Alibaba’s 1QFY2027 results: AI bet is getting bigger - is the payoff getting closer?

• Revenue rose 9% YoY, while headline net income fell 75%. Non-GAAP net income declined a more modest 38%, pointing to a stronger underlying performance across core businesses.
• Quick Commerce revenue grew 45% YoY, while E-commerce EBITA improved sharply to CNY39.7 billion from CNY23.9 billion in the March quarter, highlighting improving unit economics.
• Cloud and Compute revenue grew 45% YoY, while adjusted EBITA surged 133%, suggesting Alibaba’s AI infrastructure investments are beginning to translate into real revenue and profit growth.
• HKD80 billion equity placement represents only modest 3.8% share dilution, while strong oversubscription highlights institutional investors’ confidence in Alibaba’s AI-driven growth prospects.
• Target price lowered, but upside remains substantial. We cut our Alibaba SDR target to SGD6.04 due to heavier capex, still implying 65% upside from the 24 August close. Our targets are HKD186 for HKEX shares (HKEX: 9988) and USD191 for NYSE ADS (NYSE: BABA).

Alibaba Group delivered one of its most polarising quarterly results on 20 August 2026. At first glance, the numbers looked worrying. Revenue rose 9% year on year to CNY268.95 billion, narrowly beating expectations, but net income plunged 75% to just CNY10.4 billion.

Yet the market reaction was anything but straightforward. Alibaba’s US-listed shares fell more than 4% in pre-market trading before recovering to close 1.3% higher on 20 August. Its Hong Kong-listed shares subsequently fell 1.7% the following day.

The mixed reaction reflects a bigger question facing investors: Is Alibaba sacrificing near-term earnings to capture a potentially much larger AI opportunity, or is it simply spending heavily without a clear path to profitability?

Reporting reshuffle puts AI front and centre

Before looking at the numbers, it is worth noting a significant change in how Alibaba is reporting its businesses. The group has reorganised its operations into three headline pillars, two of which are explicitly centred on AI.

•  Alibaba E-commerce Group brings together the company's commerce businesses under one roof, spanning domestic platforms such as Taobao and Tmall, cross-border businesses including AliExpress, Trendyol and Lazada, quick commerce through Taobao Instant Commerce and Freshippo, and wholesale platforms such as 1688 and Alibaba.com.
• AI Cloud and Compute Services combines Alibaba Cloud with T-Head, its chip-design subsidiary. This brings together proprietary chips, cloud infrastructure and software orchestration into a single full-stack AI offering.
• AI Labs and Applications houses the group’s model development and AI application businesses, including the Qwen model family, enterprise agent QwenWork and the consumer-facing Qwen App.

The reshuffle is more than a reporting exercise. It signals that Alibaba increasingly sees its competitive advantage as a combination of commerce, computing infrastructure and AI applications rather than simply a collection of geographically defined businesses. More importantly for investors, the new structure makes AI monetisation easier to track. It separates the infrastructure layer from the application layer, giving investors greater visibility into where revenue is being generated — and where profitability is still a work in progress.

Earnings breakdown: Three businesses, three very different stories

E-commerce: stable, with early signs of margin recovery

Alibaba E-commerce Group revenue increased 4% YoY to CNY205.9 billion. The headline growth may appear modest, but the underlying mix is becoming more encouraging.

Quick Commerce revenue surged 45% to CNY53.3 billion, helping offset weakness in traditional China e-commerce, where revenue declined 8%. More importantly, the economics of Quick Commerce appear to be improving. Adjusted EBITA for the E-commerce Group was broadly stable at CNY39.7 billion, compared with CNY40.0 billion a year earlier, but this was a significant improvement from CNY23.9 billion in the March quarter.

That improvement matters because Alibaba has spent heavily on subsidies to build its Quick Commerce position. As subsidies moderate, order economics improve and the business shifts towards a higher-value mix, the drag on group profitability should gradually ease.

AliExpress also reached operating profitability, providing another positive signal that Alibaba’s international commerce investments are beginning to mature.

In other words, e-commerce may no longer be the group's fastest-growing business, but it remains critical for one reason: it provides the cash-flow foundation needed to fund Alibaba’s more aggressive AI ambitions.

