271 EdTech companies. 7 niches. Public comps, private rounds, and M&A transactions. Structured for real valuation work, not headline averages.

Who this is for

This dataset is built for teams that need defensible market benchmarks.

It is the right fit if you are preparing a fundraising round and need realistic comps, benchmarking an EdTech deal for an IC memo, building a financial model grounded in actual transaction data, or advising on an acquisition where niche and revenue model materially affect pricing.

What is inside

271 companies across 7 EdTech niches.

Corporate Learning, EdTech SaaS & Infrastructure, K-12, Higher Education, Online Learning, Test Prep, and Immersive Learning.

Each company is independently tagged so you can filter down to businesses that actually resemble yours.

Three company types in one database.

208 private companies, 24 public comps, and 39 M&A transactions in a single structured file. Seed through Series E+ and strategic exits.

Quarter-specific analysis.

This Q4 2025 update reflects the current pricing environment across public markets, private funding rounds, and acquisition activity. You see where multiples sit today, and how dispersion behaves across niches and stages.

Fields that support real valuation work.

Enterprise value, revenue, EBITDA where available, funding raised, implied multiples (EV/Revenue, EV/Funding), and structured notes that provide context behind each transaction.

Stage-level structure.

Clear visibility into valuation compression and spread from Seed through late-stage rounds. Growth alone is no longer sufficient. Retention, margin profile, and capital efficiency increasingly drive outcomes.

How teams use it

Teams typically use this dataset to:

• Benchmark realistic valuation ranges before fundraising

• Build comparable sets for investor materials and IC memos

• Pressure-test revenue multiple assumptions inside financial models

• Understand how niche positioning affects pricing

• Compare capital efficiency across companies

The objective is not to pull a single average multiple.

It is to understand where your company sits within the broader EdTech structure, and communicate that clearly.

What makes this different

Most published EdTech multiples blend consumer learning apps with enterprise SaaS platforms and report a single sector average.

That approach hides the structural differences that actually matter.

In Q4 2025:

• EdTech SaaS & Infrastructure continues to command premium revenue multiples, reflecting enterprise stickiness and recurring logic.

• Corporate Learning and Test Prep maintain relatively stronger valuation bands due to ROI-driven purchasing and clearer monetization models.

• Online Learning and Higher Education platforms trade at wider and often discounted ranges, reflecting churn sensitivity, CAC pressure, and retention variability.

The dispersion between niches is not noise.

It reflects fundamentally different business models.

This database is organized around comparability. The spread matters as much as the average. Every company is tagged by niche, stage, company type, and financial profile, reflecting the same benchmarking logic Finro uses in live valuation and financial modeling engagements.

Deliverable

A clean, filterable Excel workbook that includes:

• Main company-level database

• Niche summary tabs

• Stage-level breakdowns

• Public vs Private vs M&A segmentation

• Pre-built charts and summary views

Delivered immediately after checkout.

FAQ

What format does the dataset come in?

A structured Excel workbook compatible with Excel and Google Sheets. Includes company-level data and analytical summary tabs by niche and stage.

What is the data cutoff?

Q4 2025. Part of Finro’s ongoing quarterly research series.

Can I use this for client work?

Yes. Single-user professional license. Contact us for team licensing.

What if I need help interpreting the data?

The dataset includes contextual notes. You can also book a working session with the Finro team.

Looking for other sectors?

Finro also publishes valuation databases for AI, Fintech, Cybersecurity, and PropTech.

Price

€99.90

One-time purchase. Instant download.

Why Finro

Since 2014, Finro has supported founders, investors, and corporate development teams with structured valuation and financial modeling work.

These datasets reflect the same internal benchmarking logic used in live engagements. The goal is clarity. Not averages, but structure. Not narratives, but pricing logic.