Get the latest news and information about XBRL in the United States. We’re also on Twitter with breaking news – twitter.com/xbrlus, and updated event listings – twitter.com/xbrlevents.

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Latest News

Tuesday, February 7, 2017

Calcbench Newsletter (February 2017)

In this issue: U.S vs International Sales at Large Filers. Early look at large banks’ 2016 revenue streams. Revenue and PPE trends in retail. Sizing the FCPA pipeline. FASB proposes tweaks to debt classification. Look, a non-GAAP enforcement action!

Thursday, January 26, 2017

Data Quality Committee Announces 3rd Set of Approved Rules Covering Over 3,300 US GAAP Concepts

The freely-available rules and guidance developed by an industry coallaborative help public companies detect inconsistencies or errors in their XBRL-formatted financial data. Several tools are certified for implementation of the approved rules.

Tuesday, January 10, 2017

Calcbench Newsletter (January 2017)

In this issue: Walmart anti-corruption costs. Walmart has been mired in a long-running investigation of possible bribery to secure permits in Mexico, India, and elsewhere. Just how much money has this cost the world’s largest company since the investigation began in 2011? At least $820 million—a number you can find quickly and easily in the […more]

News Item

Friday, December 23, 2016

Data Quality Committee Comments on Proposed 2017 Financial Reporting Taxonomy

The XBRL US Data Quality Committee responded to FASB’s request for comment, which resulted in significant changes to the Final 2017 taxonomy released for SEC review and approval as compared to the draft.

Wednesday, December 14, 2016

XBRL US & ConsenSys Form A Working Group To Develop Blockchain Tokenization Standards

XBRL US and ConsenSys, a blockchain technology company, announced the formation of a working group to develop standards for tokenization of assets on the blockchain. A token is a digital representation of an asset, e.g., debt, equity, cash or a physical asset (i.e. a vehicle or a piece of artwork).

Thursday, December 8, 2016

Calcbench Newsletter (December 2016)

In this issue: Predictive analysis and going concern warnings. A new standard goes into effect this month to impose more discipline around how companies assess their ability to continue as a going concern. Calcbench did an experiment to see how quickly we could identify filers with multiple poor financial metrics—which, in turn, could help analysts […more]

Thursday, November 10, 2016

Calcbench Newsletter (November 2016)

In this issue: Time between filing the earnings release and the 10-Q. Ever wonder how much time companies take between filing their earnings release and then following up with the Form 10-Q to report those earnings? We did, so we did some digging. While the average time gap in second-quarter 2016 was four days, when […more]

Friday, October 28, 2016

A Vision for Data at the SEC – Commissioner Kara Stein

Remarks made at the Big Data Conference on “A Vision for Data at the SEC” reiterating her suggestion that the SEC create a Digital Disclosure Task Force to develop a strategy for how the SEC acquires and provides data to investors and market participants. She also suggests that the SEC should create a new “Office […more]

Thursday, October 27, 2016

XBRL US Data Quality Committee Announces Publication of 2nd Set of Approved Rules and Guidance

Issuers encouraged to use the rules to identify and resolve data quality errors in financials XBRL US announced that it had published the second set of approved rules and guidance developed by the Data Quality Committee (DQC), which are now freely available for issuers to use to identify and correct errors in their filings. The […more]

Thursday, October 13, 2016

XBRL US Data Quality Committee Announces Third Public Review Affecting 3000+ US GAAP Elements

XBRL US announced the start of its third public exposure period for guidance and rules developed by the Data Quality Committee (DQC), which is funded through the Center for Data Quality. The Committee is responsible for developing guidance and validation rules that can prevent or detect inconsistencies or errors in XBRL data filed with the SEC and focuses on data quality issues that adversely affect data analysis.