Datadog’s stock jumps 31% on crushing earnings beat, showing there’s still hope for software
Datadog Inc. reported first-quarter earnings of 60 cents per share, exceeding Wall Street’s estimate of 51 cents, with revenue hitting $1 billion and net income doubling to $52.6 million. The company’s stock surged 31% in a single day, lifting broader software sector shares like Snowflake Inc. and MongoDB Inc., while Datadog also raised its full-year earnings and revenue guidance significantly.
Datadog Inc. delivered a standout financial performance in its first-quarter 2026 earnings report, prompting a 31% stock surge during regular trading. The company reported earnings before certain costs of 60 cents per share, surpassing the consensus estimate of 51 cents, while revenue grew 32% year-over-year to $1 billion—well above the $931.8 million analyst target. Net income more than doubled to $52.6 million from $24.6 million in the same period last year, marking a strong quarter. The results triggered a broader rally in software stocks, with Snowflake Inc. and MongoDB Inc. each rising over 10%, while Dynatrace Inc. and Elastic N.V. also climbed. Datadog’s guidance for the full year was revised upward, with earnings now expected between $2.36 and $2.44 per share (up from $2.08–$2.16) and revenue projected at $4.3 billion to $4.34 billion (up from $4.06–$4.1 billion). For the current quarter, the company forecast earnings of 57–59 cents on revenue of $1.07–$1.08 billion, exceeding Wall Street’s targets of 50 cents and $994.4 million, respectively. The stock had shown minimal movement in 2026 prior to the report but has since climbed over 38% year-to-date, positioning Datadog as a rare bright spot amid investor concerns over AI’s impact on software businesses. The company specializes in monitoring systems for AI chips, models, and agents, serving clients like OpenAI Group PBC and Amazon Web Services Inc. Its growth is tied to AI’s demand for robust infrastructure, as companies require tools to track cloud usage, application health, and security threats. CEO Oliver Pomel emphasized the company’s role in addressing AI-driven challenges, citing a Fortune 500 insurance firm that reduced outages and customer complaints after adopting Datadog’s observability tools. Pomel noted that AI agents require constant monitoring, reinforcing Datadog’s position as a key enabler of digital transformation and cloud migration. The company’s focus on AI-driven observability aligns with long-term secular growth trends, despite broader market uncertainties.
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