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DigitalOcean Holdings, 10-Q 제출: 분기 보고서(10-Q)

분기 보고서 — 최신 매출, 마진 및 가이던스.
공식 공시Slicast · 2026년 11월 3일 12:00 UTC · 미국 · 출처: SEC EDGAR · DOCN

Overview

DigitalOcean is an AI-Native Cloud, purpose-built for inference and agentic workloads, that brings infrastructure, core cloud services, inference, data, and agents together in one integrated stack that is open throughout, giving builders the best of the AI ecosystem in one place. The platform combines production-ready GPU infrastructure, a full-stack cloud, model-first inference workflows, and an agentic experience layer to reduce operational complexity and accelerate time to production. Our customers include growing technology companies across numerous industry verticals ranging from online gaming to fintech to cybersecurity, among many others, and leverage our platform for a wide variety of use cases, such as building and hosting websites, developing new web and mobile applications, integrating AI into their businesses, and building AI products and applications, among many others. We believe that being simple, scalable, and approachable, while offering a comprehensive range of integrated cloud and AI products, are our key differentiators, driving a broad range of customers around the world whose needs are not being fully met by larger cloud providers to build and grow their businesses on our platform.

We offer a comprehensive set of cloud platform capabilities which span across Infrastructure-as-a-Service (“IaaS”), including Droplet virtual machines, storage and networking offerings; Platform-as-a-Service (“PaaS”) and Software-as-a-Service (“SaaS”), including Managed Hosting, Managed Database, Managed Kubernetes and Marketplace offerings. We also offer a comprehensive artificial intelligence and machine learning (“AI/ML”) platform - DigitalOcean Gradient® AI Agentic Cloud, which includes Gradient AI Infrastructure with offerings such as GPU Droplets and Bare Metal GPUs; the Gradient AI Platform which offers various building block services including Large Language Models (“LLMs”); and Gradient AI Agents. We continue to invest in our platform to further penetrate the growing markets in which we operate.

We generate revenue primarily from the usage of our agentic inference cloud platform by our customers. We recognize revenue largely based on the customer utilization of our offerings. While our pricing is primarily consumption-based and the majority of our customers use our platform on a month-to-month basis, a growing number of customers are using our platform for larger workloads and some of these customers are opting to enter into committed contracts, committing to a minimum spend on our platform.

We serve a large number of customers that range in size from growing or scaled businesses that generate millions of dollars in revenue and serve millions of their own customers to individual developers testing or learning new technology for their own development. Thousands of new users come to DigitalOcean every month with some users intending only to utilize our platform for a discrete task, and other users are part of new or existing businesses that intend to operate their production and test workloads on our platform to support their business. Given the wide range of users and their associated spend, we classify customers based on their spend in a given month, which we have found to be a good proxy that distinguishes between casual users and substantial enterprise customers.

Our total customer count is represented by the number of Digital Native Enterprise (“DNE”) Customers, which are users that spend more than $500 in a month. We further disaggregate our DNE Customers into the following categories - $100K+ Customers, $500K+ Customers and $1M+ Customers. See further discussion in “Digital Native Enterprise Customers” below.

Growing our DNE Customers is a critical focus for us, and we have successfully increased the number of these customers and their percentage of our total revenue. Revenue from our DNE Customers as a percentage of total revenue was 69% in the three months ended September 30, 2026, up from approximately 60% in the three months ended September 30, 2025. As of September 30, 2026, we had approximately 22,000 DNE Customers using our platform to build, deploy and scale applications, an increase from approximately 21,000 as of September 30, 2025.

We had no material customer concentration as our top 25 customers made up approximately 27% and 11% of our revenue in the three months ended September 30, 2026 and 2025, respectively.

Our annual run-rate revenue (“ARR”) as of September 30, 2026 was $1,285 million, up from $919 million as of September 30, 2025. Our AI Customer ARR as of September 30, 2026 was $376 million, up from $97 million as of September 30, 2025. See further discussion in “ARR and AI Customer ARR” below.

We have a highly efficient self-service customer acquisition model, which we complement with a sales force focused on inside sales, targeted outside sales and partnership opportunities to drive revenue growth. The efficiency of our go-to-market model and our focus on the needs of growing technology enterprises have enabled us to drive organic growth and establish a truly global customer base across a broad range of industries. For the three months ended September 30, 2026 and 2025, our sales and marketing expense was approximately 8% and 9% of our revenue, respectively.

Our customers are spread across approximately 190 countries and around two-thirds of our revenue has historically come from customers located outside the United States. For the three months ended September 30, 2026, 49% of our revenue was generated from North America, 20% from Europe, 23% from Asia and 8% from the rest of the world.

Key Factors Affecting Our Performance

Increasing Usage by Our Existing Customers

Our existing customer base represents a significant opportunity for further sales expansion through increased usage of our platform and adoption of additional product offerings. We are highly focused on gaining a better understanding of the needs and growth plans of our existing customers, increasing our feature velocity and shaping our product roadmap around the needs of DNE Customers, and leveraging our account management function to provide more direct coverage of our top spending accounts. This deeper relationship with our customers is helping us to identify opportunities to educate our customer base on ways to utilize the platform more effectively for their individual use cases, as well as provide a feedback loop to inform our product roadmap, in order to build trust with customers and encourage them to run more of their critical cloud workloads on our platform. We expect to increase our revenue in the future from existing customers through the introduction of new products and features tailored to our DNE Customers through expanded customer outreach, and targeted services to support our customers in migrating additional workloads from other cloud providers to DigitalOcean.

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DigitalOcean Holdings, 10-Q 제출: 분기 보고서(10-Q) · Slicast