Royalty Rate Selection: Finding Comparable Licensing Data

Royalty Rate Selection: Finding Comparable Licensing Data

Why the Royalty Rate Is Everything

In a Relief from Royalty (RFR) valuation, the royalty rate is the single most influential assumption. A 1 percentage point change in the royalty rate can shift the asset value by 15-25%, depending on the revenue base and asset life. Everything else in the RFR calculation — the revenue forecast, discount rate, and useful life — may be perfectly calibrated, but if the royalty rate is wrong, the valuation is wrong.

The challenge is that royalty rates are not observable market prices in the way that, say, property yields or bond spreads are. They must be inferred from comparable licensing transactions, which are often privately negotiated, poorly documented, and may include bundled terms that complicate the extraction of a clean rate. This article provides a practical framework for finding, evaluating, and selecting defensible royalty rates.

15-25% valuation impact from a 1% royalty rate change
5+ major licensing databases available
Adjustments always required — raw comparables are never directly applicable
★ Key Takeaway

A defensible royalty rate is not plucked from an industry range. It is derived from comparable transactions, adjusted for relevant differences, and cross-checked against economic logic. The documentation trail from comparable selection through adjustment to final rate is what makes a valuation audit-proof.


Licensing Databases

Primary Sources

Database Coverage Strengths Limitations
RoyaltyStat 20,000+ agreements from SEC filings US-centric, detailed terms available Limited non-US coverage
ktMINE Global IP transactions Broad industry coverage, analytics tools Some agreements lack financial detail
Royalty Range European and global Good European coverage, industry segmentation Smaller dataset than US databases
Bloomberg Terminal M&A and licensing transactions Integration with financial data Licensing data not the primary focus
IPlytics Patent licensing and standards Strong for SEPs and technology patents Narrow focus on patent licensing
ℹ Note

No single database is comprehensive. A thorough royalty rate analysis should consult multiple sources and cross-reference results. SEC filings in the US often contain the most detailed licensing terms because public companies must disclose material agreements.

Secondary Sources

Beyond databases, royalty rate evidence can come from:

  • Court decisions. Patent infringement cases often include expert testimony on reasonable royalty rates, which provides judicially tested rate evidence.
  • Transfer pricing studies. Multinational companies document arm's-length royalty rates for intercompany transactions. While these rates may be influenced by tax planning, they provide additional data points.
  • Industry surveys. Organisations such as the Licensing Executives Society (LES) publish periodic surveys of licensing practices by industry.
  • Prior transactions of the subject company. If the company being valued has previously licensed its own IP, that transaction provides the most directly comparable evidence.

Comparability Assessment

Finding licensing transactions is only the first step. Each comparable must be assessed for its relevance to the asset being valued.

Key Comparability Factors

Asset type comparability

Is the licensed asset the same type as the asset being valued? A software licensing agreement is not comparable to a pharmaceutical patent licence, even if both are technology assets.

Industry and market comparability

Licensing rates vary dramatically by industry. Software royalty rates (5-25%) are structurally different from consumer goods rates (2-8%) because of different margin structures.

Deal structure comparability

Exclusive licences command higher rates than non-exclusive. Worldwide licences differ from territory-restricted deals. Bundled agreements (IP + services) must be unbundled.

Market position comparability

A licence for a dominant market-leading technology will command a higher rate than one for a niche or commodity alternative. Assess the relative market power of licensor and licensee.


Comparability Adjustments

Raw comparable rates almost never apply directly. Common adjustments include:

Adjustment Categories

Adjustment Direction Rationale
Exclusivity Up if exclusive, down if non-exclusive Exclusive licences have higher value
Geographic scope Up for broader territory Worldwide rights are worth more
Bundled services Down to remove service component Isolate the pure IP rate
Upfront payments Adjust to convert to running royalty equivalent Some deals include lump sums
Cross-licensing Down to net out reciprocal value Cross-licences understate the true rate
Bargaining power Adjust for relative negotiating position Distressed licensors accept lower rates
Date of agreement Consider market evolution Older agreements may not reflect current conditions
⚠ Warning

Adjustments should be documented and quantified wherever possible. Saying "we adjusted upward for exclusivity" is not sufficient — the magnitude of the adjustment and its basis must be explained. If adjustments become so large that the comparable is more adjustment than data, it may be better to exclude the comparable entirely.


Industry Benchmarks

While each valuation requires specific comparable analysis, industry benchmarks provide useful reference points and cross-checks:

Royalty Rate Ranges by Industry and Asset Type

Industry / Asset Type Typical Royalty Range Basis
Enterprise software 10-25% of revenue Complexity, switching costs
Consumer software/apps 5-15% of revenue Competition, commoditisation
Pharmaceutical patents 3-8% of net sales Patent strength, therapeutic area
Medical devices 3-7% of net sales Regulatory barriers, alternatives
Consumer brands 3-10% of revenue Brand strength, category
Industrial technology 2-6% of revenue Process efficiency gains
Telecommunications 1-5% of revenue Standards-essential patents, FRAND
Media and entertainment 5-15% of revenue Content type, distribution rights
✔ Example

A SaaS company's proprietary technology platform generates £30M in annual subscription revenue. Comparable licensing transactions for similar enterprise software platforms show royalty rates of 12-18%. After adjusting for exclusivity (the owner has sole use) and the platform's market-leading position, a rate of 15% is selected. This implies annual royalty savings of £4.5M, which would be projected over the technology's useful life and discounted to present value.


Cross-Checking the Rate

Profit Split Test

A selected royalty rate should be consistent with the economics of the asset. One useful cross-check is the profit split test: does the royalty rate imply a reasonable split of profits between the licensor (who owns the IP) and the licensee (who commercialises it)?

The "25% rule" (licensor receives 25% of the licensee's operating profit) was historically used as a benchmark but was rejected by the US Court of Appeals for the Federal Circuit in Uniloc v Microsoft (2011) as an unreliable starting point. Nevertheless, the underlying logic — that the rate should represent a reasonable sharing of economic benefit — remains sound as a cross-check.

EBITDA Margin Test

The royalty rate should not exceed the licensee's EBITDA margin, since no rational licensee would pay a royalty that eliminates all profit. If the business has a 20% EBITDA margin and the selected royalty rate is 18% of revenue, the rate is almost certainly too high.

The Bottom Line

Royalty rate selection is the foundation of every RFR valuation. Build the rate from comparable transactions, adjust for relevant differences, and cross-check against economic logic and profit margins. Document every step of the analysis — from database search parameters through comparability assessment to final adjustments. The Opagio Calculator includes built-in royalty rate benchmarks by industry and asset type to support and cross-check your analysis.


Further Reading


Ivan Gowan is the Founder and CEO of Opagio. His experience licensing technology platforms at IG Group and across the fintech sector provides practical insight into the commercial dynamics that drive licensing rates. Meet the team.

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Ivan Gowan

Ivan Gowan — CEO, Co-Founder

25 years as tech entrepreneur, exited Angel

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