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The current value of the Bankruptcies in Australia is 1,168 Companies. The Bankruptcies in Australia decreased to 1,168 Companies on 8/1/2024, after it was 1,238 Companies on 7/1/2024. From 1/1/1999 to 9/1/2024, the average GDP in Australia was 661.3 Companies. The all-time high was reached on 5/1/2024 with 1,249 Companies, while the lowest value was recorded on 1/1/2021 with 192 Companies.
Bankruptcies ·
3 years
5 years
10 years
25 Years
Max
Bankruptcies | |
---|---|
1/1/1999 | 217 Companies |
2/1/1999 | 457 Companies |
3/1/1999 | 482 Companies |
4/1/1999 | 338 Companies |
5/1/1999 | 377 Companies |
6/1/1999 | 429 Companies |
7/1/1999 | 345 Companies |
8/1/1999 | 343 Companies |
9/1/1999 | 469 Companies |
10/1/1999 | 229 Companies |
11/1/1999 | 341 Companies |
12/1/1999 | 287 Companies |
1/1/2000 | 238 Companies |
2/1/2000 | 367 Companies |
3/1/2000 | 420 Companies |
4/1/2000 | 318 Companies |
5/1/2000 | 423 Companies |
6/1/2000 | 425 Companies |
7/1/2000 | 403 Companies |
8/1/2000 | 386 Companies |
9/1/2000 | 337 Companies |
10/1/2000 | 632 Companies |
11/1/2000 | 573 Companies |
12/1/2000 | 400 Companies |
1/1/2001 | 341 Companies |
2/1/2001 | 543 Companies |
3/1/2001 | 620 Companies |
4/1/2001 | 499 Companies |
5/1/2001 | 605 Companies |
6/1/2001 | 628 Companies |
7/1/2001 | 581 Companies |
8/1/2001 | 574 Companies |
9/1/2001 | 619 Companies |
10/1/2001 | 669 Companies |
11/1/2001 | 551 Companies |
12/1/2001 | 404 Companies |
1/1/2002 | 309 Companies |
2/1/2002 | 573 Companies |
3/1/2002 | 589 Companies |
4/1/2002 | 480 Companies |
5/1/2002 | 524 Companies |
6/1/2002 | 538 Companies |
7/1/2002 | 523 Companies |
8/1/2002 | 546 Companies |
9/1/2002 | 545 Companies |
10/1/2002 | 610 Companies |
11/1/2002 | 565 Companies |
12/1/2002 | 406 Companies |
1/1/2003 | 305 Companies |
2/1/2003 | 590 Companies |
3/1/2003 | 636 Companies |
4/1/2003 | 629 Companies |
5/1/2003 | 623 Companies |
6/1/2003 | 613 Companies |
7/1/2003 | 620 Companies |
8/1/2003 | 536 Companies |
9/1/2003 | 562 Companies |
10/1/2003 | 561 Companies |
11/1/2003 | 500 Companies |
12/1/2003 | 486 Companies |
1/1/2004 | 275 Companies |
2/1/2004 | 576 Companies |
3/1/2004 | 683 Companies |
4/1/2004 | 585 Companies |
5/1/2004 | 585 Companies |
6/1/2004 | 580 Companies |
7/1/2004 | 576 Companies |
8/1/2004 | 563 Companies |
9/1/2004 | 582 Companies |
10/1/2004 | 520 Companies |
11/1/2004 | 572 Companies |
12/1/2004 | 521 Companies |
1/1/2005 | 308 Companies |
2/1/2005 | 574 Companies |
3/1/2005 | 588 Companies |
4/1/2005 | 555 Companies |
5/1/2005 | 624 Companies |
6/1/2005 | 641 Companies |
7/1/2005 | 604 Companies |
8/1/2005 | 675 Companies |
9/1/2005 | 729 Companies |
10/1/2005 | 681 Companies |
11/1/2005 | 705 Companies |
