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United States Bankruptcies

Price

22,060 Companies
Change +/-
+1,744 Companies
Percentage Change
+8.23 %

The current value of the Bankruptcies in United States is 22,060 Companies. The Bankruptcies in United States increased to 22,060 Companies on 6/1/2024, after it was 20,316 Companies on 3/1/2024. From 12/1/1980 to 9/1/2024, the average GDP in United States was 40,913.4 Companies. The all-time high was reached on 12/1/1987 with 82,446 Companies, while the lowest value was recorded on 6/1/2022 with 12,748 Companies.

Source: Administrative Office of the U.S. Courts

Bankruptcies

  • 3 years

  • 5 years

  • 10 years

  • 25 Years

  • Max

Bankruptcies

Bankruptcies History

DateValue
6/1/202422,060 Companies
3/1/202420,316 Companies
12/1/202318,926 Companies
9/1/202317,051 Companies
6/1/202315,724 Companies
3/1/202314,467 Companies
12/1/202213,481 Companies
9/1/202213,125 Companies
6/1/202212,748 Companies
3/1/202213,160 Companies
1
2
3
4
5
...
15

Similar Macro Indicators to Bankruptcies

NameCurrentPreviousFrequency
🇺🇸
Automobile production
11.18 M Units11.73 M UnitsMonthly
🇺🇸
Business Climate
48.5 points48.7 pointsMonthly
🇺🇸
Business Inventories
0.5 %0.3 %Monthly
🇺🇸
Capacity Utilization
78.7 %78.2 %Monthly
🇺🇸
CFNAI Employment Index
0 points-0.05 pointsMonthly
🇺🇸
CFNAI Index for Personal Consumption and Housing
-0.02 points-0.02 pointsMonthly
🇺🇸
CFNAI Production Index
-0.25 %-0.23 %Monthly
🇺🇸
CFNAI Sales, Order, and Inventory Index
-0.02 %-0.01 %Monthly
🇺🇸
Changes in Inventory Levels
64.1 B USD71.7 B USDQuarter
🇺🇸
Chicago Fed National Activity Index
0.18 points-0.26 pointsMonthly
🇺🇸
Chicago PMI
40.2 points41.6 pointsMonthly
🇺🇸
Composite Leading Indicator
100.25 points100.125 pointsMonthly
🇺🇸
Composite PMI
55.3 points54.1 pointsMonthly
🇺🇸
Consistency Index
143.15 points142.9 pointsMonthly
🇺🇸
Corn Grain Reserves
1.76 B Bushels4.993 B BushelsQuarter
🇺🇸
Corporate profits
2.727 T USD2.803 T USDQuarter
🇺🇸
Dallas Fed Manufacturing Delivery Index
2.8 points-3 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Employment Index
-2.9 points-5.3 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Index
-15.1 points-19.4 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Prices Paid Index
21.5 points20.4 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Production Index
0.7 points-2.8 pointsMonthly
🇺🇸
Dallas Fed New Order Index
-1.3 points-2.2 pointsMonthly
🇺🇸
Dallas Fed Service Sector Revenue Index
7.7 points1.9 pointsMonthly
🇺🇸
Dallas Fed Services Index
-4.1 points-12.1 pointsMonthly
🇺🇸
Durable Goods Orders
0.2 %-0.4 %Monthly
🇺🇸
Durable Goods Orders Excluding Defense
-0.2 %-0.5 %Monthly
🇺🇸
Durable Goods Orders Excluding Transportation
0.5 %-0.1 %Monthly
🇺🇸
Factory Orders
-0.5 %-0.8 %Monthly
🇺🇸
Factory Orders Excluding Transportation
0.7 %0.4 %Monthly
🇺🇸
Grain Reserves Wheat
702 M Bushels1.087 B BushelsQuarter
🇺🇸
Industrial production
0.4 %-0.7 %Monthly
🇺🇸
Industrial Production MoM
0.9 %0 %Monthly
🇺🇸
ISM Manufacturing Backlog
42.3 points44.1 pointsMonthly
🇺🇸
ISM Manufacturing Deliveries
52.6 points49.8 pointsMonthly
🇺🇸
ISM Manufacturing Employment
