Credit Update: Net cash funds Alibaba’s AI buildout

We previously initiated and updated coverage on Alibaba's bonds:

Credit Update: Alibaba’s fortress balance sheet anchors its credit profile amid elevated AI spend

Credit Update: Alibaba Q4 FY26 — Investment Cycle Deepens, Credit Thesis Intact

Since then, Alibaba provided a 1QFY27 (ending June 30, 2026) update on its results. We dive into the group’s latest numbers and provide our updated take on its credit profile.

First thing, we highlight that Alibaba has recast its reporting into four segments: Alibaba E-commerce Group (combining China E-commerce & Quick Commerce, international commerce), AI Cloud and Compute Services (Cloud Intelligence Group), AI Labs and Applications (model labs, Qwen consumer business group and Qwenwork – formerly buried inside “All Others”), and a much smaller residual All Others.

This is a meaningful upgrade in disclosure for bondholders. AI Labs and Applications now isolates Qwen app inference and marketing costs from other technology investment, making the quarterly adjusted EBITA drag from AI consumer app easier to track – directly addressing the transparency gap flagged in our prior updates.

1.  Alibaba E-commerce: EBITA holds the line with steady revenue growth

• E-commerce Group revenue grew 4% YoY to RMB 205.9b with adjusted EBITA broadly stable at RMB 39.7b (-1% YoY) – that said, we note this is a sharp sequential improvement from RMB 24.0b in the previous quarter (4QFY26), which was attributed by management to cost discipline flowing through to the bottom line after increased investments in user experiences and technology. In our view, the QoQ increase in adjusted EBITA is also proof of lower subsidy intensity, though part of the improvement is due to merchant subsidies now recorded as contra-revenue instead of sales and marketing (S&M) expense. Even accounting for this, overall S&M expenses fell to 17.6% of revenue (from 22% in 4QFY26), supporting our earlier takes that the segment’s EBITA has troughed and is on the path of recovery.

• Customer management revenue (CMR), representing fees charged to merchants for advertising and promotional placements on Taobao and Tmall, decreased 7% YoY headline, or grew just 1% YoY like-for-like (excluding merchant subsidy contra-revenue impact). This represents a step-down from 4QFY26’s 8% like-for-like growth due to weaker transaction activities.

• Quick commerce unit economics (UE) are improving sequentially. Even with the sub-segment growing 45% YoY to RMB 53.3b, management noted that losses narrowed substantially with UE improving QoQ. Notably, AliExpress achieved operating profit this quarter for the first time. Overall, we view quick commerce’s continued narrowing of losses and AliExpress turning profitable as clear positives for the group’s debt-servicing capacity.

• Looking forward, we expect the e-commerce group’s adjusted EBITA to continue its sequential recovery as S&M expenses keep normalising and quick commerce losses narrow towards profitability. The key risk is whether the CMR deceleration reflects a genuine demand slowdown rather than a one-quarter incidence – a persistent trend here would be the clearest trend to the segment’s role as Alibaba’s primary earnings anchor.

2.  AI Cloud and Compute Services: Increasing profitability

• Revenue surged 45% YoY to RMB 48.4b with adjusted EBITA up 133% YoY to RMB 5.6b. Crucially for bondholders, the adjusted EBITA margin expanded to 11.6% (1QFY25: 7.2%) due to improved economies of scale and stronger pricing power for AI-related products, partly offset by increased investments in customer growth and technology innovation.

• AI-related product revenue reached RMB 12.4b, continuing triple-digit Y/Y growth for the 12th consecutive quarter, lifting the annualised run rate from RMB 36b last quarter to RMB 49.5b. Notably, AI-related product revenue now accounts for 35% of external cloud revenue, up from 30%, highlighting increased adoption by external customers. Model as a service (MaaS) annual recurring revenue (ARR) also surpassed RMB 16b as of August, roughly halfway to the RMB 30b year-end FY27 (31 March 2027) target.

• Importantly for bondholders, management laid out a capital expenditure (capex) framework for the first time: AI capex should have a 3-year payback (compressing toward 2.5 years as margins improve), against a 5-year asset life, with positive free cash flow (FCF) expected for at least 2 years post-breakeven.

• Looking ahead, management guided to USD 100b (~RMB 672b) in external cloud revenue by 2030 with an expected gross margin of 20%. Combined with T-Head’s chip ramp (more than 650 customers across over 20 industries), we believe this segment remains Alibaba’s clearest diversifier to its e-commerce segment. Adjusted EBITA margins should continue to trend higher over time as the increased usage of its Zhenwu chips lowers Alibaba’s cloud compute cost base over time, alongside the continued growth of MaaS ARR, which management has previously indicated carries structurally higher gross margins.

