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The current value of the Bankruptcies in Lithuania is 218 Companies. The Bankruptcies in Lithuania decreased to 218 Companies on 12/1/2023, after it was 220 Companies on 9/1/2023. From 3/1/2005 to 3/1/2024, the average GDP in Lithuania was 360.55 Companies. The all-time high was reached on 3/1/2017 with 898 Companies, while the lowest value was recorded on 9/1/2007 with 113 Companies.
Bankruptcies ·
3 years
5 years
10 years
25 Years
Max
Bankruptcies | |
---|---|
3/1/2005 | 201 Companies |
6/1/2005 | 207 Companies |
9/1/2005 | 170 Companies |
12/1/2005 | 195 Companies |
3/1/2006 | 185 Companies |
6/1/2006 | 222 Companies |
9/1/2006 | 171 Companies |
12/1/2006 | 181 Companies |
3/1/2007 | 151 Companies |
6/1/2007 | 164 Companies |
9/1/2007 | 113 Companies |
12/1/2007 | 178 Companies |
3/1/2008 | 215 Companies |
6/1/2008 | 222 Companies |
9/1/2008 | 228 Companies |
12/1/2008 | 292 Companies |
3/1/2009 | 463 Companies |
6/1/2009 | 524 Companies |
9/1/2009 | 409 Companies |
12/1/2009 | 448 Companies |
3/1/2010 | 414 Companies |
6/1/2010 | 428 Companies |
9/1/2010 | 396 Companies |
12/1/2010 | 399 Companies |
3/1/2011 | 352 Companies |
6/1/2011 | 324 Companies |
9/1/2011 | 301 Companies |
12/1/2011 | 297 Companies |
3/1/2012 | 314 Companies |
6/1/2012 | 321 Companies |
9/1/2012 | 354 Companies |
12/1/2012 | 412 Companies |
3/1/2013 | 383 Companies |
6/1/2013 | 384 Companies |
9/1/2013 | 378 Companies |
12/1/2013 | 409 Companies |
3/1/2014 | 427 Companies |
6/1/2014 | 392 Companies |
9/1/2014 | 385 Companies |
12/1/2014 | 482 Companies |
3/1/2015 | 487 Companies |
6/1/2015 | 480 Companies |
9/1/2015 | 564 Companies |
12/1/2015 | 455 Companies |
3/1/2016 | 587 Companies |
6/1/2016 | 712 Companies |
9/1/2016 | 665 Companies |
12/1/2016 | 777 Companies |
3/1/2017 | 898 Companies |
6/1/2017 | 797 Companies |
9/1/2017 | 643 Companies |
12/1/2017 | 641 Companies |
3/1/2018 | 531 Companies |
6/1/2018 | 599 Companies |
9/1/2018 | 495 Companies |
12/1/2018 | 466 Companies |
3/1/2019 | 397 Companies |
6/1/2019 | 462 Companies |
9/1/2019 | 359 Companies |
12/1/2019 | 390 Companies |
3/1/2020 | 299 Companies |
6/1/2020 | 194 Companies |
9/1/2020 | 128 Companies |
12/1/2020 | 165 Companies |
3/1/2021 | 154 Companies |
6/1/2021 | 184 Companies |
9/1/2021 | 195 Companies |
12/1/2021 | 205 Companies |
3/1/2022 | 312 Companies |
6/1/2022 | 274 Companies |
9/1/2022 | 257 Companies |
12/1/2022 | 198 Companies |
3/1/2023 | 316 Companies |
6/1/2023 | 283 Companies |
9/1/2023 | 220 Companies |
12/1/2023 | 218 Companies |
Bankruptcies History
Date | Value |
---|---|
12/1/2023 | 218 Companies |
9/1/2023 | 220 Companies |
6/1/2023 | 283 Companies |
3/1/2023 | 316 Companies |
12/1/2022 | 198 Companies |
9/1/2022 | 257 Companies |
6/1/2022 | 274 Companies |
3/1/2022 | 312 Companies |
12/1/2021 | 205 Companies |
9/1/2021 | 195 Companies |
Similar Macro Indicators to Bankruptcies
Name | Current | Previous | Frequency |
---|---|---|---|
🇱🇹 Business Climate | -7.6 points | -5.8 points | Monthly |
🇱🇹 Capacity Utilization | 70.7 % | 68.6 % | Quarter |
🇱🇹 Changes in Inventory Levels | -1.354 B EUR | -1.353 B EUR | Quarter |
🇱🇹 Electric Vehicle Registrations | 112 Units | 167 Units | Monthly |
🇱🇹 Electricity Production | 418.332 Gigawatt-hour | 523.961 Gigawatt-hour | Monthly |
🇱🇹 Industrial production | -4.5 % | 5 % | Monthly |
🇱🇹 Industrial Production MoM | -2.1 % | -1.2 % | Monthly |
🇱🇹 Manufacturing Production | 1.8 % | 6.9 % | Monthly |
🇱🇹 Mining Production | -1.9 % | 11.9 % | Monthly |
🇱🇹 Vehicle Registrations | 2,803 Units | 2,843 Units | Monthly |
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇩🇪Germany
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇬🇧United Kingdom
- 🇦🇩Andorra
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.