BioTech Valuation Multiples

Explore private market BioTech valuation multiples with benchmarks structured by stage and region. Updated quarterly.

Coverage
EV/Sales; EV/EBITDA
Valuation Multiples
Private Market
Benchmarks
Stage & Region
Adjustment
Quarterly
Updated
Sector Profile

BioTech

BioTech companies software, infrastructure, and applications that enable prediction, automation, and decision support at scale. Private market AI valuations are often influenced by model differentiation, data advantages, compute intensity, and the ability to translate innovation into repeatable commercial traction.

The category spans foundational models, applied AI products, workflow copilots, and enabling infrastructure. DealMatrix tracks valuation dynamics across 7 funding stages and all major global regions, updated every quarter.

Model Differentiation
Investors often assign premiums where technical performance, proprietary tuning, or workflow integration creates defensible product value.
Data Advantage
Access to unique datasets, feedback loops, and domain-specific training signals can improve product quality and strengthen moat assumptions.
Compute Economics
Margin profiles and scaling potential depend heavily on inference efficiency, infrastructure costs, and pricing power.
Commercialisation Speed
Valuations increasingly reflect which AI companies can move from experimentation into recurring production deployments.

Sector

BioTech

Health & Life Sciences

Sector tracked since

2000

25+ years of data

EV/SALES & EV/EBITDA ACROSS

6 Regions · 7 Stages

Modelled independently via proprietary econometric approach

UPDATE FREQUENCY

Quarterly

Data updates & model improvement

Private Market

BioTech Valuation Multiples

Select a region and funding stage to preview how BioTech companies are valued in private markets. Full data available on the platform.

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Methodology

The Venionaire DealMatrix Multiples Model

DealMatrix multiples are derived through a five-step model combining public capital market comparables, proprietary VC/PE/M&A transaction data, and macroeconomic indicators.

The model produces three components: The reported public multiple, the model-predicted multiple, and the lower bound predicted multiple averaged into the DealMatrix Composite, then adjusted for region and funding stage. The methodology follows the IPEV Guidelines 2025.

Model Architecture
Step 1: Data Acquisition
Step 2: Data Cleaning
Step 3: Econometric Modelling
Step 4: Multiple Averaging
Step 5: Region/Stage Adjustment
Final DealMatrix Multiples
Following IPEV Guidelines 2025
Deals Monitor
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COMPANY VALUATION

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