Key Takeaways
- $23.9 billion in chapter 11 filing value in the United States during 2020
- $27.5 billion in chapter 11 filing value in the United States during 2021
- $43.5 billion in chapter 11 filing value in the United States during 2022
- 1.6% of all U.S. consumer credit accounts in 2023 were delinquent 90+ days, a key precursor to bankruptcy risk (Federal Reserve Bank of New York)
- 72% of bankruptcies in a sample of U.S. small firms were associated with financial distress triggered by cash-flow problems rather than sudden shocks
- According to the American Bankruptcy Institute, there were 1,000+ chapter 11 filings in the first quarter of 2024
- Professional fees in large U.S. chapter 11 cases can exceed $100 million for complex restructurings (American Bankruptcy Institute reporting)
- In 2022, U.S. chapter 11 professional fees averaged about $1.4 million per case (ABI study)
- In 2023, U.S. chapter 11 professional fees averaged about $1.6 million per case (ABI study)
- 4.1% of U.S. credit card accounts were delinquent 90+ days in 2023, signaling elevated near-term default and potential bankruptcy exposure
- In 2024 YTD through midyear, U.S. leveraged loan downgrades reached 38% of issuers in a credit-monitoring report, consistent with rising default risk that can precede bankruptcy
- Chapter 13 filings remained substantial: 280,000 total Chapter 13 cases were recorded in 2023, based on U.S. bankruptcy court caseload tables
- 1,000+ Chapter 11 filings were recorded in April 2024 in the U.S. (as tracked by the American Bankruptcy Institute), highlighting continued Chapter 11 activity
- In a large dataset study, U.S. Chapter 11 cases on average take 20.4 months from filing to plan confirmation (mean), indicating long resolution times
- A study of U.S. consumer bankruptcies finds that 78% involve at least one creditor claim related to unsecured credit (credit cards, personal loans, or similar), characterizing the typical claimant structure
Chapter 11 filings and fees surged through 2024, with delinquency and distress signals pointing to sustained risk.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Sophie Moreland. (2026, February 13). Bankruptcy Statistics. Gitnux. https://gitnux.org/bankruptcy-statistics
Sophie Moreland. "Bankruptcy Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/bankruptcy-statistics.
Sophie Moreland. 2026. "Bankruptcy Statistics." Gitnux. https://gitnux.org/bankruptcy-statistics.
References
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