Financial Accounting · Qualitative characteristics of useful financial information

Fundamental Qualitative Characteristics: Relevance and Faithful Representation

Updated 11 October 2026 · Fact-checked

The two fundamental qualitative characteristics in the IASB Conceptual Framework are relevance and faithful representation. Information must have both to be useful. Relevant information can change a user's decision. Faithfully represented information is complete, neutral and free from error. In exam questions, match the scenario to the right feature.

Understand Fundamental Qualitative Characteristics

Financial statements exist to help users make decisions. The Conceptual Framework says information is only useful if it has certain qualities. The most important two are called the fundamental qualitative characteristics: relevance and faithful representation.

Relevance means the information can make a difference to a user's decision. It does this if it has predictive value, confirmatory value, or both. Predictive value helps users forecast the future, for example last year's revenue trend. Confirmatory value tells users whether their earlier expectations were right or wrong, for example actual profit compared with a forecast.

Materiality is a part of relevance, specific to the entity. Information is material if leaving it out, misstating it or hiding it could reasonably influence users' decisions. Materiality depends on size, nature or both. There is no fixed percentage threshold in the Framework. A $5,000 error may be trivial for a large group but material for a small shop. An item can also be material because of its nature, such as an undisclosed transaction with a director.

Faithful representation means the information shows what it claims to show. A perfect representation has three qualities. It is complete: it includes all information a user needs to understand the item, including descriptions and explanations. It is neutral: it is not slanted to make results look better or worse. It is free from error: there are no errors or omissions in the description, and the process used to produce the figure was applied without error. This does not mean perfectly accurate. An estimate can be faithfully represented if it is clearly described as an estimate and the method is sound.

The two work together. A number that is relevant but not faithfully represented misleads users. A number that is faithful but irrelevant does not help them. Then the enhancing characteristics (comparability, verifiability, timeliness, understandability) improve usefulness further.

Key formulas to remember

Relevance: Relevance = predictive value and/or confirmatory value (includes materiality); Information is relevant if it is capable of making a difference to users' decisions.
Materiality test: Material if omission, misstatement or obscuring could reasonably influence users' decisions; Judged by size, nature or both, for the specific entity. No fixed percentage.
Faithful representation: Faithful representation = complete + neutral + free from error; Free from error does not mean perfectly accurate. Estimates can still be faithful.
Usefulness: Useful information = fundamental characteristics (relevance + faithful representation) + enhancing characteristics; Both fundamental characteristics are needed. Enhancing ones add to usefulness but cannot replace them.

How to solve Fundamental Qualitative Characteristics questions

Use this method for any question that describes a situation and asks which characteristic applies.

1Read the scenario and identify what is wrong or good about the information.
2Ask: does it affect users' decisions, help forecasts or check past results? If yes, think relevance.
3If it is about size or influence on decisions, think materiality.
4Ask: does the information show the real position? Check for missing items (complete), bias (neutral) and mistakes (free from error).
5Separate fundamental from enhancing: comparability, verifiability, timeliness and understandability are enhancing.
6Match to the exact option wording and eliminate options that name the wrong characteristic.
7For multiple response questions, select exactly the stated number of options.

Quickest way: Keyword matching

When to use it: Use for one- or two-mark objective test questions when time is short.

Forecast or past result check: predictive or confirmatory value (relevance).
Could change a decision, or size matters: materiality.
Something left out: complete.
Biased, flattering or cautious spin: not neutral.
Mistake in figures or method: not free from error.
Different year or entity compared, or checked by others, or late: enhancing, not fundamental.

Common mistakes in Fundamental Qualitative Characteristics

Thinking materiality is a fixed percentage of profit or revenue.
Students learn audit rules of thumb and treat them as the Framework's rule.
Fix: Say materiality depends on size, nature or both, and on the user's decisions. No percentage is set by the Framework.
Treating materiality as a separate fundamental characteristic.
It is often listed on its own in notes.
Fix: Remember it is an entity-specific aspect of relevance.
Saying free from error means completely accurate.
The word error sounds absolute.
Fix: Estimates can be faithfully represented if they are described as estimates and the process is applied without error.
Classing comparability or timeliness as fundamental.
All the characteristics are learned as one list.
Fix: Only relevance and faithful representation are fundamental. The other four are enhancing.
Confusing predictive and confirmatory value.
Both involve comparing numbers over time.
Fix: Predictive helps forecast the future. Confirmatory checks past expectations against actual results.

Worked examples

Example 1

A company's draft accounts omit a description of the significant uncertainty around a large legal claim. All figures included are correctly calculated. Which aspect of faithful representation is lacking?
A Neutrality
B Completeness
C Predictive value
D Timeliness

Show the solution

The figures are correct, so the issue is not an error in calculation.
Nothing suggests bias, so neutrality is not the problem.
A missing description of an uncertainty means information needed to understand the item is omitted.
Completeness is a part of faithful representation. Predictive value belongs to relevance, and timeliness is enhancing.

Answer: B: Completeness.

Example 2

Explain, with an example, why information can be relevant but not faithfully represented, and state what the user risks.

Show the solution

Relevance: a revenue figure helps users forecast next year, so it has predictive value.
Suppose the revenue includes sales not yet made, recorded early to look better. This is not neutral and has errors.
So the figure is relevant in type but does not faithfully represent the company's real revenue.
The user risks making poor decisions, for example overvaluing the company, because the figure does not reflect reality.

Answer: Relevant information must also be faithfully represented. Early-recognised revenue is the kind of item users want, but it is biased and wrong, so it misleads users.

Exam tips

Learn the exact split: relevance (predictive, confirmatory, materiality) and faithful representation (complete, neutral, free from error).
Watch for options that list enhancing characteristics as fundamental. They are traps.
For materiality, think about whether users' decisions would change, not a percentage.
In multiple response questions, count the options required before you select.
Use a short real-world example in any written explanation, such as an omitted liability for completeness.

Practice questions from Qualitative characteristics of useful financial information

Fundamental Qualitative Characteristics in other exams

The same ground in other exams, if you are preparing for more than one or want another angle on it.

Fundamental Qualitative Characteristics: frequently asked questions

What are the fundamental qualitative characteristics?

They are relevance and faithful representation. Information must have both to be useful for decisions. The other four characteristics only enhance usefulness.

What is materiality in the Conceptual Framework?

Information is material if omitting, misstating or obscuring it could reasonably influence users' decisions. It is judged by size, nature or both. It is an entity-specific aspect of relevance.

What is the difference between relevance and faithful representation?

Relevance is about whether information can affect decisions. Faithful representation is about whether it truly shows what it claims to show, being complete, neutral and free from error.

Does free from error mean the numbers must be exact?

No. Estimates can be faithfully represented if they are clearly described and the estimation process is applied without error. Perfect accuracy is not required when exactness is impossible.