DigitalOcean Holdings Inc. (DOCN)
Summary
Are Computer and Technology Stocks Lagging DigitalOcean (DOCN) This Year?
Here is how DigitalOcean Holdings, Inc. (DOCN) and Motorola (MSI) have performed compared to their sector so far this year.
DigitalOcean: The Credit Market Has Priced The Thesis, The Equity Has Overpriced It
DigitalOcean Holdings, Inc. has outperformed expectations, with rapid AI-driven ARR and revenue growth, but shares now reflect much of this upside. Q2 results showed 29% revenue growth, 212% AI Customer ARR growth, and a record $93M incremental ARR, but cash conversion lags due to capital intensity. The new $725M debt facility signals strong lender confidence and supports capacity expansion, yet increases off-balance-sheet leverage and future cash flow risks.
Why Is DigitalOcean (DOCN) Down 15.7% Since Last Earnings Report?
DigitalOcean (DOCN) reported earnings 30 days ago. What's next for the stock?
DigitalOcean Holdings Inc. Investors
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| TJD Thomas John Drogan PR Inc.IPAL SECURITIES Inc. | 2,381 | $373,888 | $260,648.07 | -$113,239.93 | -30.29% |
 Curtis Ellergodt Rothschild Investment LLC | 72 | $3,971.62 | $7,881.84 | $3,910.22 | 98.45% |
| BZ Brandon Zatopek Commonwealth Equity Services LLC | 13,490 | $2.12M | $1.48M | -$641,579.7 | -30.29% |
| ABB Alexander Bjornager Bonde Danske Bank A/S | 9,951 | $1.56M | $1.05M | -$517,252.45 | -33.1% |
| SLJ S. Leslie Jewett California First Leasing Corp | 87,600 | $2.61M | $8.58M | $5.97M | 228.32% |
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DigitalOcean Holdings Inc. Profile
| Transportation Infrastructure Industry | Industrials Sector | Padmanabhan T. Srinivasan CEO | NYSE Exchange | 25402D102 CUSIP |
| US Country | 1,462 Employees | - Last Dividend | - Last Split | 24 Mar 2021 IPO Date |
Overview
DigitalOcean Holdings, Inc. is a prominent player in the cloud computing industry, operating a comprehensive platform across North America, Europe, Asia, and other global locations. Founded in 2012 and headquartered in New York, New York, DigitalOcean caters primarily to developers, start-ups, and small to medium-sized businesses, offering a range of cloud computing solutions designed to facilitate seamless digital operations. Its infrastructure is designed with simplicity and scalability in mind, addressing the needs of software engineers, data scientists, system administrators, and hobbyists across various industry verticals. The platform supports a wide array of use cases, from web and mobile applications development to e-commerce, media, gaming, and artificial intelligence/machine learning (AI/ML) applications.
Products and Services
- Infrastructure-as-a-Service (IaaS) Solutions:
DigitalOcean's IaaS offerings include compute and storage services, empowering users with scalable and flexible computing infrastructure. The portfolio also features networking projects, such as Cloud Firewalls for securing applications, Managed Load Balancers to distribute traffic, and Virtual Private Cloud (VPC) for network isolation.
- Platform-as-a-Service (PaaS) Solutions:
The company's PaaS solutions streamline application development and deployment. These services include managed databases for hassle-free database administration, managed Kubernetes for orchestrating containerized applications, a container registry, and an application platform that simplifies building, deploying, and scaling applications. Additionally, DigitalOcean offers Functions, a serverless compute solution for executing code without managing servers, and Uptime, a monitoring tool providing real-time uptime and latency alerts.
- Software-as-a-Service (SaaS):
Under its SaaS model, DigitalOcean provides managed hosting services, simplifying the web hosting experience for users. Additionally, the DigitalOcean Marketplace offers a curated selection of pre-configured applications and solutions, enabling developers to find and deploy software quickly.
- Artificial Intelligence/Machine Learning (AI/ML) Applications:
DigitalOcean's AI/ML offerings facilitate the scaling of AI applications through GPU virtual machines, Notebooks for interactive data exploration and machine learning model training, and Deployments, which allow users to deploy machine learning models as API endpoints. These solutions are geared toward researchers, data scientists, and businesses looking to leverage AI and ML for their projects.
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