Datadog (DDOG.US) operating profit surges 61%, yet premarket shares plunge 20%! AI growth narrative meets harsh market expectations

Cloud monitoring and analytics software company Datadog (DDOG.US) saw its shares plunge as much as 20% in premarket trading on Wednesday after reporting results, with the decline hovering around 19% as of publication. Datadog delivered third-quarter results that beat consensus expectations on both revenue and earnings, yet the stock cratered premarket. Judging from the structure of the newly issued guidance, the market's disappointment centers on this: third-quarter growth was strong, but the full-year revenue forecast raise came almost entirely from revenue already beat, and the fourth quarter did not signal meaningfully stronger growth from the AI agent frenzy. Earnings data show Datadog's third-quarter revenue was $1.197 billion, up 35.2% year over year, about 4.5% above the roughly $1.146 billion analyst consensus per FactSet; adjusted earnings per share were $0.81, up 47.3% year over year, about 26.6% above the roughly $0.64 market expectation. However, before the report, Wall Street heavyweight TD Cowen had already expected revenue growth of about 35%, indicating that while actual results beat analyst consensus, they did not clearly exceed the more optimistic forecasts of some notably bullish institutions. What truly affected forward-looking market pricing was the fourth-quarter outlook: total revenue guidance of $1.19 billion to $1.20 billion, with the midpoint up about 25.4% year over year and roughly flat sequentially, slightly below the roughly $1.2 billion market expectation; adjusted EPS guidance of $0.69 to $0.71, still above the roughly $0.64 expectation. Full-year revenue guidance was raised to a range of $4.515 billion to $4.525 billion, and full-year adjusted EPS to $2.73 to $2.75. Based on the old and new guidance, the full-year revenue midpoint rose by $60 million, yet third-quarter revenue had already exceeded the midpoint of the original guidance by about $57.09 million, leaving only about $3 million of additional upward revision for the fourth quarterhighlighting market concerns that future growth may slow sharply: the surprise already delivered was large, but the incremental increase in future growth expectations is very limited. Large customers and multi-product sales underpin profit, but cash conversion still needs to catch up Datadog's report shows third-quarter adjusted operating profit reached $334 million, up 61.2% year over year, with operating margin rising from 23% to 28%; GAAP operating profit was $74.71 million, compared with a loss of $5.81 million a year earlier, a clear improvement in operating leverage. But a large gap remains between the two profit measures: third-quarter stock-based compensation was about $237 million. Operating cash flow was $290 million, and free cash flow was $251 million, up 17.1% year over year, while the free cash flow margin fell from 24% to 21%. This means profit expansion is outpacing cash growth, and profitability quality cannot be judged on adjusted margin alone. The growth base is mainly reflected in large-customer expansion and product penetration. Customers with annual recurring revenue of at least $100,000 reached 4,860, up about 20% year over year; the share of customers using at least four products rose from 54% to 61%, and at least six products from 31% to 41%. Dollar-based net retention remained in the low 120s, reflecting continued increased spending by existing customers; but total customers were 33,500, up only about 100 sequentially. The premarket plunge after the results also highlights, to some extent, that market participants are watching simultaneously whether existing-customer expansion can continue, whether new-customer acquisition can accelerate, and whether revenue growth can convert into higher cash returns. Wall Street's bullish logic remains focused on these operating metrics. Before the report, StoneX maintained a "Buy" rating and a $330 price target, listing Datadog as its top pick in infrastructure software, with focus on commercialization of AI products and expansion of the security business. However, this bullish view is a pre-earnings expectation and cannot yet be treated as institutions' latest response to this premarket selloff. The more complex the agents, the more valuable cloud monitoring becomes, but the AI tailwind still needs revenue validation Datadog sells cloud observability and security software, centralizing analysis of infrastructure metrics, logs, application traces and security signals. AI agents break a single request into multiple rounds of model inference, data retrieval and tool calls, and enterprises must identify where errors occur and control latency, cost and security risks. Thus, as AI applications enter production environments, monitoring demand expands. Agent Observability is billed by ingested model-call records, providing a direct monetization channel for growth in agent usage; notably, the company's revenue increment still depends on customer onboarding and paid usage and cannot be simply equated with growth in GPUs or inference tokens. Another path comes from Datadog's own AI products. The company disclosed on October 29 that paid customers for Bits AI have exceeded 10,000; the Scout 1.0 specialized model is used for production incident investigation, and the company hopes to enhance customer value by lowering inference costs and speeding up troubleshooting. The investment implication is that Datadog can both capture monitoring demand from customers' AI workloads and increase product revenue through automated operations. But this report did not separately disclose the AI revenue contribution, and the overall 35% growth cannot be entirely attributed to AI. Based on closing prices from October 28 to November 3, Datadog fell about 20.8%, while the Nasdaq 100 and the Philadelphia Semiconductor Index fell about 5.5% and 9.3%, respectively, over the same period, significantly underperforming both. The market recognizes the long-term space for AI monitoring demand but is still lowering the valuation it is willing to pay for future growth.