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The current value of the Bankruptcies in Canada is 339 Companies. The Bankruptcies in Canada decreased to 339 Companies on 7/1/2024, after it was 351 Companies on 6/1/2024. From 1/1/2004 to 8/1/2024, the average GDP in Canada was 344.48 Companies. The all-time high was reached on 3/1/2004 with 872 Companies, while the lowest value was recorded on 4/1/2020 with 108 Companies.
Bankruptcies ·
3 years
5 years
10 years
25 Years
Max
Bankruptcies | |
---|---|
1/1/2004 | 668 Companies |
2/1/2004 | 768 Companies |
3/1/2004 | 872 Companies |
4/1/2004 | 715 Companies |
5/1/2004 | 625 Companies |
6/1/2004 | 708 Companies |
7/1/2004 | 618 Companies |
8/1/2004 | 595 Companies |
9/1/2004 | 583 Companies |
10/1/2004 | 620 Companies |
11/1/2004 | 680 Companies |
12/1/2004 | 666 Companies |
1/1/2005 | 598 Companies |
2/1/2005 | 736 Companies |
3/1/2005 | 788 Companies |
4/1/2005 | 705 Companies |
5/1/2005 | 688 Companies |
6/1/2005 | 625 Companies |
7/1/2005 | 518 Companies |
8/1/2005 | 553 Companies |
9/1/2005 | 580 Companies |
10/1/2005 | 584 Companies |
11/1/2005 | 581 Companies |
12/1/2005 | 561 Companies |
1/1/2006 | 624 Companies |
2/1/2006 | 589 Companies |
3/1/2006 | 678 Companies |
4/1/2006 | 553 Companies |
5/1/2006 | 637 Companies |
6/1/2006 | 611 Companies |
7/1/2006 | 445 Companies |
8/1/2006 | 467 Companies |
9/1/2006 | 501 Companies |
10/1/2006 | 588 Companies |
11/1/2006 | 544 Companies |
12/1/2006 | 505 Companies |
1/1/2007 | 530 Companies |
2/1/2007 | 599 Companies |
3/1/2007 | 615 Companies |
4/1/2007 | 542 Companies |
5/1/2007 | 532 Companies |
6/1/2007 | 530 Companies |
7/1/2007 | 487 Companies |
8/1/2007 | 501 Companies |
9/1/2007 | 449 Companies |
10/1/2007 | 513 Companies |
11/1/2007 | 528 Companies |
12/1/2007 | 467 Companies |
1/1/2008 | 525 Companies |
2/1/2008 | 569 Companies |
3/1/2008 | 565 Companies |
4/1/2008 | 592 Companies |
5/1/2008 | 554 Companies |
6/1/2008 | 465 Companies |
7/1/2008 | 456 Companies |
8/1/2008 | 469 Companies |
9/1/2008 | 489 Companies |
10/1/2008 | 496 Companies |
11/1/2008 | 506 Companies |
12/1/2008 | 478 Companies |
1/1/2009 | 448 Companies |
2/1/2009 | 475 Companies |
3/1/2009 | 507 Companies |
4/1/2009 | 529 Companies |
5/1/2009 | 464 Companies |
6/1/2009 | 515 Companies |
7/1/2009 | 432 Companies |
8/1/2009 | 370 Companies |
9/1/2009 | 487 Companies |
10/1/2009 | 429 Companies |
11/1/2009 | 396 Companies |
12/1/2009 | 368 Companies |
1/1/2010 | 354 Companies |
2/1/2010 | 346 Companies |
3/1/2010 | 403 Companies |
4/1/2010 | 435 Companies |
5/1/2010 | 318 Companies |
6/1/2010 | 353 Companies |
7/1/2010 | 294 Companies |
8/1/2010 | 289 Companies |
9/1/2010 | 294 Companies |
10/1/2010 | 292 Companies |
11/1/2010 | 335 Companies |
12/1/2010 | 359 Companies |
1/1/2011 | 284 Companies |
2/1/2011 | 287 Companies |
3/1/2011 | 399 Companies |
4/1/2011 | 318 Companies |
5/1/2011 | 315 Companies |
6/1/2011 | 324 Companies |
7/1/2011 | 219 Companies |
8/1/2011 | 297 Companies |
9/1/2011 | 300 Companies |
10/1/2011 | 301 Companies |
11/1/2011 | 308 Companies |
12/1/2011 | 291 Companies |
1/1/2012 | 275 Companies |
2/1/2012 | 304 Companies |
3/1/2012 | 304 Companies |
4/1/2012 | 276 Companies |
5/1/2012 | 284 Companies |
6/1/2012 | 263 Companies |
7/1/2012 | 247 Companies |
8/1/2012 | 244 Companies |
9/1/2012 | 263 Companies |
10/1/2012 | 241 Companies |
11/1/2012 | 280 Companies |
12/1/2012 | 255 Companies |
1/1/2013 | 240 Companies |
2/1/2013 | 278 Companies |
