Verantos Public Market Comparables

Find the most relevant public market comparables for Verantos, including EV/Revenue and EV/EBITDA multiples to help you make informed investment decisions.

Company Overview

Verantos is a real-world evidence (RWE) company specializing in generating high-validity evidence for clinical, regulatory, and reimbursement purposes. It uses AI and clinical narrative data from various sources (electronic health records, medical claims, product and disease registries) to produce reliable RWE for life sciences firms, payers, providers, and regulators.

Business Model

Software as a Service (SaaS) platform providing real-world evidence (RWE) generation and data analysis services to life sciences companies and other healthcare stakeholders.

Target Customers

Top-tier biotechnology and pharmaceutical firms, leading academic medical centers, health systems, the Food and Drug Administration (FDA), the National Institutes of Health (NIH), and the National Science Foundation (NSF).

Specific Focus

High-validity real-world evidence generation at scale using AI and advanced data integration techniques.

Location

Menlo Park, California

CEO

Dan Riskin

Industry

Life sciences

Sub Sector

Bioinformatics, Real-World Evidence

3yr Revenue Growth

368%

Public Market Comparables

Below are the key valuation metrics for companies similar to Verantos in the Life Sciences sector. These metrics can help you understand how the market values companies with similar business models and growth profiles.

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As a leading player in the Life sciences industry within the Life Sciences sector, Verantos operates in the specialized Bioinformatics, Real-World Evidence sub-sector. Understanding how Verantos 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 Bioinformatics, Real-World Evidence space, with complete financial metrics, growth trajectories, and competitive positioning insights that go beyond the surface-level data shown above.

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