Summary
DOCN Chart
The Market Is Missing DigitalOcean's Inflection Point
DigitalOcean Holdings, Inc. has capitalized on underserved SMB and individual segments and is now successfully expanding into the mid-market for higher revenue durability and improved retention. A strategic shift to leasing infrastructure will accelerate growth, boost free cash flow, and better align with demand, signaling management's bullish outlook. Valuation is attractive, especially on a cash flow basis, with growth prospects and DOCN multiples more favorable than peers.
Prediction: This Magnificent Artificial Intelligence (AI) Stock Will Be Worth More Than SoundHound AI by 2026
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Is the Options Market Predicting a Spike in DigitalOcean Holdings (DOCN) Stock?
Investors need to pay close attention to DigitalOcean Holdings (DOCN) stock based on the movements in the options market lately.
DigitalOcean Holdings Inc. Dividends
DigitalOcean Holdings Inc. Earnings
| 8 May 2025 Date | | 0.44 Cons. EPS | 0.56 EPS |
| 19 Feb 2025 Date | | 0.34 Cons. EPS | 0.49 EPS |
| 31 Oct 2024 Date | | 0.4 Cons. EPS | 0.52 EPS |
| 8 Aug 2024 Date | | 0.39 Cons. EPS | 0.48 EPS |
| 1 Aug 2024 Date | | 0.39 Cons. EPS | - EPS |
| 8 May 2025 Date | | 0.44 Cons. EPS | 0.56 EPS |
| 19 Feb 2025 Date | | 0.34 Cons. EPS | 0.49 EPS |
| 31 Oct 2024 Date | | 0.4 Cons. EPS | 0.52 EPS |
| 8 Aug 2024 Date | | 0.39 Cons. EPS | 0.48 EPS |
| 1 Aug 2024 Date | | 0.39 Cons. EPS | - EPS |
DigitalOcean Holdings Inc. (DOCN) FAQ
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DigitalOcean Holdings Inc. Profile
| Software - Infrastructure Industry | Technology Sector | Mr. Padmanabhan T. Srinivasan CEO | NYSE Exchange | 25402D102 Cusip |
| US Country | 1,210 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.
Contact Information
