Account

Sign in to access your account and subscription

FIN 48: Accounting for Uncertain Income Tax Positions

This article provides a brief overview of the two-step, benefit-recognition approach implemented by FIN 48, a summary of the disclosures required by FIN 48, and a discussion of issues associated with protecting FIN 48 compliance documentation from disclosure to taxing authorities.

20 minute read November 29, 2007 at 04:00 PM
By
Peter H. Gruen And Lindsay M. Lacava
FIN 48: Accounting for Uncertain Income Tax Positions

In an effort to increase comparability and consistency in how companies report income tax positions on financial statements, the Financial Accounting Standards Board ('FASB') issued FASB Interpretation Number 48 ('FIN 48'), Accounting for Uncertainty in Income Taxes, on July 13, 2006.

This premium content is locked for Accounting and Financial Planning for Law Firms subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN Accounting and Financial Planning for Law Firms

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

August 01, 2026