A functional analysis, often called a FAR analysis, identifies the economically significant functions performed, assets used or contributed, and risks assumed by each party to a controlled transaction. It is the core of the comparability analysis under the OECD Transfer Pricing Guidelines and the basis for characterizing entities, selecting the tested party and transfer pricing method, and choosing comparables.
Key takeaways
The functional analysis is one of the five economically relevant characteristics used to accurately delineate a controlled transaction (OECD Guidelines, para. 1.36).
Actual conduct, not contractual labels, determines the functional profile. Where conduct and contracts diverge, conduct generally prevails.
Risk is allocated to the party that controls it and has the financial capacity to bear it, under the six-step framework introduced in the 2017 Guidelines.
The functional profile drives entity characterization, tested party selection, method selection, and the choice of profit level indicator.
The OECD expects the functional analysis to be reviewed and updated annually, alongside the master file and local file.
Where does the functional analysis fit in the OECD Guidelines?
Chapter I of the OECD Guidelines requires the controlled transaction to be accurately delineated before it can be priced. Delineation rests on five economically relevant characteristics (para. 1.36):
The contractual terms of the transaction
The functions performed by each party, taking into account assets used and risks assumed
The characteristics of the property transferred or services provided
The economic circumstances of the parties and the market
The business strategies pursued
The functional analysis covers the second characteristic, but in practice it ties the other four together. It explains how each party contributes to value creation, how those contributions interact across the value chain, and whether the conduct of the parties matches the written agreements.
The same logic appears in domestic rules. In the US, for example, Treas. Reg. §1.482-1(d)(3) lists functions, contractual terms, risks, economic conditions, and property or services as the factors for determining comparability.
What do functions, assets, and risks mean in practice?
Functions
Functions are the activities each party performs and the decisions it makes. Typical examples include R&D, product design, procurement, manufacturing, quality control, marketing, sales, logistics, and after-sales service. The analysis should identify not only which entity performs an activity, but its relative importance, the frequency and nature of the activity, and who takes the significant decisions about it.
Where intangibles are involved, Chapter VI focuses on DEMPE functions: the development, enhancement, maintenance, protection, and exploitation of intangibles. Legal ownership of an intangible does not by itself entitle an entity to the returns from it. Entities that perform or control the important DEMPE functions, contribute assets, or assume related risks should be appropriately rewarded for those contributions.
Assets
Assets are the resources each party uses or contributes. Tangible assets include plant, machinery, and inventory. Intangible assets include patents, trademarks, software, know-how, and customer relationships. The analysis should capture the type and nature of each asset, who legally owns it, who funds its development, and who controls its use.
Funding deserves particular attention. An entity that provides funding but does not control the financial risk associated with it is, under the OECD framework, generally entitled to no more than a risk-free return (para. 1.103).
Risks
Risks are the uncertainties that affect the outcome of the business: market risk, inventory risk, credit risk, foreign exchange risk, operational risk, and product liability, among others.
Since the 2017 Guidelines, which incorporated the BEPS Actions 8–10 work, risk is analyzed through a six-step framework. In summary, the analysis identifies the economically significant risks, reviews how they are allocated contractually, and then tests that allocation against conduct. The key questions are which party exercises control over the risk (the capability and actual performance of decision-making on taking on, laying off, and responding to the risk) and which party has the financial capacity to bear it. If the contractual risk-taker does not meet both conditions, the risk is allocated to the party that does.
Why does a functional analysis matter for transfer pricing?
The arm's length principle requires that controlled transactions be priced as independent enterprises would price them in comparable circumstances. Independent enterprises price according to what each party contributes and the risks each takes on. The functional analysis is how those contributions are established and evidenced.
In practical terms, the FAR analysis drives four decisions:
Entity characterization. The functional profile determines whether an entity is, for example, a full-fledged manufacturer or a contract manufacturer, a full-risk distributor or a limited-risk distributor, a routine service provider or an entrepreneur. Each characterization carries a different expected return.
Tested party selection. Where a one-sided method is used, the tested party should generally be the party to which the method can be applied most reliably, which is typically the less complex party with no unique and valuable contributions.
Method selection. A routine entity typically supports a one-sided method such as the transactional net margin method, the cost plus method, or the resale price method. Where each party makes unique and valuable contributions, where operations are highly integrated, or where economically significant risks are shared, a profit split may be the most appropriate method.
Comparable selection. Benchmarking studies search for independent companies with functional profiles similar to the tested party. Without a clear FAR analysis, there is no defensible basis for accepting or rejecting comparables.
