Software Valuation Multiples

Explore private market Software 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

Software

Software companies build tools, applications, and platforms that automate processes, enable decisions, and connect systems across every sector of the economy. Private market software valuations reflect revenue growth, retention, gross margin quality, and the defensibility of the core product in a competitive landscape.

The category is broad — spanning enterprise platforms, vertical applications, infrastructure software, and productivity tools — unified by scalable distribution and high gross margins. DealMatrix tracks valuation dynamics across 7 funding stages and all major global regions, updated every quarter.

Revenue Quality
Recurring, predictable revenue with high gross margins is the fundamental driver of software valuation premiums.
Customer Retention
Net revenue retention above 110% signals product-market fit and compounding growth without proportional sales spend.
Distribution Advantage
Strong channel partnerships, marketplaces, or PLG motions reduce CAC and accelerate enterprise penetration.
Vertical Depth
Purpose-built vertical software commands pricing power and retention through deep workflow integration.

Sector

Software

Software & Data

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

Software Valuation Multiples

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

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Multiples
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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
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COMPANY VALUATION

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