Intuit in the AI stack

The business and what the filings show

Intuit makes TurboTax, Credit Karma, QuickBooks and Mailchimp, software that consumers and small businesses use to file taxes, manage credit, keep their books and market themselves. Over its latest four quarters it reported $21.4B of revenue, +14% on the year before, with a 27% operating margin and $8.7B of free cash flow, 40% of revenue. Its revenue is seasonal: the quarter that includes the US tax deadline is by far its largest, so year-on-year comparisons say more than quarter-to-quarter ones.

Intuit reports its cost of revenue in its own XBRL categories rather than the standard line, so this map does not compute a gross margin for it, and it does not tag a total of remaining performance obligations. Its 10-K describes its AI strategy plainly: a “virtual team of AI agents and AI-enabled human experts” delivering “done-for-you experiences”, and in fiscal 2026 it says it scaled a set of AI agents that change how businesses run.

Intuit holds something most application companies do not: years of financial data on the consumers and small businesses that use its products, much of it entered as a by-product of filing taxes or keeping books. That is the kind of proprietary data the book argues gives an AI application a defensible edge. The open question is whether AI agents turn that edge into higher prices and new services, or whether AI assistants elsewhere make tax preparation and bookkeeping easier to do without Intuit.

How AI shows up in the numbers

AI shows up at Intuit as agents and assistants inside TurboTax, QuickBooks and Credit Karma, and in the mix of automated and expert-assisted services it sells. Because Intuit does not separate AI revenue, the read is growth in its larger products and operating margin: if AI lets it serve more customers with the same number of experts, margin should rise as revenue grows.

For scale, Intuit’s revenue over the latest four quarters equals 4% of the $566B the five largest buyers spent on capital projects over their latest four quarters. Their capex rose +81% on the year before, while Intuit’s revenue grew +14%: slower than the spending, so it is capturing a smaller share of each new capex dollar, or more of its business sits outside the build-out.

How it talks about AI

In its latest earnings release, furnished to the SEC on August 25, 2026, Intuit mentioned AI 1 times in 1,060 words of narrative text, about 0.9 mentions per 1,000 words. Of its 1 sentences about AI, 0 included a number: a revenue figure, a growth rate, a customer count or another measurable result. Across the 8 releases we read, back to November 21, 2024, AI mentions per 1,000 words went from 3.4 to 0.9.

Specific claims are easier to check against the numbers than general enthusiasm, which is why the share of AI sentences that carry a figure is worth watching alongside how often AI is mentioned. The sentences below are quoted from the release as published, after removing safe-harbor text and company boilerplate.

• “Our strategy is to win as an AI-driven expert platform by creating a financial system of intelligence that increasingly does the work for consumers, businesses, and accountants and helps them accomplish the outcomes that matter most.”

Source: earnings release (Form 8-K, Exhibit 99.1), August 25, 2026.

The trend in the numbers

Since the start of 2023, Intuit’s largest quarter by revenue was Q1 2026 at $8.6B. The latest quarter was below that peak.

Quarter by quarter, Intuit’s revenue grew +18% in Q3 2025, +17% in Q4 2025, +10% in Q1 2026, +14% in Q2 2026 on the same quarter a year earlier. Growth has been slowing, though from a high base.

Operating margin moved from 9% to 11% over the same span. Over the latest four quarters it turned 41% of its revenue into operating cash flow and spent 1% of revenue on capital projects, against 0% a year earlier.

Where it sits in the stack

Intuit sits in the software and applications layer of the AI stack. It sits at the top of the stack, where revenue from end customers has to come from; its own spending flows to AI clouds.

Among the 27 companies in this layer on our map, it ranks number 3 by revenue and number 19 of 27 by revenue growth. The full layer analysis is on the software page.

Latest four quarters for 10-Q filers; latest fiscal year for 20-F filers. Companies under $100 million of revenue are left out.

Against the 27 US-listed companies in its layer, Intuit grew +14% over the latest year versus +19% for the layer combined, and converted 40% of revenue into free cash flow versus 33% for the layer. It is growing more slowly than its layer, so its share of the layer’s revenue is shrinking.

What has to go right, and what could go wrong

What has to go right. Intuit’s data has to make its agents meaningfully better than general-purpose assistants at taxes and bookkeeping, so customers pay more for done-for-you services instead of doing the work elsewhere.

What could go wrong. If general-purpose AI assistants can prepare returns or keep books well enough, the value of Intuit’s software and its pricing power could erode, with the cost of running its own agents still on its income statement.

These describe the conditions the business depends on, as the filings show them. They are not a view on the stock.

Through the lens of Investing in AI

Rob May’s book offers six mental models for telling AI moats from traps. The one most useful for Intuit’s layer is “AI challenges traditional SaaS assumptions”: Per-seat pricing, zero marginal cost, smooth ARR curves, and automatic land-and-expand break down when software does work on your behalf. The mistake is not using SaaS instincts. It is using them automatically.

The question it asks of any company is: What work is this product actually doing, and how does pricing map to it? Applied to Intuit, the filings on this page are the place to start: the margin trend shows whether it holds scarce value or passes it through, the customer and financing disclosures show who it depends on, and the commitments show what it has promised before the revenue arrives.

Customers and concentration

US companies must disclose any customer that accounts for 10% or more of revenue, and foreign filers usually describe their largest customers. Concentration matters because a company’s growth is only as durable as the handful of buyers behind it, and in the AI stack those buyers are often the same few companies.

• “No customer accounted for 10% or more of total net revenue for the twelve months ended July 31, 2026, 2025, o” 10-K, September 9, 2026

Commitments and backlog

• Backlog. Intuit doesn’t report a comparable total of remaining performance obligations in its XBRL data.
• Purchase commitments. $4.9B of unconditional purchase obligations as of July 31, 2026 (10-K): what it has contracted to buy from its own suppliers.

What to watch

Intuit’s next quarterly report will cover the quarter ending around October 30, 2026. Large companies must file a 10-Q within 40 days of a quarter’s end and a 10-K within 60 days of the fiscal year’s end, so the new figures should arrive by about December 29, 2026 at the latest. This page, the layer pages and the next quarterly report all update from that filing.

• Year-on-year growth in the quarter that includes the tax deadline, which carries most of the consumer business.
• Operating margin: AI agents should let Intuit serve more customers without a matching rise in costs.
• How often its earnings releases put a number on AI results, against how often they mention AI at all.
• Its place in the next quarterly AI Stack Report, which updates every company on the map from the new filings.

Figures from Intuit’s SEC filings, latest period ended July 31, 2026. Other companies: all company pages.