19 September 2026
Nutanix, Inc.
CIK: 1618732•2 Annual Reports•Latest: 2026-09-18
Disclaimer: AI-assisted summary of SEC Form 10-K filings. Not official company content and not investment, legal, accounting, or tax advice. See full disclaimer here.
10-K / September 18, 2026
Revenue:$2,853,545,000
Income:$1,506,837,000
10-K / September 19, 2024
Revenue:$2,148,816,000
Income:-$124,775,000
10-K / September 18, 2026
Nutanix, Inc.
Company focus
- Nutanix is a hybrid cloud and AI platform company.
- Vision: simplify deployment and operation of hybrid computing infrastructure and AI factories to support distributed applications and data, including agentic AI.
- Mission: deliver an open, secure platform with rich data services to help customers modernize infrastructure, accelerate innovation, improve efficiency, and drive growth.
Core product: Nutanix Cloud Platform
- Purpose: Enables organizations to build hybrid cloud infrastructure with a consistent cloud operating model.
- Scope: A single platform for running and managing applications, agentic AI workloads, and data across core datacenters, the edge, and public clouds.
- Flexibility and choices: Supports multiple server platforms, storage options, virtualized and cloud-native environments, public clouds, and deployment models.
- Workloads supported:
- Traditional business-critical general-purpose applications
- Modern applications (containerized apps running on Kubernetes)
- Data platforms (SQL, NoSQL, vector databases, and business intelligence)
- Enterprise AI workloads (machine learning, generative AI, and agentic AI)
Platform capabilities and evolution
- Origin and progression: Nutanix pioneered hyperconverged infrastructure (HCI) and developed AHV, its native enterprise hypervisor. The platform has evolved into a unified infrastructure platform.
- Deployment reach: Supports public clouds (including AWS, Azure, Google Cloud), datacenters, and edge environments.
- Integration and extensibility: Includes support for qualified external storage systems, modern applications via Kubernetes, and enterprise AI workloads through AI infrastructure and management offerings.
- AI focus: Ongoing research and development on agentic AI to provide a full-stack platform for running, controlling, and governing AI workloads.
Business model and structure
- Organization and segment: Operates as a single operating and reportable segment.
- Revenue model: Primarily subscription-based, with products and associated support/maintenance sold under defined durations.