12/1/2005 | 593 Companies |
1/1/2006 | 375 Companies |
2/1/2006 | 723 Companies |
3/1/2006 | 750 Companies |
4/1/2006 | 561 Companies |
5/1/2006 | 704 Companies |
6/1/2006 | 718 Companies |
7/1/2006 | 614 Companies |
8/1/2006 | 744 Companies |
9/1/2006 | 634 Companies |
10/1/2006 | 623 Companies |
11/1/2006 | 653 Companies |
12/1/2006 | 638 Companies |
1/1/2007 | 347 Companies |
2/1/2007 | 651 Companies |
3/1/2007 | 729 Companies |
4/1/2007 | 498 Companies |
5/1/2007 | 723 Companies |
6/1/2007 | 633 Companies |
7/1/2007 | 747 Companies |
8/1/2007 | 732 Companies |
9/1/2007 | 557 Companies |
10/1/2007 | 633 Companies |
11/1/2007 | 673 Companies |
12/1/2007 | 598 Companies |
1/1/2008 | 372 Companies |
2/1/2008 | 706 Companies |
3/1/2008 | 668 Companies |
4/1/2008 | 680 Companies |
5/1/2008 | 780 Companies |
6/1/2008 | 761 Companies |
7/1/2008 | 843 Companies |
8/1/2008 | 765 Companies |
9/1/2008 | 867 Companies |
10/1/2008 | 847 Companies |
11/1/2008 | 1,011 Companies |
12/1/2008 | 813 Companies |
1/1/2009 | 517 Companies |
2/1/2009 | 796 Companies |
3/1/2009 | 1,095 Companies |
4/1/2009 | 810 Companies |
5/1/2009 | 829 Companies |
6/1/2009 | 812 Companies |
7/1/2009 | 876 Companies |
8/1/2009 | 733 Companies |
9/1/2009 | 744 Companies |
10/1/2009 | 772 Companies |
11/1/2009 | 747 Companies |
12/1/2009 | 706 Companies |
1/1/2010 | 473 Companies |
2/1/2010 | 827 Companies |
3/1/2010 | 904 Companies |
4/1/2010 | 737 Companies |
5/1/2010 | 914 Companies |
6/1/2010 | 848 Companies |
7/1/2010 | 866 Companies |
8/1/2010 | 870 Companies |
9/1/2010 | 766 Companies |
10/1/2010 | 774 Companies |
11/1/2010 | 838 Companies |
12/1/2010 | 784 Companies |
1/1/2011 | 455 Companies |
2/1/2011 | 852 Companies |
3/1/2011 | 968 Companies |
4/1/2011 | 812 Companies |
5/1/2011 | 817 Companies |
6/1/2011 | 1,027 Companies |
7/1/2011 | 921 Companies |
8/1/2011 | 1,049 Companies |
9/1/2011 | 991 Companies |
10/1/2011 | 843 Companies |
11/1/2011 | 983 Companies |
12/1/2011 | 763 Companies |
1/1/2012 | 518 Companies |
2/1/2012 | 1,123 Companies |
3/1/2012 | 1,014 Companies |
4/1/2012 | 869 Companies |
5/1/2012 | 884 Companies |
6/1/2012 | 799 Companies |
7/1/2012 | 930 Companies |
8/1/2012 | 996 Companies |
9/1/2012 | 881 Companies |
10/1/2012 | 991 Companies |
11/1/2012 | 897 Companies |
12/1/2012 | 730 Companies |
1/1/2013 | 628 Companies |
2/1/2013 | 960 Companies |
3/1/2013 | 918 Companies |
4/1/2013 | 941 Companies |
5/1/2013 | 974 Companies |
6/1/2013 | 900 Companies |
7/1/2013 | 1,005 Companies |
8/1/2013 | 986 Companies |
9/1/2013 | 957 Companies |
10/1/2013 | 947 Companies |
11/1/2013 | 830 Companies |
12/1/2013 | 775 Companies |
1/1/2014 | 511 Companies |
2/1/2014 | 739 Companies |
3/1/2014 | 764 Companies |
4/1/2014 | 686 Companies |
5/1/2014 | 811 Companies |
