-year growth for the tenth consecutive quarter, a streak that few technology companies globally can match.

The cloud division’s momentum centres increasingly on Model-as-a-Service, a business model that allows enterprises to access Alibaba’s Qwen family of large language models through APIs rather than building their own foundation models from scratch. This approach mirrors strategies employed by leading U.S. hyperscalers and positions Alibaba to capture recurring revenue as Chinese enterprises adopt generative AI capabilities.

Management unveiled an ambitious five-year target to surpass $100 billion in external AI plus cloud revenue, implying a compound annual growth rate of approximately 40%. Achieving this milestone would transform Alibaba’s business mix and potentially justify a re-rating toward valuation multiples more typical of pure-play cloud and AI infrastructure providers.

Consumer AI Gains Scale

On the consumer front, Alibaba highlighted the rapid adoption of its Qwen app, which integrates AI agents across the company’s e-commerce ecosystem. The platform has surpassed 300 million monthly active users, making it one of the most widely deployed consumer AI interfaces globally. These AI agents are not merely experimental features but are executing real-world tasks at scale, including product search, purchase recommendations, and customer service interactions.

“This quarter, Alibaba maintained strong investments across our core pillars of AI and consumption. AI is and will continue to be one of our primary growth engines,” said Eddie Wu, CEO of Alibaba Group. “Looking ahead, we are well-positioned to drive growth on both enterprise AI and consumer AI fronts, powered by our full-stack AI capabilities spanning foundation models, cloud infrastructure, and proprietary chips, alongside deep integration with our broader ecosystem.”

Management also referenced Alibaba Token Hub, a new architecture designed to embrace what the company calls Agentic AI, where intelligent software agents autonomously perform complex workflows for both enterprise customers and individual consumers. The initiative represents Alibaba’s bet that the next wave of AI value creation will come from agents that can navigate multiple systems and complete multi-step tasks with minimal human oversight.

Headwinds Persist

The earnings miss occurred against a backdrop of persistent macroeconomic challenges in China, where consumption trends have remained softer than policymakers and corporate executives had hoped. Despite various stimulus measures introduced over the past year, Chinese consumers have proven reluctant to significantly increase spending, weighing on Alibaba’s transaction volumes and customer management revenue growth.

Competitive intensity in Chinese e-commerce also shows no signs of abating. Rivals including PDD Holdings and JD.com continue to invest heavily in price subsidies and logistics, forcing Alibaba to match or exceed their spending to defend market share. The quick-commerce and one-hour delivery push, while strategically necessary, adds another layer of capital intensity to an already stretched margin profile.

Geopolitical risks further complicate the investment thesis. U.S.-China technology tensions and export controls on advanced semiconductors pose ongoing challenges to Alibaba’s ability to access cutting-edge chips for AI training and inference. While the company is developing proprietary chips and has demonstrated resourcefulness in navigating restrictions, the regulatory overhang contributes to a persistent valuation discount relative to U.S. technology peers with comparable AI ambitions.

From a valuation perspective, Alibaba now trades at levels that value bulls argue fail to adequately reflect the company’s AI and cloud assets. The stock’s price-to-earnings multiple has compressed as earnings estimates have come down, creating what some analysts view as a margin of safety for long-term investors. However, bears counter that the multiple compression is justified given execution risk, China-specific headwinds, and the extended timeline before AI investments translate into sustained profit growth.

Technical traders note that the stock has broken below key support levels, potentially triggering further algorithmic selling and creating overhead resistance that could cap near-term rallies. The sharp post-earnings decline also suggests that many investors who had positioned for a more benign quarter were caught off guard, leading to forced liquidation that may take time to fully clear.