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What Datadog's latest 10-Q says: 6 signals

Datadog filed its latest 10-Q with the SEC on Aug 6, 2026. It discusses acquisition completed, automation investment and capex increase.

Public (DDOG)Software Development10,000+ employeesdatadoghq.comLinkedIn

10-Q · latest 10

What Datadog's 10-Q filings say

  1. 10-Q

    Filed · 6 signals

    SEC EDGAR
  2. 10-Q

    Filed · 6 signals

    SEC EDGAR

Showing 10 of 12 filing signals. The Signal API returns all of them.

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Earnings calls

Datadog earnings headlines

From earnings call transcripts (Signal API type earnings-transcripts).

Earnings call headlines
Call dateWhat the company said
Executing an ambitious AI roadmap with heavy investment in new AI agents.Datadog is heavily investing in its AI product suite, including Bits AI agents and LLM Observability, with thousands of customers already in preview. This deep R&D focus indicates significant budget for AI talent, research, and infrastructure to build out next-generation capabilities.
Raised full-year revenue guidance to over $3.38B, expecting 26% growth.The company significantly increased its full-year 2025 revenue forecast, indicating strong business momentum and financial health. This confidence suggests available budget for strategic investments in technology and talent to support and sustain this high growth.
Executing on hiring plan, increasing sales capacity and go-to-market investments.The company is actively investing in growing its workforce, particularly in sales and go-to-market functions, to capture market opportunities. This expansion signals budget allocation for talent and the operational infrastructure needed to support a larger, more sophisticated sales organization.
Security business accelerating with ARR growth jumping to mid-50s YoY.Datadog's security business is a major focus and growth driver, with ARR growth accelerating from the mid-40s to the mid-50s percent year-over-year. This signals significant investment and market traction in their security suite, particularly Cloud SIEM, creating partnership and competitive opportunities.
Customer adopting cloud cost management tools to improve cost visibility and governance.A Fortune 500 heavy equipment company is actively using cloud cost management solutions to gain better visibility and control over their spending. This indicates that cloud cost optimization is a key priority and a significant pain point for large enterprises.
Cloud migration and digital transformation remain core long-term growth drivers.The CEO reaffirmed that cloud migration is a fundamental, long-term driver of the business. This indicates that Datadog's own strategy and budget are heavily aligned with continued investment in cloud technologies and infrastructure to serve their customers' transformation journeys.

Signal API · MCP

Track Datadog with the Signal API

One POST /v1/companies/enrich call with datadoghq.com returns Datadog 10-Q signals (sec-10q), each with its source. Or ask Claude through MCP.

2 credits per signal returned; zero-result calls are free. Endpoint reference

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"datadoghq.com","signal_types":["sec-10q"],"limit":20}'

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Questions about Datadog 10-Q

When did Datadog file its latest 10-Q?
Datadog filed its latest 10-Q on Aug 6, 2026. The one before it was filed on May 7, 2026.
What did Datadog disclose in its latest 10-Q?
From the filing dated Aug 6, 2026: Datadog used nearly 800k shares for acquisitions in H1 2026
What did Datadog say on its recent earnings calls?
Q3 FY2025: Executing an ambitious AI roadmap with heavy investment in new AI agents. (dated Nov 6, 2025).
Where can I read Datadog's 10-Q filing?
The full filing is on SEC EDGAR: https://www.sec.gov/Archives/edgar/data/1561550/000162828026054458/ddog-20260630.htm. This page summarizes what the filing says and links to it.

Source. Quarterly reports (Form 10-Q) filed with the SEC. Every card links to the filing on EDGAR.

Method. Insights are extracted from the filing text and grouped by category. Numbers are quoted from the filing.

Data as of .

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