DoiT International Public Market Comparables
Find the most relevant public market comparables for DoiT International, including EV/Revenue and EV/EBITDA multiples to help you make informed investment decisions.
Company Overview
DoiT International is a global technology company providing intelligent technology and multicloud expertise to help organizations save time and money. They offer cloud cost-management technology and services, training, and support for public cloud workloads with complex requirements. Their platform uses machine learning to optimize workloads and reduce cloud costs across major public cloud providers. DoiT specializes in Kubernetes, GenAI, CloudOps, and FinOps.
Business Model
Software and services provider offering cloud cost optimization and management solutions, consulting, and training.
Target Customers
Organizations of all sizes using public cloud infrastructure (AWS, Google Cloud, Microsoft Azure) needing help with cost optimization, workload management, and cloud expertise.
Specific Focus
Multi-cloud cost optimization and management
Location
Santa Clara, California
CEO
Vadim Solovey
Industry
Software & services
Sub Sector
Cloud Computing
3yr Revenue Growth
446%
Website
Public Market Comparables
Below are the key valuation metrics for companies similar to DoiT International in the Technology sector. These metrics can help you understand how the market values companies with similar business models and growth profiles.
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Unlock the Full DoiT International Compset
As a leading player in the Software & services industry within the Technology sector, DoiT International operates in the specialized Cloud Computing sub-sector. Understanding how DoiT International compares to its public market comps is essential for accurate valuation and strategic decision-making.
Our comprehensive analysis includes detailed comparables (compsets) featuring similar companies in the Cloud Computing space, with complete financial metrics, growth trajectories, and competitive positioning insights that go beyond the surface-level data shown above.
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