The OECD inclusive framework have used common benchmarking search criteria, additional screening, and a qualitative review to produce a global dataset of businesses that undertake baseline marketing and distribution activities. The financial information from that dataset has been used to approximate arm’s length results and develop a matrix of arm’s length pricing outcomes for in-scope transactions, using return on sales as the net profit indicator.
Businesses will determine the arm’s length return for in-scope transactions by selecting the relevant segment of the pricing matrix that corresponds to the business’:
- Industry grouping, selected from three options based on whether the industry was found to have a significant relationship to levels of return; and
- “Factor intensity classification,” selected from five options based on the business’ net operating asset intensity (ratio of net operating assets to net revenue (OAS)) and operating expense intensity (ratio of operating expenses to net revenue (OES)), calculated based on a weighted average of the business’ most recent three-year financial period.
OECD pricing matrix (as a percentage of return on sales) derived from the global dataset
(Click the link below and refer the table on Page 26)
Source: Public consultation document: Pillar One—Amount B (July 2023) (oecd.org)
A number of mechanisms are being considered to address potential geographical differences. In each case, a list of relevant countries will be published by the OECD and periodically updated:
A modified pricing matrix could apply for entities in countries where geographical differences influence the profitability of baseline marketing and distribution entities;
A data availability mechanism could be used for entities in countries where there is insufficient data in the global dataset but evidence exists of country risk that may influence the arm’s length return. An uplift to the arm’s length return (taken from the standard pricing matrix) would be calculated by multiplying the entity’s asset intensity percentage (capped at 85%) by a specified percentage based on the sovereign credit rating category of the country. For example, countries with a rating of BBB+ or higher will have no adjustment but countries with a rating of CCC- or lower will apply an upward adjustment equal to 8.6% multiplied by the entity’s asset intensity percentage.
Local pricing matrices could be produced by relevant tax authorities. These will be verified by the OECD inclusive framework and published prospectively. Work continues to determine the limited circumstances in which this approach could be used.
A Berry ratio "cap and collar" guardrail will be used to prevent the over-remuneration of low-operating expense intense entities, and the under-remuneration of high-operating expense intense entities. Where the return on sales determined under the pricing matrix, converted into a ratio of gross profit to operating expenses, is outside the cap and collar range of 1.05 to 1.5, the return on sales will be adjusted to the nearest edge of the range. This applies to all in-scope transactions.
The analysis underpinning the pricing matrices will be updated every five years (unless there is a significant change in market conditions in the interim). Other financial data (including the country risk adjustment percentage under the data availability mechanism and the Berry ratio cap and collar range) will be updated annually.