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What GoDaddy's latest 10-Q says: 5 signals

GoDaddy filed its latest 10-Q with the SEC on Jul 30, 2026. It discusses automation investment, compliance burden and data investment.

Public (GDDY)Accounting10,000+ employeesgodaddy.comLinkedIn

Filed
Jul 30, 2026
Filings
2
Signals
10

10-Q · latest 9

What GoDaddy's 10-Q filings say

  1. 10-Q

    Filed · 5 signals

    SEC EDGAR
  2. 10-Q

    Filed · 5 signals

    SEC EDGAR

Showing 9 of 10 filing signals. The Signal API returns all of them.

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Earnings calls

GoDaddy earnings headlines

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

Earnings call headlines
Call dateWhat the company said
Executing major AI transformation from Generative to Agentic AI platforms.The company is undergoing a fundamental transformation centered on AI, evolving its Airo platform to an 'Agentic AI' model and launching a new site, Airo.ai, for rapid agent testing. This signals significant, ongoing budget and resource allocation for AI development, infrastructure, and tooling.
Launching 'Agent Name Service' (ANS) and seeking partners for new ecosystem.GoDaddy is pioneering a new open standard called Agent Name Service (ANS) built on DNS to provide verifiable identities for AI agents. They are actively inviting partners to join this new ecosystem, creating a prime opportunity for companies in identity verification, security, and AI agent technology to engage.
Applications & Commerce (A&C) bookings growth accelerated to 14%.The high-margin A&C segment, a key strategic area, is showing accelerating growth. This success fuels further investment in the platforms and technologies that support commerce, payments, and subscription solutions.
Funding AI innovation by driving internal efficiencies with a 33% EBITDA margin target.The CFO confirmed a strategy of reinvesting efficiency gains from operations (care, engineering) into new AI initiatives. This indicates a sustainable, self-funded budget for innovation and a receptive audience for tools that improve operational leverage.
Acknowledges gross margin pressure from AI investments and product mix.The CFO explicitly stated that profitability is being partially offset by gross margin pressure due to AI investments and product mix shifts. This financial pain point makes the company receptive to solutions that can improve margins, provide more cost-effective infrastructure, or optimize AI-related spending.
High-value customer cohort ($500+) grew to 10% of total customer base.GoDaddy is successfully growing its cohort of high-spending customers, who have 'near perfect retention'. This strategic focus on customer lifetime value (LTV) creates a need for sophisticated CRM, customer data platforms, and analytics tools to identify and nurture these valuable accounts.

Signal API · MCP

Track GoDaddy with the Signal API

One POST /v1/companies/enrich call with godaddy.com returns GoDaddy 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":"godaddy.com","signal_types":["sec-10q"],"limit":20}'

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Questions about GoDaddy 10-Q

When did GoDaddy file its latest 10-Q?
GoDaddy filed its latest 10-Q on Jul 30, 2026. The one before it was filed on Apr 30, 2026.
What did GoDaddy disclose in its latest 10-Q?
From the filing dated Jul 30, 2026: GoDaddy highlights past material weakness, signaling need for robust financial control systems.
What did GoDaddy say on its recent earnings calls?
Q3 FY2025: Executing major AI transformation from Generative to Agentic AI platforms. (dated Oct 30, 2025).
Where can I read GoDaddy's 10-Q filing?
The full filing is on SEC EDGAR: https://www.sec.gov/Archives/edgar/data/1609711/000160971126000088/gddy-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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