3.  AI Labs and Applications joins All Others: Losses wider YoY, but narrowing QoQ trend

• AI Labs and Applications – now consolidating Qwen model labs, the consumer app and QwenWork – posted an adjusted EBITA loss of RMB 13.9b compared to 1QFY26’s loss of RMB 3.2b, driven by AI investment and higher Qwen app inference costs. Critically, management confirmed the loss narrowed QoQ because of lower marketing expenses for Qwen App and guided for losses to further narrow in the coming quarters. This validates the transient, campaign-driven nature during the Spring Festival, though we remain mindful of the possibility of new marketing campaigns in the future.

• The residual All Others segment also swung to an adjusted EBITA loss of RMB 3.3b from a RMB 0.7b profit (1QFY26) on increased investment in technology businesses, representing a secondary drag on consolidated EBITA (AI Labs and Applications remain the primary EBITA loss driver).

• Looking ahead, management’s qualitative commentary is the key factor to monitor – if the QoQ narrowing trend continues, AI Labs and Applications’ drag on consolidated EBITA should meaningfully ease, supporting the group’s overall credit profile. Conversely, a pickup in inference costs or Qwen monetisation disappoints would be the clearest signal that the segment’s losses could weigh on the group’s earnings capacity. Overall, we would keep a close watch on the progression of AI Labs and Applications’ EBITA losses, while reiterating the EBITA losses from the remaining All Others segment should not present a significant headwind to Alibaba’s creditworthiness.

4.  Liquidity and Credit Metrics: Buffers thinning but still comfortable

• Net cash (accounting for cash and equivalents and short-term investments maturing over the next 12 months) stands at approximately RMB 31b as of June 2026 — modestly softening from RMB 38b as of March 2026, reflecting the elevated capex cycle. Given the group’s current net cash position, we see little risk in the group’s ability to meet its short-term debt (RMB 28.2b over the next year) and do not expect any immediate refinancing risk. We highlight that post-quarter, Alibaba completed an equity raising of HKD 80b (~RMB 68b) to support its capex needs; in our view, this is a credit positive as it shows management’s flexibility in raising capital without further pressuring its balance sheet.

• On the cash flow front, net operating cash flow (OCF) rose 11.0% YoY to RMB 22.9b (1QFY26: RMB 20.7b), and up 143.8% QoQ mainly due to a seasonally soft March quarter — coinciding with Chinese New Year and the concentrated Qwen app marketing spend flagged earlier — rather than a fundamental shift in operating performance; Alibaba does not disclose the full working-capital breakdown needed to confirm this precisely However, capex surged 75.2% YoY and 154.4% QoQ to ~RMB 67b as the group ramp up on its capex spending related to AI. Consequently, free cash flow (FCF) was an outflow of RMB 44.7b, widening from 1QFY26’s outflow of RMB 18.8b and 4QFY26’s outflow of RMB 17.3b. Looking ahead, management cautioned against extrapolating this quarter’s capex figure, attributing the spike to uneven equipment delivery cycles; longer-term, management believes that as product gross margins rise, proprietary chip mix increases, and the payback period shortens, the technology giant is capable of sustaining positive free cash flow while still pursuing >40% growth. On balance, we continue to expect sustained OCF generation while FCF could remain pressured over the near-to-medium term.

• Interest coverage (TTM adjusted EBITA / TTM gross interest expense) has moderated to an estimated 7x (compared to March 26’s 8x). That said, we remain comfortable with this metric, while also noting that Alibaba generates decent investment/interest income that can help offset part of its interest expense per quarter (1QFY27 investment/interest income of RMB 9.0b vs gross interest expense of RMB 2.4b).

Bond recommendations

• Alibaba's credit profile has softened moderately since our initial update, but the thesis remains intact. The investment cycle is deeper and longer than initially estimated, but the drivers — quick commerce scaling and Qwen app distribution build-out — are strategic and time-bound rather than structural deterioration. The net cash position provides a solid buffer, and Cloud/AI is seeing increasing monetisation.

• Looking at Table 1 below, intermediate-dated BABA bonds (2030–2035 maturities), these issues offer yields-to-worst ranging from 4.82–5.29%, representing a 40+–50+ bps spread over comparable US Treasuries. Against Tencent, we find Alibaba’s bonds to be fairly priced. For investors looking for exposure to AI-linked, intermediate-tenor bonds, we think META’s bonds offer a higher yield pickup with a better credit rating (one notch higher than Alibaba). You can check out our latest coverage on META here: Credit Update: META’s capex ramp accelerates, cash flow compresses . 

Table 1: Alibaba Bonds comparison

Declaration: For specific disclosure, at the time of publication of this report, IFPL (via its connected and associated entities) holds NIL positions and the analyst who produced this report holds NIL positions in the abovementioned securities. 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.