Data Analytics & BI Business — Business Valuation Multiple
EBITDA Valuation Guide · Small & Mid-Sized Businesses
Actual EBITDA multiples can vary materially based on EBITDA size, growth, recurring revenue, margins, customer concentration, owner dependence, geography and other company-specific factors.
Min
4×
Typical
6×
Max
8×
Revenue Model
Mixed
Capital Intensity
Low
A typical multiple of 6× EBITDA reflects mid-market transactions in the $1–$50M revenue range.
Overview
Data analytics and business intelligence businesses typically trade at 4×–8× EBITDA. Proprietary data platforms or IP, recurring managed service or SaaS revenue, and AI and ML capability are the primary value drivers. Cross-sector applicability and strong case studies demonstrating measurable ROI attract strategic buyers. Technology evolution pace and talent market competition for data scientists are consistent risks.
Key Value Drivers
- Proprietary data platform or IP
- Recurring managed service or SaaS revenue
- Cross-sector applicability
- AI and ML capability investment
- Strong case studies and ROI evidence
Key Risks
- Technology evolution pace
- Talent market competition for data scientists
- AI disruption to human-driven analytics
- Client data ownership concerns
- Project-based work limiting predictability
Related Industries
Disclaimer: All multiples are indicative estimates only and are not formal valuations or investment advice. They should not be relied upon for financial decision-making without independent professional advice.