Datadog stock faces higher Q3 bar after Evercore target hike
π Evercore ISI raised its price target for Datadog to USD 300 and maintained an Outperform rating ahead of the November 4 earnings report.
π° The analyst firm forecasts Q3 revenue of USD 1.19 billion, exceeding both its own estimate and the Street consensus of USD 1.146 billion.
π€ Business momentum is supported by strong tracking with large partners and customers, including those with practices over USD 10 million.
π Market share gains are evident as customers continue to consolidate their observability stacks from competitors like Dynatrace, New Relic, and Splunk.
π€ AI observability products, specifically Bits AI and the MCP server, are appearing in an increasing number of customer deals.
πΌ A strategic shift is occurring where AI spending is transitioning from pilot projects into core corporate budgets.
β οΈ Evercore expects headline growth to decline sequentially by about one percentage point due to lower usage from Datadog's largest customer.
π Some large AI-native companies are moving logs and LLM evaluations to lower-cost technology stacks, posing a potential headwind.
ποΈ Investors will focus on revenue delivery, customer usage metrics, and the full-year outlook when results are released before US markets open.
- Evercore ISI raised its price target to USD 300 and retained an Outperform rating ahead of the Q3 earnings report.
- The analyst firm expects Q3 revenue of USD 1.19 billion, which is above both its own estimate and the Street consensus.
- Strong business momentum is being driven by positive discussions with large partners and customers regarding platform adoption.
- Clients with practices exceeding USD 10 million and multimillion-dollar spenders are tracking at or above plan during the quarter.
- The company is benefiting from industry consolidation as customers migrate observability workloads from competitors like Dynatrace, New Relic, and Splunk.
- AI observability solutions, including Bits AI and the MCP server, are gaining traction in new customer deals.
- A shift in spending patterns is occurring where AI initiatives are moving from pilot projects into core budgets, supporting demand for monitoring products.
- Evercore expects headline growth to decline sequentially by approximately one percentage point as lower usage from the company's largest customer takes effect.
- Some large AI-native companies are shifting logs and large-language-model evaluations to lower-cost technology stacks, which could impact revenue.