Failed DJP's Single Year Test: Tax Decision Affirms the Role of Pure Business Evidence and Multiple Years Analysis in Corporate Income Tax Transfer Pricing Disputes

Tax Court Decision | Annual Corporate Income Tax | Appeal | Fully Granted

PUT-000351.15/2021/PP/M.IVB Of 2025 – 8 May 2025

Taxindo Prime Consulting | Adv Muhammad Faiz Nur Abshar, S.H. - Lilik F Pracaya, Ak., CA., ME., BKP (C)
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<b>Failed DJP's Single Year Test: Tax Decision Affirms the Role of Pure Business Evidence and Multiple Years Analysis in Corporate Income Tax Transfer Pricing Disputes</b>

Multiple Year Analysis: PT ICC’s Landmark Victory in a CIT Transfer Pricing Dispute

The Indonesian Tax Court's decision to fully grant PT ICC's appeal in this Corporate Income Tax (CIT) Transfer Pricing dispute for Fiscal Year 2017 establishes a crucial principle in applying the Arm's Length Principle (ALP). This ruling sets a significant precedent by prioritizing the multiple year analysis as a more reliable method for testing the arm's length nature of a taxpayer’s Net Cost Profit Margin (NCPM) compared to the single year data, which is susceptible to business cycle distortions.

The case originated from a positive correction to Sales Revenue of USD 6,236,385.00 imposed by the Directorate General of Taxes (DJP), which was based on the Transactional Net Margin Method (TNMM) using data exclusively from 2017. The DJP argued that PT ICC's NCPM of -0.86% fell below the arm's length range of comparable companies, thus necessitating a correction to the median value.


The Core Conflict: Single Year vs. Multiple Year Analysis

The core conflict in this dispute focused on the interpretation of the appropriate analysis period. The DJP insisted on using the single year 2017, corresponding to the year under audit. In the DJP’s view, PT ICC’s loss-making NCPM in that year automatically indicated non-arm's length transfer pricing. Conversely, PT ICC contended that Transfer Pricing regulations (PER-22/PJ/2013 and OECD Guidelines) recommend using multiple year data (2015-2017) to stabilize the impact of economic fluctuations.

Analysis Parameter DJP (Single Year) PT ICC (Multiple Years)
Testing Method TNMM (2017 Only) TNMM (2015-2017)
Margin Indicator NCPM -0.86% MTC 2.33%
Arm's Length Status Below Range Within Arm's Length Range

Judicial Resolution: Reliability of Multiple Year Data

The panel of judges resolved the issue by referencing the prevailing regulations, specifically focusing on data reliability. The Court agreed with PT ICC that the multiple year analysis provides a more reliable and representative reflection of continuous business conditions than a single year analysis. After recalculating based on PT ICC’s multiple year data, the Court confirmed that the average MTC was within the arm's length bracket. The Court also accepted PT ICC's evidence that the operational loss incurred was a normal business phenomenon, not a profit shifting scheme, aligning with the ALP principle that related entities can incur losses for legitimate business reasons (OECD Guidelines Paragraph 1.129).

Strategic Implications for Controlled Transactions

The implications of this Ruling are substantial for tax practice, particularly in managing CIT disputes related to controlled transactions. This decision reinforces the position of taxpayers who have prepared their Transfer Pricing Documentation (TP Doc) on a multiple year analysis basis. The key takeaway for taxpayers is the necessity of not only meeting the arm's length range but also having robust functional analysis and documentation to explain any operational loss that may occur in a specific year. For the DJP, the Ruling serves as a reminder that the implementation of Transfer Pricing audits must strictly adhere to the reliability principles established in both domestic and international guidelines, which typically favor multiple year analysis.

A Comprehensive Analysis and the Tax Court Decision on This Dispute Are Available Here
Adv. Muhammad Faiz Nur Abshar, S.H.
Adv. Muhammad Faiz Nur Abshar, S.H.
Tax Business Consultant and Lawyer

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