Cloud and compute: the strongest part of the story

If e-commerce is Alibaba’s financial anchor, Cloud and Compute Services is increasingly becoming its growth engine. Cloud revenue jumped 45% YoY to CNY48.4 billion, accelerating from 38% growth in the March quarter. Revenue from external customers also accelerated from 30% to 45%, suggesting that the growth is increasingly being driven by genuine external demand rather than internal consumption alone (Figure 1).

The profitability trend is also encouraging, though from a smaller base. Adjusted EBITA surged 133% YoY to CNY5.6 billion, while the segment's adjusted EBITA margin improved from around 9% to nearly 12%.

This is perhaps the most important takeaway from the results: Alibaba’s AI infrastructure spending is already generating measurable commercial returns. Although its profitability still lags behind Western peers such as Amazon’s AWS and Google Cloud, both of which recorded more than 30% operating margins in the quarter ended 30 June 2026, this gap is partly due to Alibaba’s smaller scale and earlier stage of AI infrastructure build-out. Its investment remains heavily front-loaded, while its cloud business is still primarily focused on China rather than benefiting from the global scale of its Western peers.

Figure 1: Alibaba’s Cloud and external consumer revenue growth both accelerated

AI applications: growth today, profits later

The picture is very different at the application layer. AI Labs and Applications revenue grew 16% YoY to CNY3.3 billion, but adjusted EBITA losses widened sharply, from CNY3.2 billion to CNY13.9 billion. The deterioration reflects heavy investment in AI models and agents, as well as rising inference costs associated with the Qwen App. In our view, this is where the market's concerns are most justified: unlike the E-commerce and Cloud segments, the application layer has yet to show the kind of margin inflection that would suggest losses are close to peaking.

Even so, when weighed against the group's other two segments, Alibaba’s results were not as weak as the headline net income figure suggests. Revenue growth remained healthy and broad-based. E-commerce remained profitable and relatively stable, while Cloud and Compute accelerated sharply.

At the consolidated level, however, adjusted EBITA fell 30% YoY to CNY27.3 billion, largely reflecting heavier AI investment and losses from the newly separated AI application business. GAAP net income was hit even harder, falling 75%. This included a number of non-operating factors, including a CNY4.46 billion goodwill impairment, a provision related to the EU Digital Services Act fine, and a 48% decline in interest and investment income to CNY9.0 billion as investment disposal gains and mark-to-market gains weakened. This is why investors need to look beyond the headline net income number.

The core question is not whether Alibaba’s earnings are falling today, but rather whether the earnings being sacrificed today are building businesses capable of generating significantly higher earnings tomorrow.

Table 1: YoY revenue breakdown

Revenue Segments (CNY, Million)	1QFY2026	1QFY2027	YoY%
Alibaba E-commerce Group	198,812	205,862	4%
China E-commerce	120,874	110,900	-8%
- Customer management	89,199	82,547	-7%
-Direct sales, logistics and others	31,675	28,353	-10%
China Quick commerce	36,725	53,295	45%
International E-commerce	28,177	27,761	-1%
Global Wholesale	13,036	13,906	7%
Cloud Intelligence Group	33,418	48,437	45%
AI Labs and Applications	2,882	3,338	16%
All others	28,629	28,803	1%
Unallocated	519	783
Inter-segment elimination	-16,608	-18,270
Consolidated revenue	247,652	268,953	9%
Source: Alibaba 1QFY2027 Earnings Report. Data as of 30 June 2026.

Table 2: Adjusted EBITA across core business units

Adjusted EBITA (CNY, Million)	1QFY2026	1QFY2027	YoY%	Key Takeaway
Alibaba E-commerce Group	39,988	39,749	-1%	Quick Commerce economics improving; AliExpress turned operating profitable
Cloud Intelligence Group	2,419	5,628	133%	External customer growth accelerated; AI product adoption continued to rise
AI Labs and Applications	-3,224	-13,861	-330%	Higher model, agent and Qwen App investment costs
All Others	687	-3,343	-587%
Consolidated EBITA	38,844	27,329	-30%	Lower YoY due to heavy AI investment, but improved significantly from 4QFY2026
Source: Alibaba 1QFY2027 Earnings Report. Data as of 30 June 2026.

