For owners asking what a data business is worth

Data company valuation: the multiples, as each publisher states them

We read 12 deal reports, indices and comparables pages and kept only the multiples each one states for data and analytics firms, information services companies and data software. 6 of the 12 are measured on private company sales and 5 on listed company prices.

Source: Data company valuation multiples, as published: every row, with its source

6 of 12: published multiples measured on private company sales (Data company valuation multiples, as published: every row, with its source)
7: EV to revenue multiples on the table (Data company valuation multiples, as published: every row, with its source)
6: EV to EBITDA multiples on the table (Data company valuation multiples, as published: every row, with its source)
2026-10-28: the newest report on the table was read (Data company valuation multiples, as published: every row, with its source)

Contents

Data company valuation multiples
How it works
Tell us about the data business
The questions we get
Go deeper
Sources

Data company valuation multiples

Last updated 2026-10-28

Each row is one publisher's stated multiple for data businesses, with the basis it is measured on and the sentence it came from.

Each published multiple's own M&A advisers' reports, SaaS indices, public comps pages and Damodaran's industry tables were read through estate-fetch and stored whole (sha256 on every row). For every deal report or comps page, five questions were answered from its own words: what kind of company the multiple covers, what the multiple is measured on, eV to revenue, as stated, eV to EBITDA, as stated, the figure, in the publisher's words. Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the deal report or comps page read does not address the question. A published multiple with several deal reports and comps pages reads 'varies' where they disagree. 12 published multiples, 12 deal reports and comps pages.

Data company valuation multiples
Publisher and scope	Companies covered	Measured on	EV to revenue	EV to EBITDA	Source
Aventis Advisors, data and analytics consultancies	data and analytics firms	private company sales	2.2 x	16.3 x	Aventis Advisors webinar recap
Aventis Advisors, data and analytics deals 2015 to 2025	data and analytics firms	private company sales	2.3 x	14.9 x	Aventis Advisors valuation multiples page
Berkery Noyes, information industry, Q1 2014	information services and data providers	private company sales	2.2 x	11.0 x	Berkery Noyes report summary
Clearwater Analytics, taken private in 2025	one named data company	private company sales	10.9 x	not stated	Multiples.vc company page
Damodaran, US information services, EV to EBITDA	information services and data providers	listed company prices	not stated	12.81 x	Damodaran industry table, January 2026
Damodaran, US information services, EV to sales	information services and data providers	listed company prices	2.21 x	not stated	Damodaran industry table, January 2026
Latent View Analytics, listed	one named data company	listed company prices	3.5 x	15.8 x	Multiples.vc company page
Lincoln International, marketing information services	information services and data providers	not stated	not stated	not stated	Lincoln International Q1 2026 report
Oaklins, data analytics and BI, first half of 2026	data and analytics firms	private company sales	2.3 x	13.9 x	Oaklins IT services M&A update
SaaS Capital Index	SaaS, including data software	listed company prices	not stated	not stated	SaaS Capital valuations page
Software Equity Group, analytics and data management SaaS	SaaS, including data software	listed company prices	not stated	not stated	SEG 2026 annual SaaS report page
Solganick, data analytics IT consulting	data and analytics firms	private company sales	not stated	not stated	Solganick M&A update

6 of 12 published data company multiples on the table are measured on private company sales (read up to 2026-10-28). (Data company valuation multiples, as published: every row, with its source)

Cite this page

“Data company valuation multiples”, Data Company Valuation, https://datacompanyvaluation.com/ (updated 2026-10-28). Each published multiple's own M&A advisers' reports, SaaS indices, public comps pages and Damodaran's industry tables were read through estate-fetch and stored whole (sha256 on every row). For every deal report or comps page, five questions were answered from its own words: what kind of company the multiple covers, what the multiple is measured on, eV to revenue, as stated, eV to EBITDA, as stated, the figure, in the publisher's words. Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the deal report or comps page read does not address the question. A published multiple with several deal reports and comps pages reads 'varies' where they disagree. 12 published multiples, 12 deal reports and comps pages.

