In the application of the Principle of Fairness and Business Prevalence (Arm’s Length Principle), one of the technical questions that often triggers debate between Taxpayers and tax authorities is the data period used: Should we use single year data (single year) reflecting current year conditions, or multi-year average data (multi-year) to smooth out economic volatility?
The answer to this question is not uniform. Although the OECD provides general guidance, countries like Indonesia, Singapore, and Malaysia have specific approaches reflecting their domestic policies.
Globally, guidance from the Organisation for Economic Co-operation and Development (OECD) and the UN serves as the main reference. Both acknowledge the benefits of multi-year data but do not mandate it absolutely.
According to the OECD Transfer Pricing Guidelines 2022, the use of multiple year data is often useful, but it is not a systematic requirement. Multi-year data should be used if it adds value to the transfer pricing analysis.
The OECD emphasizes several key uses of multi-year data:
However, the OECD also warns against using hindsight (knowledge of the future). The use of multi-year data does not automatically justify the use of multiple year averages, unless it improves the reliability of the arm's length range.
In line with the OECD, the UN Manual (UN Transfer Pricing Manual 2021) states that examining multi-year data is useful to account for the effects of business cycles or product life cycles. In the context of risk assessment, analyzing profit margins over an extended period is crucial to detect intentional profit shifting.
Indonesia, through its latest regulations, adopts an approach aligned with the OECD but with a clear hierarchy.
The latest Indonesian regulation (MoF Regulation/PMK 172 of 2023) affirms that the independent transaction price indicator value (comparable) is fundamentally formed based on single year comparable data (single year). This is the default rule in Indonesia, where the comparable data used is data available and closest to the time the transaction occurs.
However, Article 12 paragraph (3) of PMK 172/2023 provides room for flexibility: Price indicator values can be formed based on multi-year comparable data (multiple year) provided it can increase comparability.
Tax audit guidelines (PER-22/PJ/2013) explain that fairness testing often requires researching data from several years to address differences due to product or business cycles. This means, in Indonesia, Taxpayers are allowed to use multi-year analysis (usually a 3-year average) if they can prove that single year data is unreliable due to market volatility.
Singapore has a stricter approach compared to Indonesia regarding the use of multi-year data for final result testing.
The Singapore tax authority (IRAS) in the IRAS Transfer Pricing Guidelines (Eighth Edition) affirms that Taxpayers must test their related party transactions every year (annually) against arm's length results.
The use of multiple-year testing is only considered in exceptional circumstances. Taxpayers are advised to consult with IRAS before applying multi-year testing. Nevertheless, for qualitative analysis purposes (understanding trends), IRAS acknowledges that multi-year data is useful for identifying factors influencing transfer prices.
Malaysia takes the firmest position regarding the use of multi-year statistical averages.
The latest guidelines, Malaysia Transfer Pricing Guidelines 2024, explicitly state that Taxpayers must not use multiple year averages. The IRBM (Inland Revenue Board of Malaysia) requires that the fairness principle be adhered to contemporaneously on a year-by-year basis.
However, similar to other jurisdictions, Malaysia still allows the use of multi-year data for qualitative analysis purposes, such as examining loss situations and understanding product life cycles.
The debate between single year and multi-year analysis is not about choosing one "universally correct" method, but understanding the preference of the local tax authority. While the OECD and Indonesia provide room for flexibility for multi-year averages to improve comparability, Singapore and Malaysia tighten rules by requiring single-year based testing for final results. Taxpayers must adapt their documentation strategies: using single year data for compliance in Malaysia and Singapore, while utilizing multi-year flexibility in Indonesia if economic conditions demand it.
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