FASB Confirms 'Fair Value' Approach for Corporate Crypto Holdings

CoinDeskPolicyОпубліковано о 2023-12-12Востаннє оновлено о 2023-12-13

Анотація

The new rules by the U.S. accounting standards setter would go into effect in December 2024.

The Financial Accounting Standards Board (FASB), a U.S. entity that details how companies should report assets on their balance sheet, published a standards update on Wednesday that will let corporations recognize "fair value" changes in crypto holdings.

The move will benefit companies with crypto on their balance sheets, like MicroStrategy (MSTR). Under the existing rulebook, companies have to report a loss if the crypto they hold is worth less than the purchase price, even if they haven't sold the assets. Under the new rules, companies will have to report the fair value, cost-basis and types of assets they're holding.

1.8K

Stakeholders providing feedback to FASB said the existing guidance did not provide useful information for investors or other parties, the update document said.

Advertisement
Advertisement

"Accounting for only the decreases, but not the increases, in the value of crypto assets in the financial statements until they are sold does not provide relevant information that reflects (1) the underlying economics of those assets and (2) an entity’s financial position," the document said.

The new rules were adopted unanimously by the board and will take effect after Dec. 15, 2024, the document said.

A section explaining how FASB got to the point of adopting new guidance said it received a vast amount of feedback supporting a new approach to digital assets.

"Stakeholders’ feedback, including respondents to the 2021 FASB Invitation to Comment (ITC), Agenda Consultation, indicated that improving the accounting for and disclosure of crypto assets should be a top priority for the Board," the document said. "Nearly 500 respondents to the 2021 ITC requested that the Board add to its agenda a project related to crypto assets."

FASB has been working on updating accounting rules for crypto holdings over the past several months, with FASB indicating in September it would adopt the new guidance.

Michael Saylor, MicroStrategy's founder and former CEO, previously tweeted that the move would make it easier for corporations to adopt bitcoin as a treasury asset, an argument he repeated Wednesday morning after the FASB guidance was released.

Advertisement
Advertisement

Bitcoin's (BTC) price rose more than 1% after the guidance was released, trading around $42,150 as of press time.

Edited by Stephen Alpher.

Пов'язані матеріали

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbit6 год тому

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbit6 год тому

Торгівля

Спот
活动图片