Amazon’s long-term contract backlog, which its filings say is primarily related to AWS, was approximately $578 billion at 30 September 2026, according to Amazon’s third-quarter 2026 Form 10-Q. By our arithmetic that is 3.6 times AWS net sales over the trailing twelve months, against 1.6 times two years earlier.
The same backlog measure was approximately $496 billion at 30 June 2026 and approximately $164 billion at 30 September 2024, the earlier 10-Qs show, so it rose 16.5% in the quarter and about 3.5 times in two years, also our arithmetic.
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The key insight: Amazon’s Q3 2026 10-Q puts long-term contract commitments, primarily related to AWS, at approximately $578 billion, up from approximately $496 billion at 30 June, with a weighted-average remaining life of 6.1 years. By our arithmetic that is 3.6 times trailing-twelve-month AWS net sales of $161.4 billion, against 1.6 times two years earlier.
Amazon’s Q3 2026 10-Q says that for contracts with original terms that exceed one year, “those commitments not yet recognized were estimated to be approximately $ 578 billion as of September 30, 2026”, and that “The weighted-average remaining life of our long-term contracts is 6.1 years”.
The Q2 2026 10-Q gave approximately $496 billion and a weighted-average remaining life of 6.4 years. The Q3 2024 10-Q gave approximately $164 billion and 3.9 years.
The 10-Q’s revenue table shows AWS net sales of $45,984 million in the third quarter of 2026, against $33,006 million a year earlier, a 39.3% rise. In Amazon’s earnings remarks, Andy Jassy said “Backlog is $578 billion, growing triple digits year over year, and well diversified”.
Amazon long-term contract commitments (primarily AWS) as a multiple of trailing-twelve-month AWS net sales, 30 September 2024 and 30 September 2026, from Amazon Form 10-Qs and 10-Ks. The 1.6x and 3.6x multiples are our arithmetic.
What Was Posted on X
AWS backlog hit $578B in Q3, up 16.5% in the quarter, and now covers 3.6x trailing AWSrevenue, against 1.5x two years ago. Average contract life held at 6.1 years, just under the 6.4 year peak from last Q, so the book stayed long and pulled further ahead even as AWSrevenue grew 39%. $AMZN
A post by @capexandchill on 8 November that drew attention to the figures: AWS backlog of $578B in Q3, up 16.5% in the quarter, 3.6x trailing AWSrevenue against 1.5x two years ago, and an average contract life of 6.1 years. The $578B, 16.5% and 6.1-year figures match Amazon’s 10-Qs; our own calculation from the filings gives 1.6x for two years earlier rather than the post’s 1.5x.
How We Computed the Multiple
Trailing-twelve-month AWS net sales at 30 September 2026 are $161.4 billion: $125,803 million for the first nine months of 2026, plus the fourth quarter of 2025, which is the 2025 full-year AWS total of $128,725 million in the 2025 10-K minus $93,146 million for the first nine months of 2025. The backlog of $578 billion divided by $161.4 billion is 3.58 times.
Two years earlier, the same method gives $103.0 billion of trailing AWS sales, using the 2023 full-year AWS total of $90,757 million, and $164 billion divided by $103.0 billion is 1.59 times. A social-media post by @capexandchill that drew attention to the figures gave the earlier multiple as 1.5 times; our calculation from the filings gives 1.6 times.
As we read the filings, the backlog grew faster than the business it feeds: about 3.5 times in two years, while trailing AWS net sales rose from $103.0 billion to $161.4 billion, by our arithmetic.
As we read the contract-life figures, the book stayed long: the weighted-average remaining life was 3.9 years at September 2024, 6.4 years at June 2026 and 6.1 years at September 2026, the 10-Qs say.
As we read Amazon’s own description, timing is not fixed: the 10-Q says revenue recognition will be driven by customer usage, so the multiple measures signed commitments, not scheduled sales.
“Backlog is $578 billion, growing triple digits year over year, and well diversified.”
Three Implications
FOR THE DEMAND DEBATE The filings show signed commitments of approximately $578 billion that Amazon says it expects to fulfill, alongside AWS net sales up 39.3% in the third quarter.
FOR CONCENTRATION The 10-Q does not split the backlog by customer, so it does not show how much comes from any single AI lab.
FOR TIMINGAmazon says the amount and timing of revenue recognition will be driven by customer usage and its performance under the contracts.
The analysis says: “The $1T capex cycle is being underwritten by a $1T concentrated demand commitment from two counterparties whose combined free cash flow is deeply negative.”
As we read it, Amazon’s filings do not split the $578 billion by customer, so they cannot show whether AWS’s backlog carries that concentration. The analysis does not discuss Amazon’s Q3 2026 10-Q.
What Is Not Established
The filings we read do not split the backlog by customer, so they do not say how much of it comes from AI labs or from any single customer. Amazon says the amount and timing of revenue recognition will be driven by customer usage. The trailing-sales multiple is our calculation, not an Amazon metric.
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Amazon’s Q3 2026 10-Q puts long-term contract commitments, primarily related to AWS, at approximately $578 billion, up from approximately $496 billion three months earlier, with a weighted-average remaining life of 6.1 years. By our arithmetic, that backlog is 3.6 times trailing-twelve-month AWS net sales, against 1.6 times two years earlier.
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A note on sourcing. Figures are from Amazon’s Form 10-Q filings for Q3 2026, Q2 2026 and Q3 2024, its 2025 and 2023 Form 10-K revenue tables, and Amazon’s Q3 2026 earnings remarks, read on 9 November 2026. We did not contact Amazon. The trailing-sales multiples (3.6 and 1.6 times) and percentage changes 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.