6/1/2014 | 811 Companies |
7/1/2014 | 841 Companies |
8/1/2014 | 831 Companies |
9/1/2014 | 797 Companies |
10/1/2014 | 724 Companies |
11/1/2014 | 631 Companies |
12/1/2014 | 648 Companies |
1/1/2015 | 484 Companies |
2/1/2015 | 655 Companies |
3/1/2015 | 832 Companies |
4/1/2015 | 834 Companies |
5/1/2015 | 878 Companies |
6/1/2015 | 1,022 Companies |
7/1/2015 | 944 Companies |
8/1/2015 | 925 Companies |
9/1/2015 | 1,091 Companies |
10/1/2015 | 1,000 Companies |
11/1/2015 | 872 Companies |
12/1/2015 | 627 Companies |
1/1/2016 | 461 Companies |
2/1/2016 | 804 Companies |
3/1/2016 | 841 Companies |
4/1/2016 | 793 Companies |
5/1/2016 | 735 Companies |
6/1/2016 | 755 Companies |
7/1/2016 | 771 Companies |
8/1/2016 | 812 Companies |
9/1/2016 | 716 Companies |
10/1/2016 | 677 Companies |
11/1/2016 | 636 Companies |
12/1/2016 | 504 Companies |
1/1/2017 | 396 Companies |
2/1/2017 | 576 Companies |
3/1/2017 | 745 Companies |
4/1/2017 | 590 Companies |
5/1/2017 | 792 Companies |
6/1/2017 | 816 Companies |
7/1/2017 | 719 Companies |
8/1/2017 | 741 Companies |
9/1/2017 | 627 Companies |
10/1/2017 | 606 Companies |
11/1/2017 | 669 Companies |
12/1/2017 | 534 Companies |
1/1/2018 | 461 Companies |
2/1/2018 | 645 Companies |
3/1/2018 | 707 Companies |
4/1/2018 | 619 Companies |
5/1/2018 | 750 Companies |
6/1/2018 | 669 Companies |
7/1/2018 | 764 Companies |
8/1/2018 | 783 Companies |
9/1/2018 | 635 Companies |
10/1/2018 | 742 Companies |
11/1/2018 | 705 Companies |
12/1/2018 | 564 Companies |
1/1/2019 | 470 Companies |
2/1/2019 | 629 Companies |
3/1/2019 | 718 Companies |
4/1/2019 | 615 Companies |
5/1/2019 | 772 Companies |
6/1/2019 | 708 Companies |
7/1/2019 | 846 Companies |
8/1/2019 | 778 Companies |
9/1/2019 | 685 Companies |
10/1/2019 | 741 Companies |
11/1/2019 | 748 Companies |
12/1/2019 | 614 Companies |
1/1/2020 | 397 Companies |
2/1/2020 | 667 Companies |
3/1/2020 | 683 Companies |
4/1/2020 | 410 Companies |
5/1/2020 | 429 Companies |
6/1/2020 | 364 Companies |
7/1/2020 | 373 Companies |
8/1/2020 | 275 Companies |
9/1/2020 | 298 Companies |
10/1/2020 | 279 Companies |
11/1/2020 | 306 Companies |
12/1/2020 | 462 Companies |
1/1/2021 | 192 Companies |
2/1/2021 | 342 Companies |
3/1/2021 | 439 Companies |
4/1/2021 | 389 Companies |
5/1/2021 | 431 Companies |
6/1/2021 | 449 Companies |
7/1/2021 | 425 Companies |
8/1/2021 | 353 Companies |
9/1/2021 | 314 Companies |
10/1/2021 | 326 Companies |
11/1/2021 | 432 Companies |
12/1/2021 | 419 Companies |
1/1/2022 | 263 Companies |
2/1/2022 | 353 Companies |
3/1/2022 | 464 Companies |
4/1/2022 | 463 Companies |
5/1/2022 | 560 Companies |
6/1/2022 | 540 Companies |
7/1/2022 | 715 Companies |
8/1/2022 | 692 Companies |
9/1/2022 | 643 Companies |
10/1/2022 | 473 Companies |
11/1/2022 | 655 Companies |
12/1/2022 | 625 Companies |
