monday.com said on 9 November that its “AI products, including AI credits, agents and vibe, reached $36 million in AI ARR” in the third quarter, in its results release. That is 2.4% of a revenue run rate of about $1.51 billion, Q3 revenue times four, by our arithmetic.
Third-quarter revenue was $377.5 million, up 19% from a year earlier. For the fourth quarter, monday.com says it expects $380 million to $382 million, “representing year-over-year growth of approximately 14%”. A post on X by Wall St Engine puts the consensus estimate at $386 million.
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The key insight: monday.com reported $36 million of AI ARR for the third quarter, 2.4% of its revenue run rate by our arithmetic, and says it expects fourth-quarter revenuegrowth of about 14%, down from 19% in the third quarter.
The release defines AI ARR as “a component of ARR” made up of stand-alone AI products, “AI credit packages sold for a subscription term” and the share of subscription plans attributed to included AI credits. It excludes one-time purchases and overages. The company also says “monday agents passed 6 million interactions in less than two quarters”.
The co-chief executives, Roy Mann and Eran Zinman, said: “Our business is undergoing a fundamental evolution, and we took significant steps this quarter to become an AI-first company.” They added that “an initiative of this scope introduces near-term operational headwinds”.
Larger accounts grew faster than the base, according to the release. Customers paying more than $100,000 in ARR rose 33% to 2,127, and those above $500,000 rose 58% to 123. Net dollar retention was 108%. The largest customer deployment grew to more than 87,000 seats.
Non-GAAP operating income was $89.4 million, a 24% margin against 15% a year earlier. The quarter included a $10.0 million restructuring charge under the company’s 2026 Restructuring Plan.
AI ARR and revenue are from monday.com’s Q3 2026 release (9 Nov). The run rate (Q3 revenue times four) and the 2.4% share are our arithmetic; the run rate is not the company’s total ARR.
Other Q3 Metrics: 🔹 Adjusted FCF: $63.0M; -32% YoY
Capital Return: 🔹 Repurchases: $735.0M through nine months
Comments: 🔸 “Our business is undergoing a fundamental evolution, and we took significant steps this quarter to become an AI-first company. While we remain highly confident in this strategic path, an initiative of this scope introduces near-term operational headwinds, and we are committed to executing with discipline as we work through them.”
🔸 “Revenue grew 19% year-over-year to $377.5 million, and we delivered record non-GAAP operating income and operating margin. We are investing in enterprise go-to-market, product and AI, and our outlook reflects that balance.”
Wall St Engine’s post at 12:00 UTC on 9 November summarises monday.com’s third-quarter results against analyst estimates, including “AI ARR: $36M; 6M agent interactions” and a fourth-quarter revenue guide of $380M-$382M against an estimate of $386M. The piece takes the consensus figure from this post.
The Guidance Gap
The fourth-quarter midpoint of $381 million is 0.9% above third-quarter revenue, and $5 million or 1.3% below the consensus figure in the Wall St Engine post, both by our arithmetic. The full-year guide is $1,473 million to $1,475 million, about 20% growth, the company says.
monday.com guides a fourth-quarter non-GAAP operating margin of about 18%, against 24% in the third quarter, assuming a negative currency impact of 100 to 200 basis points. Chief financial officer Eliran Glazer said: “We are investing in enterprise go-to-market, product and AI, and our outlook reflects that balance.”
As we read the release, AI revenue is still small next to the core subscriptionbusiness: $36 million of AI ARR against about $1.51 billion of run-rate revenue, our arithmetic.
As we read it, larger accounts carry more of the business: customers above $100,000 of ARR are 31% of ARR, up from 27% a year earlier, per the release.
Roy Mann and Eran Zinman, co-CEOs, monday.com
“Our third quarter showed both the strength of our foundation and the work ahead.”
Three Implications
FOR MONDAY.COM HOLDERS The fourth-quarter revenue midpoint of $381 million is 1.3% below the $386 million consensus cited by Wall St Engine, by our arithmetic.
FOR AI PRICING monday.com counts AI credits included in subscription plans in AI ARR, allocated by list price, according to its definition.
FOR MARGINS The company guides a fourth-quarter non-GAAP operating margin of about 18%, against 24% in the third quarter.
The framework argues: “What emerges is a barbelled market structure where software companies must choose between racing to the commoditization floor or climbing to the embedding ceiling.”
As we read it, monday.com’s release points to its largest accounts: customers above $500,000 of ARR rose 58% to 123, and its largest deployment passed 87,000 seats. The framework predates these results and does not discuss monday.com.
What Is Not Established
The release gives AI ARR but not a company-wide ARR figure, so our 2.4% uses a revenue run rate, not ARR. It does not split the $36 million between credits, agents and vibe, or give a prior-quarter AI ARR figure. The consensus estimate is from the Wall St Engine post; we have not seen the underlying survey. The 8:30 a.m. ET call is not reflected here.
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monday.com reported $36 million of AI ARR in the third quarter, 2.4% of its revenue run rate by our arithmetic, while revenue grew 19%. The company guides fourth-quarter growth of about 14%, with a midpoint below the consensus figure Wall St Engine cites.
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A note on sourcing. Results, guidance and quotations are from monday.com’s third-quarter release of 9 November 2026. The consensus figure is from a post on X by Wall St Engine. The run rate, shares and gaps 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.
