Datadog shares dropped about 20% in premarket trading Thursday even after the cloud software company reported second-quarter results above Wall Street estimates and increased its full-year 2026 financial outlook.
The sharp move placed Datadog Inc. (NASDAQ: DDOG) among the session’s biggest technology-stock decliners. Rather than reacting to an earnings miss, investors appeared to be reassessing whether the company’s expected growth was strong enough to support the valuation reached before the report.
Datadog generated second-quarter revenue of $1.121 billion, an increase of 36% from $826.76 million a year earlier. Analysts had expected revenue of approximately $1.08 billion before the announcement.
Non-GAAP earnings reached $0.65 per diluted share, compared with $0.46 in the year-earlier quarter and the consensus forecast of about $0.58. That represented year-over-year adjusted earnings growth of roughly 41%.
Datadog Q2 earnings beat Wall Street estimates
The quarter showed strength across revenue, profit and cash generation. Datadog reported non-GAAP operating income of $257 million and a non-GAAP operating margin of 23%.
Operating cash flow reached $316 million, while free cash flow totaled $279 million. The company ended June with approximately $5 billion in cash, cash equivalents and marketable securities, giving it substantial financial flexibility for product development and acquisitions.
Q2 revenue: $1.121 billion, up 36% year over year
Non-GAAP EPS: $0.65, compared with $0.46 a year earlier
Operating cash flow: $316 million
Free cash flow: $279 million
$100,000-plus ARR customers: Approximately 4,720
Datadog’s large-customer base continued to expand. The company had approximately 4,720 customers generating annual recurring revenue of at least $100,000 as of June 30, up 23% from about 3,850 customers at the same point in 2025.
Chief Executive Olivier Pomel said customers are building and deploying applications with artificial intelligence while using Datadog to observe, secure and act on their AI-enabled systems. The comment reflects the company’s effort to position its platform as essential infrastructure for increasingly complex cloud and AI environments.
Why DDOG stock dropped despite strong results
The selloff suggests that Datadog cleared Wall Street’s published estimates but did not exceed the higher expectations held by some investors. DDOG had performed strongly before the earnings release as the market rewarded companies connected to cloud computing, cybersecurity and artificial intelligence spending.
That setup made the shares vulnerable to an expectations reset. When a growth stock carries a premium valuation, investors often focus on the pace of future expansion rather than the quarter that has already ended. Even guidance above consensus can produce a negative reaction when traders had positioned for a larger forecast increase.
The contrast with Datadog’s previous report is notable. Earlier in 2026, the stock gained sharply after an earnings update reassured the market about demand, as detailed in this analysis of Datadog’s earlier post-earnings stock rally. Thursday’s response shows how quickly the standard for a satisfactory result can change after a major share-price advance.
The company’s third-quarter forecast may have contributed to the concern. Datadog expects revenue of $1.135 billion to $1.145 billion, above the consensus estimate of approximately $1.11 billion. However, the midpoint implies a slower year-over-year growth rate than the 36% recorded in Q2.
Third-quarter non-GAAP earnings are expected to range from $0.63 to $0.65 per share, compared with an analyst estimate of about $0.61. Non-GAAP operating income is projected to be between $260 million and $270 million.
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Full-year 2026 revenue and earnings guidance increased
Datadog raised its full-year revenue forecast to between $4.45 billion and $4.47 billion. Its previous outlook called for revenue of $4.30 billion to $4.34 billion, while Wall Street’s consensus estimate was approximately $4.35 billion.
The company increased its non-GAAP earnings forecast to $2.50 to $2.54 per share from the earlier range of $2.36 to $2.44. The midpoint of the new outlook, $2.52, is above the consensus estimate of approximately $2.42.
Full-year non-GAAP operating income is now expected to reach between $1.01 billion and $1.03 billion. Investors can examine the figures, accounting reconciliations and forward-looking risk disclosures in Datadog’s official second-quarter financial results.
The higher guidance confirms that management expects stronger 2026 performance than it projected earlier. The market reaction indicates that the debate is no longer about whether Datadog is growing, but whether its growth can remain sufficiently fast to justify the expectations built into DDOG stock.
AI products and Adaptive ML strengthen the growth strategy
Datadog highlighted the general availability of AI-powered products including Bits Code, Bits Chat and Bits Agent Builder. These tools are designed to help software teams investigate technical problems, work with operational data and automate responses across development and production environments.
The company has also introduced AI Guard and Bring Your Own Cloud capabilities as it expands beyond traditional infrastructure monitoring. The strategy is to provide an integrated platform that can monitor applications, protect cloud environments and help teams manage AI workloads from a common system.
Datadog announced the acquisition of Adaptive ML on June 30. Adaptive ML develops technology that enables businesses to customize generative AI models using feedback and operational information. The acquisition could help Datadog create more specialized AI tools, although the financial impact will depend on customer adoption and successful integration.
Demand for enterprise AI infrastructure has become an important driver across the cloud software industry. Snowflake recently demonstrated how quickly investors can reward accelerating cloud consumption and stronger guidance, with its results examined in this report on Snowflake’s earnings, AI demand and expanded AWS agreement. Datadog faces the same challenge of converting growing AI interest into durable usage, recurring revenue and improved margins.
Analyst targets were raised before the earnings report
Several Wall Street firms increased their Datadog price targets shortly before the Q2 announcement. Cantor Fitzgerald raised its target to $327, DA Davidson moved to $315, BMO Capital set a $310 target, Rosenblatt increased its target to $305, Citigroup moved to $300 and Canaccord Genuity raised its target to $295.
Morgan Stanley maintained an Overweight rating with a lower $230 target. These targets were published before Thursday’s earnings release and should not be viewed as updated assessments of the post-earnings selloff. Analysts may revise their forecasts after reviewing management’s commentary and the expected moderation in quarterly revenue growth.
What investors should monitor after the 20% selloff
Future customer growth will be one of the clearest measures of business momentum. Datadog must continue adding large accounts while encouraging existing customers to adopt more security, monitoring and AI products.
Investors will also watch whether revenue growth remains above 30%, whether free cash flow stays strong and whether new AI services create meaningful paid usage. Competitive pressure, slower enterprise technology budgets and changes in cloud consumption remain significant risks.
The Q2 figures do not indicate a sudden deterioration in Datadog’s underlying business. Revenue, adjusted earnings, cash flow and large-customer numbers all improved. The stock’s decline instead reflects a market recalibration after expectations moved ahead of the company’s near-term growth forecast.
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