Functional Analysis

Functional analysis is the cornerstone of transfer pricing and international tax compliance, ensuring that intercompany transactions adhere to the arm’s length principle. It evaluates the roles, contributions, and risk profiles of entities within a multinational enterprise (MNE) to determine how profits and costs should be allocated. This process ensures that related-party transactions reflect the pricing that independent enterprises would establish under comparable circumstances.

The methodology is built on the FAR framework:

  1. Functions Performed
  2. Assets Used
  3. Risks Assumed

Through this analysis, tax authorities can assess whether the distribution of profits aligns with the economic reality of the contributions made by each entity in the MNE group. Conversely, it provides MNEs with a defensible position to mitigate transfer pricing disputes. Functional analysis is particularly critical in industries reliant on intellectual property, complex supply chains, or cross-border service arrangements.

The Components of Functional Analysis

Functions Performed

The first step is identifying the activities undertaken by each entity. These may include:

  • Manufacturing: Is the entity involved in routine production or complex custom manufacturing?
  • Distribution: Does the entity act as a low-risk distributor or a fully-fledged entrepreneur?
  • R&D: Who develops intangibles, and who holds the rights to exploit them?
  • Management and Control: Which entity makes strategic decisions?

The depth and complexity of these functions often dictate the relative importance of an entity in the value chain.

Assets Used

Assets encompass both tangible (e.g., machinery, inventory) and intangible (e.g., patents, trademarks) assets. A functional analysis examines:

  • Ownership and development of intangibles.
  • How assets are employed to create value.
  • Financial assets such as loans and guarantees.

For example, an entity owning critical intellectual property (IP) may claim a larger share of profits if it contributes significantly to the business.

Risks Assumed

Risks are uncertainties borne by each party, which often align with their functions and assets. Key types include:

  • Market Risk: Exposure to fluctuating demand or price levels.
  • Operational Risk: Risks related to production inefficiencies or disruptions.
  • Financial Risk: Responsibility for funding or currency exposure.
  • Credit Risk: Default risk on receivables or loans.

Entities assuming higher risks are generally entitled to greater rewards, assuming those risks are genuinely borne.


Examples of Functional Analysis in Practice

Example 1: The Contract Manufacturer vs. Fully-Fledged Manufacturer

Scenario: Company A, a US-based principal, contracts Company B in India to manufacture smartphones. Company B performs production but does not design the product or assume liability for defective components.

Analysis: Functional analysis reveals that:

  • Functions: Company A handles design, R&D, and global marketing, while Company B performs routine manufacturing tasks.
  • Assets: Company A owns patents and trademarks, while Company B employs machinery provided by Company A.
  • Risks: Company A assumes market and product liability risks, while Company B operates on a cost-plus basis, bearing minimal risk.

Outcome: Based on the FAR analysis, Company B receives a fixed margin covering its operational costs and a small profit, while Company A retains most of the profits as the economic owner of the value chain.


Example 2: Shared Service Centres in Back-Office Operations

Scenario: A multinational operates a shared service centre (SSC) in a low-cost jurisdiction, handling HR, IT support, and payroll for global operations.

Analysis:

  • Functions: The SSC performs low-value, routine services without strategic decision-making authority.
  • Assets: Limited tangible assets such as office infrastructure, with no ownership of intangibles.
  • Risks: The SSC operates as a cost centre, with negligible financial or operational risks.

Outcome: Functional analysis justifies a cost-plus remuneration method for the SSC, ensuring it earns a consistent but modest profit reflective of its limited contribution to the value chain.


Example 3: Marketing Intangibles in Regional Distribution

Scenario: A regional distributor markets and sells branded cosmetics in its local jurisdiction. It incurs substantial advertising expenses to build brand awareness.

Analysis:

  • Functions: The distributor undertakes local marketing and customer service but does not create new products or own the brand.
  • Assets: It uses trademarks licensed from the parent company.
  • Risks: The distributor assumes market risks associated with fluctuating demand and advertising expenses.

Outcome: The functional analysis identifies the distributor as a limited-risk entity. Although it incurs marketing expenses, these are deemed routine costs, and the parent company retains most profits associated with the brand.


Prominent Cases Involving Functional Analysis

Coca-Cola Co. v. IRS

In this case, Coca-Cola’s foreign affiliates retained most profits from the sales of branded beverages. The IRS challenged this, arguing that the affiliates had minimal functions and assets compared to Coca-Cola’s US operations, which developed and owned critical marketing intangibles. Functional analysis played a key role in reallocating profits to the US.


GlaxoSmithKline v. HMRC (UK)

This case revolved around the value of marketing intangibles created by Glaxo’s UK subsidiary. Functional analysis examined whether marketing efforts in the UK justified a larger profit share for the subsidiary. The court’s findings underscored the importance of aligning compensation with actual contributions.


Apple v. EU

Functional analysis was central to determining whether Apple’s Irish subsidiaries had economic substance. The investigation revealed that key functions, such as IP development, were conducted in the US, questioning the large profits reported in Ireland.