Tax Agency Number (TAN) 30004113
Defensible arm’s length evidence for every intercompany transaction — comparable searches, the right profit level indicator, and an interquartile range built to withstand FTA scrutiny.
A benchmarking study tests your result against independent comparables.
A transfer pricing benchmarking study is an economic analysis that tests whether a related party transaction is priced at arm’s length — in line with what independent companies would charge in comparable conditions. It identifies comparable companies or transactions from commercial databases, selects the right profit level indicator, and computes an interquartile arm’s length range the tested party’s result is measured against. In the UAE it underpins the Local File and defends the values on the corporate tax transfer pricing disclosure. It is mandatory support where a Local File is required (revenue above AED 200 million, or an MNE group above AED 3.15 billion) and strongly advisable wherever related party transactions exceed the AED 40 million disclosure threshold or connected-person payments exceed AED 500,000.
Written by the Saif Chartered Accountants team · Reviewed by T. K. Chandy, Chartered Accountant · Last updated: 28 July 2026
The difference between a study that survives an FTA audit and one that gets challenged.
Defensible arm’s length analysis for every type of related party and connected person transaction.
For distributors, service providers, and contract manufacturers — an independent comparable set and the interquartile range for the chosen profit level indicator, using the most widely applied OECD method in the UAE.
Where directly comparable independent prices exist — commodities, quoted rates, or internal third-party transactions — we benchmark the price directly, the most reliable OECD method when reliable comparables are available.
Intercompany loan interest rates, guarantee fees, and cash-pool pricing benchmarked against comparable credit ratings, tenors, and currencies — loan balances also count toward the AED 40 million disclosure threshold.
Royalty rates for IP licences and franchises benchmarked using licence-agreement data, with the OECD DEMPE analysis to confirm which entity should earn the return on the intangible.
Intercompany management fees and shared-service charges tested, and assessed for the OECD low value-adding intra-group services simplified approach at cost plus 5%.
Director and key management personnel remuneration — salary, fees, bonuses, benefits — benchmarked against comparable roles to support the deductible amount where payments exceed AED 500,000.
Comparables are rarely perfect, so the range is narrowed to the interquartile band (25th–75th percentile) to strip out outliers. Inside the band, your pricing is defensible; outside it, the FTA expects an adjustment to the median.
Every accept/reject decision is recorded so the analysis can be re-run and defended years later, mirroring OECD Chapter III and FTA expectations.
Characterise the tested party by functions performed, assets used, and risks assumed — usually the least complex party, without unique intangibles.
Classify each transaction (goods, services, financing, IP) and select the most appropriate OECD method — typically TNMM, or CUP where reliable independent prices exist.
Choose the PLI that matches the tested party’s function — net cost plus for routine services and contract manufacturers, operating margin on sales for distributors.
Set industry codes, geography (UAE first, then GCC, then wider), independence, size, and data-availability criteria for a reproducible search.
Apply quantitative filters in a commercial database — Orbis, Amadeus, or TP Catalyst — recording the search date and strategy.
Review and reject candidates with different functions, related party dependence, losses, or insufficient data — documenting each rejection.
Calculate the PLI for accepted comparables, typically using multi-year weighted averages to smooth volatility.
Establish the arm’s length range and test the result; if it falls outside, recommend and document an adjustment to the median.
Compile the database, search date, screening steps, and conclusion into a benchmarking report supporting the Local File — retained 7 years.
A mismatched PLI is one of the leading causes of FTA challenge. This is how we map function to indicator.
| Tested Party Function | Typical Method | Appropriate PLI |
|---|---|---|
| Routine / limited-risk distributor | TNMM | Operating margin on net sales |
| Routine service provider | TNMM / Cost Plus | Net cost plus (return on total costs) |
| Contract / toll manufacturer | TNMM / Cost Plus | Return on total costs or operating assets |
| Full-risk distributor / entrepreneur | TNMM / Profit Split | Operating margin (Profit Split if unique IP) |
| Holding / IP-owning entity | CUP / TNMM | Royalty rate or return on assets |
| Intra-group lender | CUP | Interest rate (credit-rating adjusted) |
The FTA expects comparables sought in order of relevance. Defaulting to global data when local comparables exist is a methodology weakness that invites adjustment.
Routine low value-adding intra-group services — IT, HR, accounting, and administrative support that is not core and involves no unique intangibles — can be charged at cost plus a 5% mark-up without a full benchmarking search. We confirm a service genuinely qualifies before applying it, because misclassifying core or valuable services creates audit exposure.
Any UAE business that must prove its related party pricing is at arm’s length.
Results are tested against the 25th–75th percentile range. Outside it, the FTA expects an adjustment to the median.
Related party transactions above AED 40 million (AED 4 million per category) and connected-person payments above AED 500,000 must be disclosed.
Financial data is refreshed annually; a full new comparable search is typically run every three years absent material change.
Get a defensible, FTA-ready arm’s length analysis that integrates directly with your UAE transfer pricing documentation. As FTA-registered Tax Agents (TAN 30004113), we manage the full benchmarking lifecycle.
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