Alibaba is spending aggressively on AI — and now raising capital

That brings us to the biggest concern surrounding the stock: how Alibaba is funding its AI ambitions. The concern became more visible on 23 August, when Alibaba announced a placement of 710 million new ordinary shares to non-US investors at HKD112.70 per share, raising approximately HKD80 billion. Management said 100% of the net proceeds would be used to strengthen its full-stack AI capabilities and infrastructure.

The timing is hardly surprising. Alibaba’s capital expenditure reached CNY67.7 billion in the June quarter, up 75% YoY. Free cash flow recorded a negative CNY44.7 billion, while net cash fell from CNY260.8 billion to CNY208.0 billion in just one quarter. The numbers highlight a clear tension: Alibaba’s AI investment is growing faster than its current cash generation can comfortably support.

The share placement therefore triggered an immediate negative reaction, causing Alibaba shares to fall by more than 8% on 24 August in Hong Kong.

The dilution is real, but relatively modest. The 710 million new shares represent roughly 3.8% of the approximately 18.7 billion basic shares outstanding. More encouragingly, the placement was reportedly oversubscribed within an hour, with participation from global sovereign wealth funds and long-only investors. While this does not eliminate the dilution, it suggests that institutional investors remain willing to back Alibaba’s AI strategy.

The broader concern — that AI infrastructure requires enormous amounts of capital — is legitimate. But Alibaba is not alone.

The AI investment cycle is forcing even the world's largest technology companies to explore new funding sources as capital expenditure rises rapidly. In June 2026, Alphabet raised approximately USD49.6 billion through a combination of Class A shares, Class C shares and mandatory convertible preferred stock to support AI infrastructure investment. Amazon, Nvidia and Oracle have also been exploring debt financing for their AI spending.

The difference is that Alibaba’s capital intensity is currently much higher relative to its cash generation (Figure 2).

Figure 2: Alibaba’s trailing 12-month capex-to-operating cash flow ratio is the highest among major hyperscalers

That is likely because Alibaba’s E-commerce business is still recovering from a year of heavy Quick Commerce investment, while cloud margins remain in the low double digits. The good news is that the latest quarter provided early signs of improvement on both fronts (Figure 3).

Looking ahead, we expect E-commerce profitability to continue recovering as Quick Commerce unit economics improve, while Cloud margins should expand further. Google Cloud offers a useful precedent: its operating margin rose from 20.7% a year earlier to 35.6% in 2Q26, demonstrating how quickly margins can improve once scale, utilisation and an AI-driven revenue mix reach an inflection point. This provides a useful roadmap for Alibaba Cloud. Its margin has improved from around 7% to 12% over the past five quarters — moving in the same direction, albeit earlier and more gradually, and from a smaller base. If these trends continue, Alibaba’s underlying cash generation could gradually catch up with its AI investment needs. That would make the current capital raising less of a warning sign and more of a bridge to the next stage of growth.

Figure 3: EBITA margins for both E-commerce and Cloud improved in the June quarter

The bigger question: can AI spending generate returns?

Dilution understandably grabbed the headlines, but we do not think it is the central question for Alibaba's investment case. The more fundamental issue is whether the billions being poured into AI can eventually produce returns that justify the investment.

We believe there are already encouraging signs, particularly at the infrastructure layer. Cloud and Compute Services is now Alibaba’s fastest-growing major business, with adjusted EBITA growing triple digits and margins expanding.

AI-related product revenue has also risen rapidly. Its annualised run-rate increased from around CNY36 billion to CNY49.5 billion within a quarter, marking the 12th consecutive quarter of triple-digit YoY growth. Twelve quarters are long enough to suggest that this is becoming more than a short-lived AI hype cycle.

More importantly, Alibaba has multiple potential monetisation channels. It can generate revenue through cloud infrastructure, AI products and APIs, chip sales through T-Head, and greater spending by merchants using AI tools across its e-commerce ecosystem. That creates a more diversified AI monetisation model than simply betting on the success of a single consumer application.

The application business, however, remains the part we would watch most closely. AI applications across the industry — from Microsoft's Copilot and Google's Gemini to Meta AI and ChatGPT — remain in a relatively early stage of monetisation. Companies are spending heavily to build user bases, improve models and absorb inference costs before meaningful profitability emerges.

