Short answer
There is no standard price for a company's operational data. Advertised ranges are not offers. Actual value depends on years of history, the number of systems, data volume, how unusual the operations are, whether the rights are clear and the license terms. Written offers are the way to learn what a buyer will pay.
There is no price list for company data. There are, however, enough publicly reported figures in 2026 to show the range, and enough reporting on how buyers think to explain why one company is offered ten times what another is. This guide covers both.
Key takeaways
- DataRelai's homepage describes advertised program ranges of $100,000 to $2 million or more, not confirmed transactions or offers.
- A small wind-down archive and an operating company are different opportunities, not directly comparable price benchmarks.
- Price follows headcount, years of history, data volume, variety and how connected the systems are.
- License terms, especially exclusivity and scope, change the number as much as the data does.
- Advertised figures are marketing ranges, not offers. Values vary, and no dataset is guaranteed to qualify or find a buyer.
What has been reported publicly
| Situation | Reported figure | Source |
|---|---|---|
| Spirit Airlines, in bankruptcy | $10 million winning bid for a proposed data asset sale, not a confirmed completed payout | Frankfurt Kurnit (October 2026) |
These figures are not directly comparable. A small startup and a large airline hold very different archives. Most established small and midsize businesses sit between those extremes.
Why the range is so wide
Buyers are not paying per file. They are estimating how much useful material a dataset will yield for training AI systems. Ask each buyer how it values your archive and compare the scope and rights behind each written offer.
That is the single most practical point in this guide: one quote tells you little. Comparing offers is how a company finds out what its data is worth.
The factors that move the price
Company size. More people produce more records. Company-size requirements depend on the buyer, dataset and program. The cost of diligence and legal review matters when comparing smaller opportunities.
Years of history. Depth matters. Five years of continuous records show more situations than one.
Number of connected systems. Chat, email, CRM and tickets that cover the same events are worth more together than apart. Ask whether the buyer needs these systems together and which exclusions it will accept.
Variety and substance. Volume alone does not establish usefulness. A team that worked through hard, varied problems in writing has more to offer than a team that used its tools lightly.
How unusual the operations are. Data from an industry or workflow that buyers have little of can command more.
Clean rights. Data you can clearly license is worth more than data tangled in customer restrictions. Exclusions reduce the size of the deal, though they are often the right call.
How license terms change the number
The same dataset can be priced very differently depending on what the buyer gets.
| Term | Effect on price |
|---|---|
| Exclusive license | Usually higher, because the buyer is the only one who can use or supply the data during the term |
| Non-exclusive license | Usually lower per deal, but the data can be licensed again |
| Broad permitted use | Higher, and riskier for the company |
| Narrow scope or many exclusions | Lower |
| Longer term | Higher |
For the trade-off, see exclusive vs. non-exclusive data licenses.
What you actually keep
The headline price is not the net figure. Account for:
- Adviser fees. DataRelai charges a 10% success fee, only when a deal closes and you've been paid, with $0 upfront.
- Legal review. Your own attorney should review the agreement and your existing obligations.
- Internal time. Someone has to inventory systems and answer the buyer's questions.
- Taxes. How a license payment is taxed depends on your situation. Ask your tax adviser.
How to find out what your data is worth
- Describe what you have. List your systems, years of history and rough record counts. No exports are needed.
- Check what you can license. Remove anything your contracts or privacy commitments rule out.
- Get more than one written offer. Compare scope, exclusivity and payment terms, not only price.
The estimate tool on the DataRelai home page gives an illustrative range based on team size and years in business. It is for illustration only, not an offer or a guarantee. To have your company reviewed against what buyers require, answer a few questions.
Frequently asked questions
Is there a standard price per record or per message?
No public standard exists. Buyers quote on the company's profile and their own estimate of how useful the data will be.
Can a company with 20 employees license its data?
Possibly, but with fewer options. Minimum sizes depend on the buyer, dataset and program, and fixed review costs weigh more heavily on small deals.
Are the advertised payout ranges guaranteed?
No. They are marketing ranges published by buyers. What a buyer actually pays depends on your data and the terms. No dataset is guaranteed to qualify or find a buyer.
Is the payment one-time or recurring?
It depends on the agreement. Many reported deals are single payments for a defined archive. Some agreements cover an ongoing feed of new records.
Sources
This guide is general information, not legal, tax or financial advice. Whether a particular dataset can be licensed depends on what it contains and on obligations your company already has.