Sea Limited, the Singapore owner of Shopee, Monee and Garena, reported a third-quarter operating loss of $90.4 million in Other Services, the businesses outside its three segments, against $27.0 million a year earlier, according to its results release on 10 November. Revenue in that unit rose to $50.1 million from $48.4 million.
On the same day, Sea told investors its AI capabilities are “today a cost centre for Sea” that its new Sea Cloud unit aims to turn into a profit centre. By our arithmetic, the wider Other Services loss offset about 28% of the $229.0 million gain in operating income at Shopee, Monee and Garena.
Business Pill · Vertical Integration
An evergreen Business Engineer explainer on vertical integration. It teaches the general idea only and does not discuss Sea.
The key insight: Sea’s Other Services, the businesses outside Shopee, Monee and Garena, lost $90.4 million at the operating level in the third quarter, against $27.0 million a year earlier. By our arithmetic, that wider loss offset about 28% of the $229.0 million gain in operating income at the three main segments, in the quarter Sea called its AI capabilities a cost centre.
Revenue rose 43.4% to $8.6 billion and net income rose 34.0% to $502.5 million. Total adjusted EBITDA grew 28.9% to $931.3 million. Diluted earnings were $0.78 a share; a post on X by Wall St Engine put the consensus estimate at $0.79 and revenue at $8.05 billion. Those estimates are the poster’s.
A post on X by Wall St Engine at 11:32 UTC on 10 November summarising Sea’s results. Its consensus estimates are the poster’s, not Sea’s.
Shopee revenue rose 41.3% to $6.1 billion on GMV of $39.7 billion, up 23.3%. Its adjusted EBITDA rose 44.7% to $269.2 million, which Sea calls its most profitable quarter ever. Core marketplacerevenue, mainly transaction fees and advertising, rose 50.6% to $4.6 billion, while logistics-related value-added services were flat at $724.4 million.
Monee revenue rose 63.9% to $1.6 billion, but its adjusted EBITDA rose only 15.5% to $298.3 million. Group provision for credit losses rose 82.3% to $681.5 million, and loans over 90 days past due rose to 1.3% of the $12.6 billion book, from 1.1%.
Garena bookings rose 5.9% to $890.0 million and its adjusted EBITDA rose 45.9% to $458.2 million. Sea also said it has almost finished its $1.0 billion buyback, having bought 11.1 million shares for $997.2 million, and its board approved another $1.0 billion.
Sea’s Other Services operating loss rose to $90.4 million in the third quarter of 2026, 3.3 times the $27.0 million of a year earlier, while that unit’s revenue stayed between $44 million and $51 million a quarter. Source: Sea Limited quarterly results releases, segment tables; the multiple is our arithmetic.
Where the Loss Grew
Other Services is a reporting line, not a named business: Sea describes it as “a combination of multiple business activities that do not meet the quantitative threshold to qualify as reportable segments”. Its cost of revenue rose 376.9% to $46.5 million, from $9.7 million, while its revenue barely moved.
The loss has grown for most of the year. Other Services lost $32.3 million in the first quarter and $51.5 million in the second, on revenue of $45.5 million and $50.8 million. Its adjusted EBITDA loss was $83.9 million in the third quarter, against $25.1 million a year earlier.
By our arithmetic, operating income at Shopee, Monee and Garena together rose $229.0 million, to $897.1 million from $668.1 million. The Other Services loss widened by $63.3 million, equal to about 28% of that gain. Group operating income rose 39.5% to $664.2 million.
Sea Cloud and the AI Wording
In its prepared remarks, Sea said Sea Cloud will bring the AI capabilities it built for its own businesses to other organisations. “We see this as an opportunity to turn our AI capabilities, today a cost centre for Sea, into a profit centre”, the remarks say.
Sea said it is setting up Sea Cloud “as a frugal start-up” and will “mainly look to partners and customer prepayments to fund the physical infrastructure”. It added: “we do not expect Sea Cloud to have a significant impact on our financials for now”.
Forrest Li first named Sea Cloud in a 20 October letter to staff, filed with the SEC, saying “around 500 Sailors have been rebuilding that platform” over two years. The third-quarter release also adds a new risk, “risks associated with new business initiatives, including our artificial intelligence, cloud, and infrastructure initiatives”, which is not in the second-quarter release.
On Shopee, Sea said sellers “are responding well to the greater value they see in our AI-driven ad solutions”. Ad revenue grew more than 55%, and the ad take rate rose by over 80 basis points. Shopee is also an early connector partner for Meta’s Muse AI assistant, the subject of our piece Muse vs ChatGPT.
The Structural Read
As we read the release, Sea does not tie the Other Services loss to AI or to Sea Cloud; it reports the line as a group of businesses too small to be segments. The new risk wording on its artificial intelligence, cloud and infrastructure initiatives is absent from the second-quarter release.
As we read the prepared remarks, Sea is describing a shift in who pays: AI work it already funds for Shopee, Monee and Garena would also serve outside customers, with partners and customer prepayments funding the physical infrastructure.
Sea Limited, Q3 2026 earnings prepared remarks, 10 November 2026
“By serving external customers on top of that existing base, we can spread our fixed costs across more users and earn attractive incremental returns on capital”
Three Implications
FOR SHOPEE Sea says ad revenue grew more than 55% and the ad take rate rose by over 80 basis points, with sellers responding to its AI-driven ad tools.
FOR MONEE Revenue rose 63.9% but adjusted EBITDA rose 15.5%, as group provision for credit losses rose 82.3% to $681.5 million.
FOR SEA CLOUD Sea says it does not expect Sea Cloud to have a significant impact on its financials for now and will update investors on meaningful developments.
The framework says of the token: “It is simultaneously the unit of cognition the model produces, the unit of compute the data center serves, the unit of price the lab charges, and the unit of value the enterprise extracts.”
As we read it, Sea’s pitch for Sea Cloud sits on the last of those roles: it says the cost of tokens is falling and that the value lies in helping organisations put AI to work. The framework predates these results and does not discuss Sea.
What Is Not Established
Sea does not say which businesses sit in Other Services, whether Sea Cloud or its AI work is booked there, or how much it spends on AI or computing across the group. The 28% share is our arithmetic on segment operating income. The conference call Q&A and the share-price reaction were not reviewed for this piece.
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This week’s issue: for two years the AI build-out was priced as a supply story, and last week as a credit story. This week it was priced as a permission story, and the answer arrived as a cost, not a ban.
Sea’s Other Services operating loss rose to $90.4 million from $27.0 million, offsetting about 28% of the gain at Shopee, Monee and Garena, by our arithmetic. Sea calls its AI work a cost centre today and says Sea Cloud aims to make it a profit centre.
A note on sourcing. Results and segment figures are from Sea Limited’s third-quarter 2026 results release and deck of 10 November 2026 and its earlier quarterly releases; quotations are from Sea’s prepared remarks of the same day and its 20 October Form 6-K. Consensus estimates are as posted by Wall St Engine. Sums and shares not stated by Sea are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
