VENIONAIRE DEALMATRIX MULTIPLES

Methodology

Explore private market valuation multiples across 140+ sectors with benchmarks structured by stage and region. Updated quarterly. Built for practitioners.

The model
Model Architecture
1
Data Acquisition
Public
Comparables
2
Statistical Cleaning
Outlier detection · Missing value substitution · Normalisation
3
Econometric Modelling
Dependent Variables:
EV/Sales & EV/EBITDA
Independent Variables:
Macroeconomic Factors
Model trained to understand how multiples move with macroeconomic conditions capturing cycle dynamics and differences over time.
4
Multiple Averaging
Reported
Multiple
Predicted
Multiple
Lower Bound
Multiple
Average → Composite Multiple
5
Regional & Stage Adjustment
Pre-Seed → Series E · Europe · North America · APAC · more
Final DealMatrix Multiple
EV/Sales & EV/EBITDA
Following IPEV Guidelines 2025
Methodology — DealMatrix Multiples Model
The Challenge

Why classical multiple approaches fall short

Traditional comparable company analysis relies on a limited number of reference companies and fails to adequately account for macroeconomic influences. In practice, valuation levels are subject to significant fluctuations that cannot be explained by company-specific factors alone.

External factors such as interest rate levels, capital availability, and investor sentiment play a decisive role. In low-interest-rate environments, significantly higher multiples are observed than in periods of rising capital costs — because the discount rate directly affects the valuation of future cash flows.

ScenarioInterest RatesTypical Multiples
Low-rate environment Low 8–12×
High-rate environment High 3–6×

Against this background, a more data-driven approach to deriving multiples has developed. In contrast to classical comparable analyses — which are often based on a limited number of reference companies — this approach enables the use of large datasets, allowing robust patterns and market trends to be identified across different market environments and cycles.

IPEV Guidelines 2025

Calibration, time series, and continuous recalibration

Following IPEV Guidelines 2025, multipliers are expressions of a dynamic, data-driven process that adapts to a changing market environment.

A key dimension of the DealMatrix approach is time series analysis — enabling valuation levels to be observed and interpreted in the context of market cycles. The historical trend data on each sector page reflects this: showing how multiples have evolved across cycles and giving users context that a single point-in-time estimate cannot provide.

In the context of IPEV Guidelines 2025, this data-driven approach represents a particularly consistent implementation of the fair value principle — grounded in observable market data while remaining continuously adaptive. Importantly, the role of professional judgment is not replaced but complemented: the interpretation of results remains a central responsibility of the appraiser.

Reference

International Private Equity and Venture Capital Valuation Guidelines, 2025 Edition. Available at privateequityvaluation.com.

Coverage

Scope of the model

Each sector-stage-region combination is modelled independently — not derived from a single global average.

140+
Industry Sectors
Valuation Multiples by Industry
7
Funding Stages
Pre-Seed → Series E
6
Global Regions
Europe · NA · APAC · more

COMPANY VALUATION

Start using data-driven private equity/venture capital multiples.