EdTech
Valuations for EdTech — LTV by cohort, completion rates, and B2C vs. B2B2C model dynamics.
EdTech businesses look like SaaS on the surface but the seasonality, churn pattern, and unit economics are different enough that a naive SaaS framework misreads them. B2C learners churn at much higher rates than B2B SaaS users; B2B2C contracts (schools, employers) layer on top with multi-year procurement cycles.
Completion rate is a leading indicator that doesn't appear on the P&L but materially affects long-run cohort LTV. We model completion explicitly, then use cohort-level LTV by completion-bucket to derive a defensible revenue forecast. The same approach handles the strong seasonality in academic-year-aligned products.
UK EdTech faces a specific regulatory landscape — Ofsted oversight for some segments, GDPR-for-children compliance, and increasingly EdTech assurance schemes — that affects competitive positioning. We document these factors transparently in the report.
We anchor every EdTech valuation on these inputs, with sensitivities run on the top three.
Based on UK-listed peer evidence, mid-2026. Indicative only — company-specific valuations require a triangulated football-field reconciliation.
EV / Revenue
1.5x – 5.5x
EV / EBITDA
10x – 25x (where EBITDA positive)
B2B2C and B2B-school-channel EdTech trades at the upper end; B2C-only consumer EdTech is closer to consumer-subscription multiples.
We model cohort LTV by completion bucket, then bridge to EV/Revenue using a recent set of UK and US EdTech comparables — adjusting for the B2C vs. B2B2C revenue mix and the academic-year renewal pattern.
Every EdTech valuation we run triangulates DCF, comparable companies and precedent transactions — and adds LBO, asset-based and Monte Carlo where they materially affect the range. The methodology is documented in our methodology disclosure.
Hypothetical examples illustrating the kind of work we do. Identified case studies will replace these as engagements complete.
Anonymised hypothetical — supported a bridge round with cohort-LTV modelling and a school-channel renewal-rate sensitivity.
Anonymised hypothetical — modelled completion-bucket LTV to defend a premium-to-comp multiple in an acquirer process.
Free download
2026 EdTech deep-dive: cohort-LTV benchmarks, completion-rate distributions, and B2C vs. B2B2C multiple comparison.
Sector report
UK-listed peer comparables, multiples distributions, and sector-specific benchmarks. Watermarked for your team.
Try the free calculator for an indicative range, or request a quote for the signed report.