Domo Stock Price, News & Analysis

Domo, Inc. (NASDAQ: DOMO) is a software company in the information sector that focuses on AI and data products. The company describes itself as an AI and Data Products platform that helps organizations of various sizes use data and artificial intelligence to drive value in a data-driven world. Domo trades on the Nasdaq exchange under the ticker symbol DOMO.

Domo’s platform is designed to sit on top of a customer’s preferred data foundation and is supported by the company’s Domo.AI technology and partner ecosystem. According to multiple company communications, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that address needs across the entire data journey. This includes hydrating a data foundation, building embedded applications that can be shared with employees and customers, and deploying AI models across different providers.

The company’s business model includes offering its platform as a cloud-based, subscription service. Earlier descriptions of Domo’s operations state that it provides a cloud-based platform that connects data, systems, and people in an organization, giving access to real-time data and insights and allowing business management from smartphones. Revenue is described as being derived from subscriptions to its cloud-based platform and from professional services.

AI and Data Products Platform

Domo emphasizes that its platform is built to help customers create and operate AI-powered data products. Company materials describe capabilities that allow users to bring data together, build dashboards, automate workflows, and create custom data applications. These capabilities are presented as supporting the full analytics lifecycle, from data preparation to visualization and distribution, and extending into building applications that embed analytics into business processes.

The company highlights that its platform can work with a customer’s existing data architecture rather than replacing core systems. In its communications, Domo notes that it can align data, AI models, and business workflows so that teams can act more quickly and generate measurable business value from the data products they create.

Use Cases Across Industries

Public case studies and announcements show Domo’s platform being used in a variety of sectors. For example, a global travel management and events company uses Domo’s AI and Data Products Platform to bring together travel, finance, operations, and customer data into a single, real-time view. This implementation includes live dashboards, unified reporting, and automated alerts that help teams and customers see what is happening in the moment and respond more quickly.

In another example, an Australian tile, stone, and timber retailer uses Domo with Snowflake to build a governed data foundation and an AI-ready analytics environment. In this case, Domo acts as the business engagement layer for analytics, dashboards, workflows, and custom-built data applications, including applications focused on safety and compliance. These examples illustrate how Domo positions its platform for organizations seeking to unify data, scale analytics, and prepare for AI-driven operations.

Domo has also described its role in helping a large grocery retailer aggregate and visualize data from functions such as HR, finance, marketing, operations, merchandising, and supply chain into one centralized platform. Store and department teams use Domo to access role-specific key performance indicators, while leaders use it to track strategic progress. This example underscores the company’s focus on making data accessible across different levels of an organization.

AI Capabilities and Domo.AI

The company repeatedly references its Domo.AI solution as a core part of the platform. Communications describe Domo.AI as powering AI capabilities that help users build AI-driven data products, intelligent automation, and modern app experiences. Domo has also announced offerings such as Agent Catalyst, which it describes as part of its suite of AI solutions that help users create intelligent, autonomous AI agents capable of analyzing and completing business processes with built-in security, governance, and human oversight.

In its public statements, Domo connects these AI capabilities to practical outcomes, such as enabling organizations to move from traditional dashboards and business intelligence toward AI-driven decision-making. The company also highlights interest in areas like agentic AI and AI-ready data foundations, and has been recognized in analyst reports that evaluate analytical data product platforms and agentic AI capabilities.

Ecosystem and Interoperability

Domo describes its platform as being enriched by a partner ecosystem. Examples include collaborations where Snowflake serves as the secure data foundation and Domo provides the engagement layer for analytics and applications. The company has also announced participation in the Open Semantic Interchange (OSI), an open source initiative aimed at providing a universal specification for standardizing fragmented data definitions. Through this involvement, Domo positions itself as supporting vendor-neutral semantics and consistent metrics across tools such as dashboards, notebooks, and machine learning models.

By participating in initiatives like OSI and partnering with other technology providers, Domo presents its platform as part of a broader ecosystem focused on data interoperability and consistent, trusted data for AI and analytics.

Customer and Community Programs

Domo has highlighted several customer stories and programs that show how its platform is used in both commercial and nonprofit contexts. For instance, a nonprofit organization working with people affected by leprosy in India uses Domo to connect data from multiple program areas and locations, build dashboards, and improve decision-making related to healthcare, education, and community development. This work is associated with the Domo for Good program, which provides qualifying nonprofits with Domo licenses and volunteer expertise to help them build reliable data foundations.

The company also organizes Domopalooza, described as its premier AI and data conference. This event brings together business, data, and AI leaders to learn how to build and scale impact with Domo’s AI and Data Products Platform. Domopalooza features customer stories, training, workshops, partner showcases, and experiential elements that connect data and performance. Through such events, Domo promotes its platform and shares examples of how organizations use data and AI to achieve measurable outcomes.

Corporate Governance and Filings

Domo files reports with the U.S. Securities and Exchange Commission (SEC) as a public company. Recent filings include current reports on Form 8-K covering topics such as financial results for fiscal quarters, annual meeting voting outcomes, and executive changes. For example, one Form 8-K describes an annual meeting where stockholders voted on the election of directors, ratification of the company’s independent registered public accounting firm, and an advisory vote on executive compensation. Another Form 8-K outlines a separation and settlement agreement with a former chief operating officer, including compensation terms and a consulting arrangement.

These filings provide formal information on corporate governance, executive arrangements, and financial reporting practices. Investors can use them to understand how the company is managed, how decisions are made at the board and executive levels, and how the company communicates material events.

Business Model and Revenue Sources

Earlier company descriptions state that Domo provides its platform as a subscription-based cloud service. Users access the platform to connect data, receive notifications, and act on insights, with the system able to write back to original systems of record. The company has indicated that it derives revenue from subscriptions to its cloud-based platform and from professional services. Professional services can include activities that help customers implement and use the platform effectively, though specific service types are not detailed in the provided materials.

Financial disclosures in earnings releases and SEC filings include line items for subscription revenue and professional services and other revenue, which align with this description of the company’s revenue sources. While specific financial figures change over time, the structural distinction between subscription revenue and professional services revenue is a recurring element in the company’s reporting.

Recognition and Analyst Coverage

Domo has reported recognition from various analyst firms and industry publications related to its AI and data products capabilities. For example, it has been ranked a top vendor in an analytical data products report and has been recognized in a report focused on agentic AI. The company has also been named a leader in certain technology value matrices and has received awards for its technology in business intelligence and data analytics categories.

These recognitions are presented by Domo as external validation of its platform’s capabilities in areas such as AI, self-service analytics, governance, and embedded analytics. They also reflect how industry observers categorize Domo within the broader market for analytical data product platforms and AI-enabled analytics solutions.

Stock and Investor Information

Domo’s Class A and Class B common stock structure and voting rights are described in SEC filings related to its annual meetings. Holders of Class A common stock have a higher number of votes per share than holders of Class B common stock, and both classes vote together as a single class on certain matters. Annual meeting disclosures detail how many votes are cast for each proposal and director nominee, and the percentage of voting power represented at the meeting.

As a Nasdaq-listed company in the software publishers industry, Domo’s stock is followed by investors who review its earnings releases, guidance, and non-GAAP financial measures. The company explains how it uses non-GAAP metrics such as billings and adjusted free cash flow to evaluate performance and liquidity, and provides reconciliations to GAAP measures in its financial disclosures.