49.3 points51.1 pointsMonthly
🇺🇸
ISM Manufacturing Inventory Levels
42.6 points43.9 pointsMonthly
🇺🇸
ISM Manufacturing Prices
52.1 points57 pointsMonthly
🇺🇸
ISM Manufacturing Production
45.9 points48.5 pointsMonthly
🇺🇸
ISM New Orders Manufacturing
49.3 points45.4 pointsMonthly
🇺🇸
ISM New Orders Non-Manufacturing
54.1 points52.2 pointsMonthly
🇺🇸
ISM Non-Manufacturing Business Activity
57.2 points59.9 pointsMonthly
🇺🇸
ISM Non-Manufacturing Employment
47.1 points45.9 pointsMonthly
🇺🇸
ISM Non-Manufacturing Prices
58.1 points59.2 pointsMonthly
🇺🇸
Kansas Fed Composite Index
-8 points-2 pointsMonthly
🇺🇸
Kansas Fed Employment Index
1 points-2 pointsMonthly
🇺🇸
Kansas Fed Manufacturing Index
-11 points-1 pointsMonthly
🇺🇸
Kansas Fed Manufacturing Index
-13 points-6 pointsMonthly
🇺🇸
Kansas Fed Manufacturing Index
0 points7 pointsMonthly
🇺🇸
Kansas Fed Paid Prices Index
19 points18 pointsMonthly
🇺🇸
Leading Indicator
101.2 points101.7 pointsMonthly
🇺🇸
LMI Logistics Manager Index Future
66.1 points65.5 pointsMonthly
🇺🇸
LMI Storage Costs
63.6 points65.2 pointsMonthly
🇺🇸
LMI Transport Prices
61 points57.8 pointsMonthly
🇺🇸
LMI Warehouse Prices
64.5 points64.9 pointsMonthly
🇺🇸
LMI-Logistics Manager Index
56.5 points55.3 pointsMonthly
🇺🇸
Manufacturing PMI
51.6 points51.3 pointsMonthly
🇺🇸
Manufacturing Production
-0.3 %-0.6 %Monthly
🇺🇸
Manufacturing Production MoM
0.9 %-0.4 %Monthly
🇺🇸
Mining Production
-1.5 %-2.5 %Monthly
🇺🇸
New Orders
584.245 B USD587.023 B USDMonthly
🇺🇸
NFIB Business Optimism Index
90.5 points89.7 pointsMonthly
🇺🇸
NY Empire State Employment Index
-8.7 points-6.4 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
-6 points-15.6 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
-1 points-16.5 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
3.3 points-1.2 pointsMonthly
🇺🇸
NY Empire State Prices Paid Index
27.8 points29 pointsMonthly
🇺🇸
Orders for Capital Goods Excluding Defense and Aircraft
1 %-0.9 %Monthly
🇺🇸
Philadelphia Fed Manufacturing Index
1.3 points4.5 pointsMonthly
🇺🇸
Philly Fed Business Climate
56.6 points36.7 pointsMonthly
🇺🇸
Philly Fed CAPEX Index
12.1 points20.1 pointsMonthly
🇺🇸
Philly Fed Employment
-2.5 points-7.9 pointsMonthly
🇺🇸
Philly Fed New Orders
-2.2 points-7.9 pointsMonthly
🇺🇸
Philly Fed Prices Paid
22.5 points18.7 pointsMonthly
🇺🇸
PMI Non-Manufacturing Sector
53.8 points49.4 pointsMonthly
🇺🇸
Retail Inventory Excluding Autos
0.1 %0.1 %Monthly
🇺🇸
Richmond Fed Manufacturing Index
-10 points0 pointsMonthly
🇺🇸
Richmond Fed Manufacturing Shipments
-9 points13 pointsMonthly
🇺🇸
Richmond Fed Services Index
9 points3 pointsMonthly
🇺🇸
Services PMI
55.1 points54.8 pointsMonthly
🇺🇸
Soybean Grain Reserves
969 M Bushels1.845 B BushelsQuarter
🇺🇸
Steel production
6.6 M Tonnes6.7 M TonnesMonthly
🇺🇸
Total Vehicle Sales
16 M 15.8 M Monthly
🇺🇸
Vehicle Registrations
279,800 261,300 Monthly
🇺🇸
Wholesale Inventory Levels
0.6 %0.2 %Monthly

In the United States, bankruptcy is a legal process designed to address the debt issues of individuals and businesses, involving cases filed under one of the chapters of Title 11 of the United States Code (the Bankruptcy Code).

What is Bankruptcies?

