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Where to Start with Your Form 1099 Product Analysis for Digital Assets

CPE 1.0

Webcast

Webcast overview

On June 28, 2024, the U.S. IRS and Treasury released the final digital asset tax reporting regulations, swiftly followed by further drafts of Form 1099-DA. Under these new rules, brokers are now required to withhold taxes and report annually on sales or exchanges involving cryptocurrencies, NFTs, tokenized securities, and other digital assets. Additionally, digital asset service providers must address other Form 1099 reporting requirements, such as income from staking rewards, airdrops, interest, and more

In light of these changes, it is crucial for digital asset service providers to analyze the geographic boundaries and legal terms of their products. This analysis will help determine which products fall within the scope of withholding and Form 1099 reporting.

KPMG LLP is pleased to invite you to this sixty-minute webcast hosted by professionals from KPMG, Ledgible, and Thomson Reuters. This webcast delves into the essential aspects of digital asset product analysis through the use of case studies. The topics covered will include:

  • Objectives, components, and outcomes of a product analysis
  • Key stakeholders involved in the analysis process
  • Mapping the essential annual reporting data elements back to the analysis
  • Practical steps to initiate your product analysis if you're feeling lost and don’t know where to start

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Information Reporting & Withholding Tax Services
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Information Reporting & Withholding Tax Services

Services to help comply with U.S. and foreign withholding and information reporting regimes.

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Tax IRW Ops Quick Tips & Updates

This article series reviews the changes and assesses the impacts resulting from the final U.S. broker digital asset reporting regulations published in the Federal Register on July 9, 2024.

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Data Management in an AI World for Tax Professionals

This TaxWatch webcast will outline how advancements in data management are helping organizations overcome challenges and deliver substantial benefits to tax departments and ways good data management enables AI to improve tax processes.

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