Accounting & Audit
By Fadhil Abdulla

Audit Materiality Explained: Overall to Trivial

How auditors set materiality under ISA 320: choosing a benchmark and percentage, then deriving performance materiality and the trivial threshold.

Editorial disclosure: Pyalm publishes and maintains the products and free tools discussed on this site. Regulatory statements are linked to primary sources where applicable. No independent professional review is claimed unless a reviewer is explicitly named.

Materiality is the dial that sets how precise an audit has to be. Too low and the audit burns hours on nothing; too high and real errors slip through. ISA 320 asks the auditor to determine materiality for the financial statements as a whole, and lower thresholds for specific areas where needed.

The three numbers

Term Meaning Typical level
Overall materiality Misstatements at this level could influence users' decisions Benchmark × a percentage
Performance materiality Working threshold used when testing, set lower to cover undetected errors 50%–75% of overall
Clearly trivial Below this, misstatements aren't accumulated 3%–5% of overall

Choosing a benchmark

The benchmark should reflect what users of the accounts care about most.

  • Profit before tax — the default for stable, profit-oriented companies.
  • Revenue — when profit is volatile, small or negative, or for start-ups.
  • Total assets — for asset-heavy entities, investment and property companies.
  • Total expenses — for not-for-profits and public sector bodies.
  • Equity / net assets — for holding companies and cooperatives.

Common rules of thumb: about 5% of profit before tax; 0.5%–2% of revenue or total assets; 1%–2% of expenses or equity. These are practice conventions, not rules. Your firm's methodology and the entity's circumstances decide the final figure.

Setting performance materiality

Performance materiality exists because errors you don't find, plus errors you find but don't correct, can add up to more than overall materiality. Use a lower percentage when:

  • Controls are weak or the entity has a history of errors.
  • There are significant estimates or judgements.
  • The audit is the first year, or management changes were recent.

Use a higher percentage when controls are strong and past audits found few errors.

A worked example

A trading company has profit before tax of AED 2,500,000 and a normal-risk assessment.

  • Overall materiality at 5% → AED 125,000
  • Performance materiality at 65% → AED 81,250
  • Clearly trivial at 5% → AED 6,250

Sample sizes, tolerable misstatement for monetary unit sampling, and which differences get accumulated all follow from those three figures.

Qualitative materiality

Numbers aren't everything. A small misstatement can be material if it turns a loss into a profit, breaches a loan covenant, hides a related-party transaction or affects management bonuses. ISA 320 requires the auditor to consider these qualitative factors and, where needed, set lower materiality for particular classes of transactions or disclosures.

Revising during the audit

Materiality set at planning isn't final. If actual results differ substantially from the forecast — profit comes in far lower, say — revise it, and revisit the procedures accordingly.

Calculate it

The free Audit Materiality Calculator lets you pick a benchmark, adjust the percentage within its typical range, choose a risk level for performance materiality, and copy a summary for the working paper. For the analytical side, compute key ratios with the Financial Ratio Calculator.

For management, materiality is also a useful lens: an unreconciled bank difference or an unexplained journal larger than the clearly trivial threshold is something an auditor will ask about. Pyalm Books keeps bank reconciliation, journals and reports together so those questions have answers ready.

Standards, rates and deadlines change. Confirm the current position with the relevant authority or a qualified adviser before you rely on it.

Keep reading

More from Pyalm

Oct 16, 2026

Benford's Law for Auditors: A Practical Guide

How Benford's Law works, which ledgers it suits, how to read MAD and chi-square, and what to do when the first-digit test flags something.

Oct 16, 2026

Audit Sampling Explained: Attribute Sampling & MUS

Attribute sampling for controls, monetary unit sampling for balances, sample size tables and reproducible random selection under ISA 530.

Oct 16, 2026

Bank Reconciliation Step by Step, With Examples

How to reconcile a bank statement to your ledger: the steps, the usual reconciling items, a worked example and how to speed it up with matching.

Oct 16, 2026

How to Find Duplicate Payments and Invoices

Why duplicate payments happen, the exact and fuzzy tests that find them, how to tune the date window, and the controls that stop them recurring.

Oct 16, 2026

Missing Invoice Numbers: Testing Sequence Gaps

Why invoice numbering gaps draw questions from auditors and tax authorities, how to test a sequence, and how to document legitimate voids.

Oct 16, 2026

Trial Balance Doesn't Balance? Find the Error

Why a trial balance goes out of balance, how the size of the difference points to the cause, and what a balanced trial balance still doesn't prove.

Try the free Audit Materiality Calculator

Pyalm Books gives you the evidence an auditor asks for in one place — a double-entry ledger, manual journals, period locking, bank reconciliation, receivables ageing and VAT returns. Free while in beta.

Open Audit Materiality Calculator Start free on Pyalm Books All free tools