1/1/2023 | 359 Companies |
2/1/2023 | 692 Companies |
3/1/2023 | 830 Companies |
4/1/2023 | 606 Companies |
5/1/2023 | 866 Companies |
6/1/2023 | 786 Companies |
7/1/2023 | 855 Companies |
8/1/2023 | 918 Companies |
9/1/2023 | 722 Companies |
10/1/2023 | 907 Companies |
11/1/2023 | 891 Companies |
12/1/2023 | 795 Companies |
1/1/2024 | 555 Companies |
2/1/2024 | 968 Companies |
3/1/2024 | 1,137 Companies |
4/1/2024 | 996 Companies |
5/1/2024 | 1,249 Companies |
6/1/2024 | 1,060 Companies |
7/1/2024 | 1,238 Companies |
8/1/2024 | 1,168 Companies |
Bankruptcies History
Date | Value |
---|---|
8/1/2024 | 1,168 Companies |
7/1/2024 | 1,238 Companies |
6/1/2024 | 1,060 Companies |
5/1/2024 | 1,249 Companies |
4/1/2024 | 996 Companies |
3/1/2024 | 1,137 Companies |
2/1/2024 | 968 Companies |
1/1/2024 | 555 Companies |
12/1/2023 | 795 Companies |
11/1/2023 | 891 Companies |
Similar Macro Indicators to Bankruptcies
Name | Current | Previous | Frequency |
---|---|---|---|
🇦🇺 Business Climate | -3 points | 1 points | Monthly |
🇦🇺 Business Inventories | 1.3 % | -1.6 % | Quarter |
🇦🇺 Business Services Industry Index | 3.9 points | -0.6 points | Monthly |
🇦🇺 Capacity Utilization | 83.1 % | 83 % | Monthly |
🇦🇺 Capital expenditures for property, plant, and equipment | 3.3 % | 0.4 % | Quarter |
🇦🇺 Capital Expenditures on Construction | -0.9 % | 1.3 % | Quarter |
🇦🇺 Changes in Inventory Levels | 2.244 B AUD | -2.221 B AUD | Quarter |
🇦🇺 Composite Leading Indicator | 99.951 points | 99.817 points | Monthly |
🇦🇺 Composite PMI | 50.7 points | 52.1 points | Monthly |
🇦🇺 Construction Industry Index | -23.2 points | -68.1 points | Monthly |
🇦🇺 Corporate profits | 137.393 B AUD | 140.901 B AUD | Quarter |
🇦🇺 Industrial production | 0.5 % | 0.3 % | Quarter |
🇦🇺 Industrial Production MoM | -5.1 % | 0.4 % | Quarter |
🇦🇺 Industry Index | -18.6 points | -23.5 points | Monthly |
🇦🇺 Leading Indicator | -0.01 % | -0.03 % | Monthly |
🇦🇺 Manufacturing Industry Index | -26.5 points | -31.1 points | Monthly |
🇦🇺 Manufacturing PMI | 47.2 points | 49.7 points | Monthly |
🇦🇺 Manufacturing Production | -0.1 % | 0.8 % | Quarter |
🇦🇺 Mining Production | 0.5 % | -0.5 % | Quarter |
🇦🇺 New Orders | 7 points | 10 points | Quarter |
🇦🇺 Private Investments | -2.2 % | 1.9 % | Quarter |
🇦🇺 Services PMI | 51.2 points | 52.5 points | Monthly |
🇦🇺 Small Business Sentiment | -9.434 points | -4.088 points | Quarter |
🇦🇺 Total Vehicle Sales | 97,202 Units | 109,647 Units | Monthly |
🇦🇺 Vehicle Registrations | 14,488 Units | 15,166 Units | Monthly |
In Australia, bankruptcies pertain to insolvent corporations that are unable to fulfill their debt obligations to creditors and continue their operations.
Macro pages for other countries in Australia
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.