Alibaba Group’s revenue edged above market expectations in the first quarter of fiscal 2027, but a sharp decline in profit, heavier spending on artificial intelligence and a surge in capital expenditure showed the financial cost of its push to expand cloud computing capacity.
The company reported quarterly revenue of 268.953 billion yuan, up 9% from a year earlier, compared with market consensus of 268.517 billion yuan. Adjusted net profit fell 38% to 20.715 billion yuan, missing the 25.576 billion yuan consensus estimate, while adjusted earnings per American depositary share dropped 42% to 8.52 yuan against an expected 11.28 yuan.
On a GAAP basis, net profit attributable to shareholders declined 75% year on year to 10.444 billion yuan. Operating profit fell 57% to 15.161 billion yuan.
The earnings underline a widening divide within Alibaba’s portfolio: cloud and AI services are expanding quickly and producing stronger margins, while the company’s established commerce operations are growing slowly or contracting in several areas. That split has left Alibaba funding an expensive infrastructure buildout while its largest legacy businesses generate less momentum.
Cloud growth offsets pressure in core commerce
Alibaba reorganized its reporting structure into four segments beginning this quarter. The e-commerce group remained by far the largest division, reporting 205.862 billion yuan in revenue, up 4% year on year. AI cloud and computing services generated 48.437 billion yuan, a 45% increase and the fastest growth among the company’s main operating units.
Other businesses posted revenue of 28.803 billion yuan, up 1%, while AI labs and applications generated 3.338 billion yuan, rising 16%.
AI cloud and computing services reported adjusted EBITA — earnings before interest, taxes and amortization — of 5.628 billion yuan, up 133% from the prior-year quarter. Its adjusted EBITA margin rose to 12%, indicating that Alibaba’s expanding cloud sales were also becoming more profitable at the segment level.
Revenue from AI-related products reached 12.376 billion yuan, according to Alibaba, extending a run of 12 consecutive quarters of triple-digit year-on-year growth. The figure points to sustained demand for AI computing, software products and related cloud services, even as the company absorbs the cost of expanding the hardware required to supply those services.
Alibaba’s traditional e-commerce operations delivered a less favorable picture. China instant retail revenue rose 45% to 53.295 billion yuan, reflecting continued demand for rapid local delivery services. China traditional e-commerce revenue, meanwhile, declined 8% to 110.900 billion yuan.
International e-commerce revenue slipped 1% to 27.761 billion yuan. Adjusted EBITA for the overall e-commerce group declined 1% to 39.749 billion yuan, despite the segment’s modest revenue growth.
The results place greater weight on Alibaba’s cloud unit as a driver of both expansion and future earnings. Yet the pace of AI infrastructure spending means that stronger cloud profitability has not translated into higher group-wide profit.
Capital spending accelerates as AI costs rise
Alibaba’s capital expenditure climbed 75% from a year earlier to 67.678 billion yuan during the quarter. Product development expenses rose 50% to 22.529 billion yuan.
The spending increase coincided with a deterioration in free cash flow. Alibaba recorded a net free-cash-flow outflow of 44.670 billion yuan, compared with an outflow of 18.815 billion yuan a year earlier. Net cash from operating activities rose 11% to 22.945 billion yuan, showing that the larger cash deficit was tied primarily to investment rather than a drop in operating cash generation.
The company ended the quarter with 474.505 billion yuan in cash and other liquid investments, giving it substantial capacity to continue financing cloud and AI expansion. The scale of its capital expenditure nevertheless illustrates the cash demands facing companies seeking to build and operate large machine-learning networks.
AI labs and applications remained a substantial drag on earnings, recording an adjusted loss of 13.861 billion yuan for the quarter. Alibaba also cited two items that weighed on profit: a 550 million-euro provision linked to the European Union’s Digital Services Act and a 4.458 billion yuan goodwill impairment.
Those charges help explain the steep year-on-year decline in reported profit, but the earnings release also shows that Alibaba’s investment cycle would pressure cash flow even without them.
Infrastructure race has limited direct read-through for crypto
The results may draw attention from cryptocurrency traders because AI expansion has increased interest in blockchain projects tied to decentralized computing, data networks and machine-learning applications. Alibaba’s figures provide a concrete example of the scale of spending required to compete in AI infrastructure: nearly 67.7 billion yuan in quarterly capital expenditure alongside substantial research and product-development costs.
That corporate spending alone does not establish a reliable near-term direction for cryptocurrency prices. Claims that AI hardware purchases will mechanically reduce global liquidity, trigger a specific market selloff, or force capital from payment-focused tokens into decentralized hardware assets are not supported by Alibaba’s financial results.
Publicly traded technology groups generally fund infrastructure through operating cash flow, cash reserves, debt markets and other corporate financing channels. Alibaba’s quarter reflects that pattern: operating cash flow increased and liquid investments remained well above its quarterly capital expenditure.
For projects presenting tokens as computing utilities, the more relevant issue is whether they can secure real demand for computing resources, maintain competitive pricing, and generate network revenue. A surge in spending by centralized cloud providers can create more demand for AI capacity, but it can also intensify competition for chips, servers, data-center power and customers.
Alibaba’s earnings therefore offer a clearer signal about the economics of the AI buildout than about any immediate token trade. The company is showing rapid cloud growth and improving divisional margins, while accepting lower near-term profit and weaker free cash flow to fund computing capacity.
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