Public Markets, Private Rounds, and M&A Benchmarks Across the AdTech Stack

AdTech valuation benchmarks are often misleading when taken at face value.

Public comps, late-stage private rounds, and M&A transactions are frequently blended together, despite being priced under very different assumptions. As a result, founders and investors often rely on averages that hide more than they reveal.

This dataset is built to fix that.

The AdTech Valuation Multiples 2026 database provides a structured, source-linked view of how AdTech companies are actually being valued today, segmented by niche, stack layer, stage, and capital context.

What’s inside the dataset

The Excel file covers 170 AdTech companies across 12 core niches, with clear separation between:

• Public companies

• Private funding rounds

• M&A transactions

For each company, the dataset includes:

• Enterprise Value (EV)

• Revenues

• EBITDA (where available)

• Total funding raised

• EV/Revenue, EV/EBITDA (where available), and EV/Funding multiples

• Company stage and transaction type

• Source links for every financial data point

No blended averages. No black-box estimates.

Covered AdTech niches

The dataset spans the full AdTech value chain, including:

• Demand-Side Platforms (DSPs)

• Supply-Side Platforms (SSPs) & Publisher Monetization

• Data, Identity & Customer Data Platforms (CDPs)

• Attribution, Measurement & Marketing Analytics

• Creative Optimization & Ad Production Technology

• Influencer, Creator & Affiliate Marketing Platforms

• Lifecycle Marketing, CRM & Engagement

• Retail Media & Commerce Advertising

• Mobile Advertising & App Monetization

• Connected TV (CTV) & Streaming AdTech

• Ad Verification, Fraud & Brand Safety

• Performance Networks & Lead Generation Platforms

Each niche can be analyzed independently or compared across stack layers.

How this dataset is meant to be used

This database is designed for real valuation work, not headline browsing.

It is commonly used to:

• Benchmark a company ahead of a fundraising round

• Sanity-check valuation expectations against actual market outcomes

• Support board discussions and strategic planning

• Prepare for M&A conversations or secondary transactions

• Analyze how valuation drivers differ by stack position and business model

The structure mirrors how we approach AdTech valuations internally at Finro.

What makes this dataset different

• Capital context matters: public, private, and M&A benchmarks are kept separate

• Layer-aware structure: valuation patterns by stack position are visible

• Source transparency: every figure is traceable

• Built for analysis: clean Excel format, not a PDF snapshot

• Updated for 2026: reflects current market conditions, not peak-cycle artifacts

This is not a generic multiples table. It’s a valuation tool.

Who this is for

• AdTech founders preparing for fundraising or exits

• Investors underwriting AdTech opportunities

• Corporate development teams evaluating acquisition targets

• AdTech operators trying to understand valuation dispersion across the stack

If valuation decisions matter to your role, this dataset saves time and reduces guesswork.

Pricing and access

Price: €79.90

Format: Excel (instant download after purchase)

Once purchased, you’ll receive immediate access to the full dataset.

Download the AdTech Valuation Multiples 2026 dataset

If you want to understand how AdTech companies are actually priced, not how averages suggest they should be, this dataset gives you the right reference points.