How should companies disclose measurement uncertainty for internally generated intangible assets?

Companies should disclose measurement uncertainty for internally generated intangible assets so users can judge reliability and risk. Effective disclosure links the valuation model, key assumptions, and the range of plausible outcomes to the company’s governance and controls, enhancing trust and comparability.

Disclosure principles

Standards set by the International Accounting Standards Board require transparency about measurement bases and impairment testing under IAS 38 Intangible Assets and related IFRS guidance. As Baruch Lev New York University Stern School of Business has shown in research on intangibles, investors rely on clear information about assumptions because book values often diverge from economic value. Disclosures should therefore explain the valuation method, justify chosen inputs, and state the degree of uncertainty rather than presenting a single point estimate as if exact.

Required elements

A practical disclosure explains the cash flow model or cost approach used, lists the most sensitive assumptions such as projected revenue growth, discount rates, and useful life, and presents sensitivity analysis showing how reasonable alternative assumptions change valuation. Companies should quantify uncertainty by giving ranges, probability-weighted scenarios, or stress-case outcomes and describe controls over internally generated data and the involvement of valuation specialists. Where US GAAP is applicable, guidance from the Financial Accounting Standards Board likewise emphasizes robust impairment testing and disclosures that allow analysts to replicate or stress-test conclusions.

Consequences and contextual nuance

Clear disclosure reduces information asymmetry and can lower cost of capital for firms whose intangibles are material, while poor disclosure increases the risk of restatements, investor litigation, and market mispricing. Cultural and territorial factors matter because technology and creative sectors in Silicon Valley have different model risks than traditional manufacturing firms in Europe, and regulators in different jurisdictions may expect varying levels of narrative and quantitative detail. Auditors and audit committees should be named where they play a role in oversight, and companies should disclose whether external valuation experts participated and what credentials they held.

Transparent reporting of measurement uncertainty therefore requires explaining relevance, causes, and consequences, combining quantitative ranges with governance and contextual narrative so stakeholders can make informed judgments about internally generated intangible assets.