How it works

Say what the data business sells, its revenue band and its plans.
We set it beside the published multiples for its kind of business.
We reply with the range that applies and the route: a licence, a sale of records, or an adviser for the whole company.

We publish multiples others state and appraise no one. Our fee is paid by the company: 12.5% of the deal, with a minimum, when we act as its exclusive agent to license its data, or 10%, with a minimum, when its data joins a bundle; a whole-company sale goes to an adviser we introduce. Publishers on the table pay nothing to appear.

The questions we get

What multiple do data and analytics companies sell for?

Aventis Advisors puts the median across disclosed deals from 2015 to 2025 at about 2.3x revenue and 14.9x EBITDA, and Oaklins puts data analytics and BI at around 2.3x EV/Revenue and 13.9x EV/EBITDA in the first half of 2026. Both are medians across many deals, not a price for any one company.(Data company valuation multiples, as published: every row, with its source)

Why do the published multiples differ so much?

They measure different things: a median over private sales, an index of listed SaaS companies, one listed company's trading multiple, or a take-private. Latent View Analytics trades at 3.5x EV/Revenue while Clearwater Analytics was taken private at 10.9x revenue.(Data company valuation multiples, as published: every row, with its source)

Is an information services company valued like a data analytics firm?

On the table the figures sit close: Berkery Noyes reported a 2.2x median revenue multiple for the information industry in a report more than a decade old, and Damodaran's US information services group shows 2.21 EV to sales in January 2026. EBITDA multiples run higher for data and analytics firms in the Aventis figures.(Data company valuation multiples, as published: every row, with its source)

Do we use these multiples to value our company?

No. We do not appraise companies. The table shows what publishers state so an owner can see the range a buyer will start from. For tax, the section 409A regulations ask, for the stock options and other stock rights a US company grants, for the reasonable application of a reasonable valuation method for stock not readily tradable on an established securities market; HMRC's Shares and Assets Valuation Manual sets out how HMRC values shares in unquoted companies for Inheritance Tax and Capital Gains Tax.(Data company valuation multiples, as published: every row, with its source)

How is the data itself treated when a data company is bought?

In the US, when a buyer acquires the data itself, as in an asset purchase, a database or customer list it acquires and holds in connection with its trade or business is a section 197 intangible, amortised over 15 years; under IFRS 3 the buyer allocates the price to identifiable assets at fair value, with the rest to goodwill.(Data company valuation multiples, as published: every row, with its source)

Are these multiples current?

Each row carries the day we read it, and the period where the publisher's own sentence gives one, as Aventis's 2015 to 2025 and Oaklins' first half of 2026 do. The newest read is 2026-10-28.(Data company valuation multiples, as published: every row, with its source)

Go deeper

Sourced, dated, kept current.

Data company valuation multiples, publisher by publisher
Data company valuation multiples from Aventis, Oaklins, Berkery Noyes, Lincoln, SEG, SaaS Capital and Damodaran, each with what it measures and when.
Selling data companies: what moves a buyer up the range
Selling data companies: what the published reports say moves a deal up or down the range, from proprietary IP to billable-hours delivery.
How to value data inside a company that is being bought
How to value data a buyer acquires: IFRS 3 fair value allocation, IFRS 13's definition of fair value and section 1060's split of the price across assets.
How to value a database for tax when it is bought with a company
How to value a database for tax: in the US a database or customer list acquired and held for a trade or business is a section 197 intangible amortised over 15 years.

Sources

This site's own datasets, every figure quoted from its source and dated:

Rules for valuing a data company when it is bought: 8 US, UK and IFRS rules on valuing an acquired data company, read 28 October 2026.
Data company valuation multiples, as published: 6 of 12 published data company multiples we read are measured on private company sales, read 28 October 2026.

The question this page is here to answer

What tax and accounting rules govern how a data company, and the data it holds, is valued when it is bought in the US and the UK?

Tell us what the company sells, its revenue band and whether it is trading or closing. We reply with the multiples that apply to its kind of business and the route a deal would take.

Answered by Data Company Valuation, which reads every enquiry this page takes.

Describe the company