How does the functional analysis inform the profit level indicator?
Under the transactional net margin method, the choice of net profit indicator should reflect the value of the tested party's functions, taking into account assets used and risks assumed. Common pairings include:
Operating margin (return on sales): often used for distributors, where sales are a reliable base.
Net cost plus (return on total costs): often used for contract manufacturers and routine service providers, where costs are the relevant driver of value.
Berry ratio (gross profit to operating expenses): can be reliable for intermediaries and limited-function distributors whose value lies mainly in their operating expenses, provided they do not perform significant other functions, such as manufacturing, or use valuable unique intangibles.
Return on assets or capital employed: often used for asset-intensive activities such as manufacturing, where assets rather than costs or sales drive profitability.
The indicator should be consistent with the characterization. A mismatch between the documented profile and the chosen indicator is one of the first inconsistencies a reviewer will notice.
How is a functional analysis carried out?
A typical FAR analysis follows five steps:
Gather the facts. Interview the people involved in the transaction, including operations, sales, supply chain, finance, and senior management. Review intercompany agreements, organizational charts, decision-making records, and financial data. Contracts are the starting point for delineation, but tax authorities test conduct, so interviews and evidence of actual decision-making matter.
Map functions, assets, and risks to each party. Document which entity performs each activity, contributes each asset, and controls each economically significant risk. Many practitioners summarize this in a FAR matrix, which shows each element against each party, often with a weighting of relative intensity.
Test risk allocation. Apply the control and financial capacity tests to each economically significant risk and reallocate risk where the contractual allocation is not supported by conduct.
Characterize the entities. Based on the matrix and the risk analysis, assign each entity a functional profile and identify the tested party.
Document the conclusions. Record the analysis in the master file and local file, and carry the characterization through consistently to method selection, profit level indicator, and benchmarking.
How is the functional analysis documented?
Under the three-tiered documentation structure in Chapter V of the OECD Guidelines, the functional analysis appears at two levels:
Master file: a brief written functional analysis describing the principal contributions to value creation by individual entities within the group, including key functions performed, important risks assumed, and important assets used.
Local file: a functional analysis of the local entity and the relevant associated enterprises for each material category of controlled transactions.
Tax authorities use these sections to test whether the profit reported in their jurisdiction matches the substance on the ground. A distributor characterized as limited-risk, yet staffed with senior executives who set pricing strategy and decide on inventory levels, is a likely audit adjustment.
The functional analysis also matters outside the documentation cycle. It underpins intercompany agreements, advance pricing agreement applications, business restructuring analyses, and the scoping assessment for Amount B, the OECD's simplified and streamlined approach to baseline marketing and distribution activities.
What are common pitfalls in a FAR analysis?
Generic descriptions. Describing every entity in similar language makes it hard to support different characterizations and returns.
Relying on contracts over conduct. A contractual risk allocation that is not supported by decision-making in practice will not hold up under review.
Confusing legal ownership with economic contribution. Owning an intangible or a risk on paper is not the same as performing or controlling the functions that create value.
Inconsistency across the file. The functional narrative should match the method, the profit level indicator, the comparables, and the actual financial results.
Stale analysis. A functional analysis copied forward while the business changes is one of the most common weaknesses in transfer pricing documentation.
How often should a functional analysis be updated?
The OECD Guidelines recommend that the master file and local file be reviewed and updated annually, and that the functional analysis be checked each year for changes (para. 5.38). Local rules vary, so the requirements in each jurisdiction should be checked.
Beyond the annual cycle, specific events should trigger an earlier review: a business restructuring, an acquisition or integration, the centralization of functions into a principal or shared service center, the transfer of intangibles, new market entry or exit, or a shift in where key decisions are taken. Each of these can change where risk is controlled and, with it, which entity is entitled to the residual return.
Keeping the functional analysis current
When the documented facts drift from operational reality, the transfer pricing position rests on a description of a business that no longer exists. Keeping the analysis current is far easier when it is treated as structured data rather than static prose.
On the Aibidia platform, functional profiles, transactions, and entity characterizations live as connected data points. A change made once flows through to every document that relies on it, so updating a subsidiary's risk profile updates the local file, the benchmarking rationale, and the group-wide overview in the same step.
A current, well-evidenced functional analysis does more than satisfy documentation rules. It gives the transfer pricing team a live map of where the group creates value, which is the question boards, auditors, and tax authorities keep asking.