Bankruptcies are a critical component of macroeconomic analysis, providing invaluable insights into the health and stability of economies around the world. Eulerpool, your trusted source for comprehensive macroeconomic data, is dedicated to offering a detailed and nuanced understanding of bankruptcies as a category within the broader economic landscape. Bankruptcy is a legal process that provides relief to individuals or corporations who are unable to repay their outstanding debts. This process serves as a vital safety mechanism within the financial system, both for debtors in distress and for creditors seeking to reclaim their assets. Bankruptcies can be driven by an array of factors, including but not limited to economic downturns, mismanagement, changing market conditions, and unforeseen crises such as pandemics or natural disasters. Each bankruptcy case provides unique data points that contribute to the global economic narrative, making this category an indispensable area of study for economists, policy makers, and financial analysts. At Eulerpool, we categorize and display bankruptcy data in a way that allows for deep macroeconomic analysis. By examining trends in bankruptcies, economists and analysts can infer a lot about the underlying economic conditions. For instance, a surge in corporate bankruptcies may indicate deteriorating business conditions, possibly triggered by a recession, while a decline in personal bankruptcies might suggest improving household financial health. Furthermore, regional and sectoral analysis of bankruptcy data may reveal stress points within specific parts of an economy, thus enabling targeted policy interventions. A crucial aspect of understanding bankruptcies from a macroeconomic perspective is the differentiation between various types of bankruptcies. In most jurisdictions, bankruptcy filings are categorized primarily as Chapter 7, Chapter 11, or Chapter 13 (or their equivalents outside the United States). Chapter 7 bankruptcy, often referred to as "liquidation bankruptcy," involves the sale of a debtor’s non-exempt assets to repay creditors. This type usually indicates severe financial distress as it often leads to a complete cessation of business operations. Chapter 11 bankruptcy, or "reorganization bankruptcy," allows a business to continue operating while restructuring its debts under court supervision. This type can provide a more optimistic outlook as it aims at enabling the debtor to eventually regain financial stability. Chapter 13 bankruptcy, known as "wage earner’s bankruptcy," enables individuals with regular income to create a plan to repay all or part of their debts within a three to five-year period. Comprehensively tracking these different types of bankruptcies provides a richer, more detailed picture of economic health. For example, in times of economic strain, an increase in Chapter 11 filings relative to Chapter 7 filings might indicate that businesses are still trying to survive and see potential for future recovery. Conversely, a sharp increase in Chapter 7 filings could signal that businesses see no viable path forward. Moreover, bankruptcy data is not only critical for understanding current economic conditions but also for forecasting future trends. Historical data on bankruptcies can be utilized to build predictive models, helping stakeholders anticipate potential economic slowdowns or recoveries. For instance, a rising trend in bankruptcies over a prolonged period may precede a broader economic downturn, offering an early warning signal for investors, businesses, and policymakers. Businesses, in particular, benefit immensely from understanding bankruptcy trends within their industries. By analyzing industry-specific bankruptcy rates, companies can gauge the competitive landscape and assess risks associated with market entry, expansion, or contraction. Moreover, during economic downturns, knowledge of bankruptcy trends can aid in crafting strategies to mitigate financial distress, such as diversifying product lines or seeking alternative financing options. From a policy perspective, monitoring bankruptcy data is essential for central banks, finance ministries, and regulatory bodies. Analyzing this data helps in formulating monetary and fiscal policies aimed at cushioning the economy during adverse periods. For example, a spike in bankruptcies might necessitate interventions such as lowering interest rates, providing stimulus packages, or implementing regulatory reforms to support struggling businesses and individuals. The implications of bankruptcy trends extend beyond pure economics into social realms as well. High rates of bankruptcies can lead to increased unemployment, reduced consumer confidence, and social instability. Therefore, macroeconomic analysis of bankruptcies also requires considering the broader socio-economic context. Policies aimed at reducing bankruptcy rates must address underlying issues such as income inequality, access to credit, and financial literacy. Furthermore, bankruptcy data is indispensable for investors. Institutional and individual investors alike scrutinize this data to make informed decisions about asset allocation and risk management. By understanding trends in bankruptcies, investors can identify sectors or regions that are more likely to face economic difficulties, allowing them to adjust their portfolios accordingly. In contrast, stable or declining bankruptcy rates might indicate robust economic conditions, presenting investment opportunities. In conclusion, the macroeconomic category of bankruptcies offers profound insights into the financial and economic health of nations, industries, and individuals. Eulerpool is committed to providing comprehensive, timely, and accurate bankruptcy data to facilitate informed decision-making for economists, businesses, policymakers, and investors. By understanding the multifaceted aspects of bankruptcies, stakeholders can better navigate the complexities of the economic environment, anticipate future trends, and implement strategies that promote stability and growth. Our platform aims to be the definitive resource for all your macroeconomic data needs, ensuring that you remain well-informed and equipped to address the challenges and opportunities within the global economy.