This bankruptcy timing rule could determine whether you keep recent payments or lose them to creditors. Here's why.

The luxury retailer has struggled with slow sales and debt relating to its recent acquisition of rival Neiman Marcus.

Data and perspectives from Epiq AACER, the American Bankruptcy Institute (ABI) and LegalShield highlighted climbing filings and rising stress from consumers. According to data provided by Epiq AACER, ...

Saks Global files for Chapter 11 bankruptcy after mounting debt and fallout from the Neiman Marcus acquisition, securing $1bn ...

Bankruptcies are climbing again in 2025 as higher borrowing costs, lingering inflation and uneven wage growth squeeze households that were already fragile. For some, a court filing is a last resort ...

Embedded finance platform provider Solid Financial Technologies filed for bankruptcy this week, less than a month after victims of an alleged pig butchering scheme filed a class action lawsuit seeking ...

We may receive commissions from some links to products on this page. Promotions are subject to availability and retailer terms. So what determines whether you'll get approved for Chapter 7 bankruptcy?

The elevated pace of large corporate bankruptcy filings that began in early 2023 has persisted over the last 12 months (2H 2024–1H 2025) and even increased over the prior year. The most common ...

Breaking stories on blockchain or cryptocurrency seem to hit the news daily. Litigating issues involving this new area presents challenges, as there is no central issuing or regulatory authority.

Could your debt be reduced or forgiven? Take our financial relief quiz. Find my match Could your debt be reduced or forgiven? Take our financial relief quiz. Filing for bankruptcy can absolve you from ...

Bankruptcy may offer a fresh start, but it also carries lasting consequences for future credibility, financing and operations. That’s why it should be considered only after every other option has been ...

This research area encompasses the application of advanced statistical and machine learning techniques to forecast firm insolvency and identify indicators of financial distress. By integrating ...