Will Amazon's revenue grow at least 15.5% in Q3 2026 versus Q3 2025?
How it settles
Compare revenue from Amazon's 10-Q or 10-K for the quarter ended September 30, 2026 with the quarter ended September 30, 2025 on SEC EDGAR. Yes if growth is 15.5 percent or more, no if below. SEC EDGAR, XBRL company facts of Amazon (Forms 10-Q and 10-K)
The exact question and the full rule
Did the revenue of Amazon for the quarter ended September 30, 2026 grow at or above 15.5% from the quarter ended September 30, 2025?
Compare the revenue that Amazon reports for the quarter ended September 30, 2026 with the quarter ended September 30, 2025, in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if growth is at or above 15.5%; no if it is below 15.5%.
If the source is late or silent: If Amazon has not filed by November 16, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
If no
The case against it
No, expects growth to slow toward analyst estimates near 12.2%, landing below 15.5%.
If yes
Cost per token falls faster than price
Yes, expects growth to stay close to the roughly 20% pace seen in the prior quarter, well above analyst estimates.
50%
NoYes
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The trail · since Oct 22
the Call 30, recorded Oct 22machines 2 runsreaders show from 5
The case · 5 people · 2 minutes
The case against it3 people argue noCost per token falls faster than price2 people argue yes
Traditional SaaS had nearly zero marginal costs so the customer J-curve bent upward automatically. AI inverts this: cost to serve scales with usage because every query triggers inference and agent runs consume tokens. As AI improves and token costs…
As inference costs decline through hardware improvements, software optimization, or volume leverage, a vendor can either cut prices or expand margins. Anthropic is expanding margins: compute spend per revenue dollar falling from 0.71 to 0.56 while…
What would change the Call
Amazon's reported revenue for the quarter ended September 30, 2026 compared with the same quarter in 2025 would move the call.
2 models ran this one. Their numbers and reasons appear after you lock yours.
The thesis
Will the median trailing gross margin of US-listed AI-native application software companies reporting AI inference as cost of revenue be at least 70% in their fiscal 2027 filings?
Cost-per-token declines and cohort maturation lift AI application gross margins back toward classic software levels (70%+) rather than leaving them structurally compressed by variable inference costs.