Alibaba faces the same challenge with Qwen. We expect inference costs to continue to fall rapidly, allowing AI applications to scale without a corresponding increase in operating costs. Alibaba also has several potential monetisation avenues, including enterprise subscriptions, premium consumer features and API and developer revenue from third parties building on Qwen through Model Studio.

If adoption continues to rise while inference costs fall, the application layer could eventually move from being a significant drag on earnings to a meaningful contributor. Importantly, management has indicated that the expected payback period for AI-related investments is on track to shorten to 2.5 years from three years, driven by surging demand. This provides a useful gauge of management’s confidence in the returns from its AI investments, while the shortening payback period suggests that the path towards meaningful AI monetisation could be arriving sooner than expected.

The hefty AI cost today could unlock higher valuation tomorrow

Alibaba’s latest results show that the near-term earnings picture is under pressure, but underneath the headline numbers, the business is more dynamic. AI infrastructure is already generating meaningful revenue growth and improving profitability. Alibaba is also building an increasingly integrated ecosystem spanning chips, cloud computing, AI models, applications and e-commerce. The clearest counterweight to this optimism remains the AI Applications layer, where losses widened sharply this quarter with no clear margin inflection point yet in sight. On balance, and provided inference costs continue to fall and cloud margins keep expanding as they did this quarter, we believe the current earnings pressure is a price worth paying to build Alibaba's next growth engine.

We continue to value Alibaba using a sum-of-the-parts (SOTP) approach. For the E-commerce segment, we raise our fair P/E multiple from 10x to 11x. The 11x fair P/E multiple for Alibaba’s E-commerce segment still represents a premium to Chinese E-commerce peers such has JD.com and PDD Holdings, justified by its dominant position in China, successful overseas expansion that broadens its total addressable market, and rapidly growing Quick Commerce business. However, it remains at a significant discount to pure-play global E-commerce players such as Etsy and eBay, reflecting the higher cross-border and China-related risk premium. (Table 3)

Table 3: Forward P/E comparison among E-commerce peers

E-commerce Peers	Forward P/E
PDD Holdings	8.5x
JD.com	8.9x
Etsy Inc	16.7x
eBay	17.5x
Alibaba	17.7x
Amazon	18.0x
Mercado Libre	50.4x
Source: Bloomberg Finance, L.P., iFAST Compilations Data as of 24 August 2026.

For the Cloud Intelligence Group, we maintain our 3.0x fair P/S multiple, while assigning the AI Labs and Applications segment a 1.0x fair P/S multiple. Despite the longer-term monetisation potential of Alibaba’s AI investments, we apply a deep discount to the AI application business given its high capex requirements and currently limited profitability.

Our overall valuation also incorporates the substantial capital expenditure required to support Alibaba’s AI build-out through FY2029. As a result, we lower our target price for the Alibaba SDR from SGD6.71 to SGD6.04. Despite the lower target price, this still implies 65% upside as of FY2029 from its closing price on 24 August. We believe the recent sell-off has been excessive relative to the company’s long-term fundamentals, creating an attractive opportunity to accumulate the stock on weakness.

The corresponding target prices are HKD186 for Alibaba’s HKEX-listed shares (9988) and USD191 for its NYSE-listed ADS (BABA).

Table 4: Earnings table

	FY2026A	FY2027E	FY2028E	FY2029E
EPS (SGD per SDR)	0.12	0.19	0.23	0.28
P/E (x)	31.4x	19.4x	15.9x	13.0x
YoY EPS Growth (%)	-61.6%	61.7%	21.9%	22.4%
Dividend Yield (%)	0.90%	1.00%	1.09%	1.20%
Target Price (SGD per SDR)				6.04
Current Price (SGD per SDR)				3.67
Upside				64.5%
Source: iFAST Estimates. Data as of 24 Aug 2026.

Declaration:

For specific disclosure, at the time of publication of this report, IFPL (via its connected and associated entities) who produced this report hold a NIL position in the abovementioned securities. The analyst who produced this report held a position in Alibaba (HKEX:9988).

This research report was prepared with the assistance of artificial intelligence (AI) tools. iFAST Financial Pte Ltd does not rely exclusively on AI for content generation; the content of this report – including all investment theses, ratings, price targets and conclusions – has been independently reviewed and verified by the research analyst(s) to ensure accuracy and professional integrity.