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What records are reported to sell for.
Figures that companies in this market have published, with sources. None are McKays deals, and none are a valuation of your records.
Sources checked 8 November 2026. Companies change their pages, so follow the links for the current wording.
Published deal figures
| Company publishing it | What it says | Source |
|---|---|---|
| Telegraph Lab (US) | $450K paid to “a 70-person engineering firm” for CAD drawings, calculations, technical reports, revisions and project specifications | telegraphlab.com/data-partnerships |
| Red Deer Data (US) | $350,000 payout for “a third-party logistics provider and distributor”, published 22 September 2026. The final licensed records and terms aren’t disclosed | reddeerdata.com case study |
Our home page shows these two figures in pounds (£337k and £262k), converted from dollars at the 20 October 2026 rate.
Published ranges
- Telegraph Lab: “Data licensing payments $100K–$4M”, described as target licensing opportunities, subject to data review and agreed terms. Source
- Red Deer Data: “Payouts range from $50k to $1M+”. Source
Platform and publisher deals
Large licensing deals between AI companies and publishers, forums or media platforms are a different market. They involve huge, public content libraries, so we don’t use them as a guide for ordinary businesses.
What couldn’t be checked
- Both deal figures are reported by the companies themselves. We found no independent confirmation: the businesses and buyers aren’t named.
- Exclusivity, duration and the records finally included aren’t published for these deals.
- Both companies are US-based. We haven’t seen published prices for UK or Irish deals, and UK buyer demand and pricing aren’t confirmed.
- Ranges are marketing statements, not offers.
What this means for you
The figures show that some buyers have paid real money for working records. They don’t tell you what yours are worth. That depends on the records, how they link together, the rights behind them, and what a buyer needs. See what affects the value of company data, or try the fit check.