3/1/2013 | 288 Companies |
4/1/2013 | 300 Companies |
5/1/2013 | 287 Companies |
6/1/2013 | 230 Companies |
7/1/2013 | 247 Companies |
8/1/2013 | 256 Companies |
9/1/2013 | 254 Companies |
10/1/2013 | 282 Companies |
11/1/2013 | 245 Companies |
12/1/2013 | 280 Companies |
1/1/2014 | 247 Companies |
2/1/2014 | 247 Companies |
3/1/2014 | 281 Companies |
4/1/2014 | 297 Companies |
5/1/2014 | 274 Companies |
6/1/2014 | 234 Companies |
7/1/2014 | 245 Companies |
8/1/2014 | 227 Companies |
9/1/2014 | 250 Companies |
10/1/2014 | 310 Companies |
11/1/2014 | 263 Companies |
12/1/2014 | 241 Companies |
1/1/2015 | 229 Companies |
2/1/2015 | 257 Companies |
3/1/2015 | 309 Companies |
4/1/2015 | 283 Companies |
5/1/2015 | 235 Companies |
6/1/2015 | 268 Companies |
7/1/2015 | 241 Companies |
8/1/2015 | 200 Companies |
9/1/2015 | 272 Companies |
10/1/2015 | 240 Companies |
11/1/2015 | 283 Companies |
12/1/2015 | 272 Companies |
1/1/2016 | 217 Companies |
2/1/2016 | 273 Companies |
3/1/2016 | 293 Companies |
4/1/2016 | 247 Companies |
5/1/2016 | 248 Companies |
6/1/2016 | 261 Companies |
7/1/2016 | 197 Companies |
8/1/2016 | 221 Companies |
9/1/2016 | 224 Companies |
10/1/2016 | 231 Companies |
11/1/2016 | 229 Companies |
12/1/2016 | 243 Companies |
1/1/2017 | 177 Companies |
2/1/2017 | 229 Companies |
3/1/2017 | 276 Companies |
4/1/2017 | 239 Companies |
5/1/2017 | 284 Companies |
6/1/2017 | 226 Companies |
7/1/2017 | 197 Companies |
8/1/2017 | 208 Companies |
9/1/2017 | 180 Companies |
10/1/2017 | 250 Companies |
11/1/2017 | 222 Companies |
12/1/2017 | 212 Companies |
1/1/2018 | 191 Companies |
2/1/2018 | 255 Companies |
3/1/2018 | 254 Companies |
4/1/2018 | 239 Companies |
5/1/2018 | 221 Companies |
6/1/2018 | 196 Companies |
7/1/2018 | 190 Companies |
8/1/2018 | 209 Companies |
9/1/2018 | 210 Companies |
10/1/2018 | 240 Companies |
11/1/2018 | 237 Companies |
12/1/2018 | 235 Companies |
1/1/2019 | 227 Companies |
2/1/2019 | 245 Companies |
3/1/2019 | 281 Companies |
4/1/2019 | 278 Companies |
5/1/2019 | 236 Companies |
6/1/2019 | 212 Companies |
7/1/2019 | 250 Companies |
8/1/2019 | 177 Companies |
9/1/2019 | 190 Companies |
10/1/2019 | 218 Companies |
11/1/2019 | 218 Companies |
12/1/2019 | 214 Companies |
1/1/2020 | 222 Companies |
2/1/2020 | 233 Companies |
3/1/2020 | 175 Companies |
4/1/2020 | 108 Companies |
5/1/2020 | 152 Companies |
6/1/2020 | 191 Companies |
7/1/2020 | 177 Companies |
8/1/2020 | 138 Companies |
9/1/2020 | 188 Companies |
10/1/2020 | 178 Companies |
11/1/2020 | 165 Companies |
12/1/2020 | 181 Companies |
1/1/2021 | 129 Companies |
2/1/2021 | 157 Companies |
3/1/2021 | 185 Companies |
4/1/2021 | 148 Companies |
5/1/2021 | 155 Companies |
6/1/2021 | 173 Companies |
7/1/2021 | 124 Companies |
8/1/2021 | 137 Companies |
9/1/2021 | 155 Companies |
10/1/2021 | 188 Companies |
11/1/2021 | 179 Companies |
12/1/2021 | 212 Companies |
1/1/2022 | 178 Companies |
2/1/2022 | 199 Companies |
3/1/2022 | 239 Companies |
4/1/2022 | 196 Companies |
5/1/2022 | 185 Companies |
6/1/2022 | 242 Companies |
7/1/2022 | 186 Companies |
8/1/2022 | 223 Companies |
9/1/2022 | 206 Companies |
10/1/2022 | 238 Companies |
11/1/2022 | 275 Companies |
12/1/2022 | 254 Companies |
1/1/2023 | 263 Companies |
2/1/2023 | 234 Companies |
3/1/2023 | 331 Companies |
4/1/2023 | 255 Companies |
5/1/2023 | 283 Companies |
6/1/2023 | 287 Companies |
7/1/2023 | 248 Companies |
8/1/2023 | 290 Companies |
9/1/2023 | 308 Companies |
10/1/2023 | 373 Companies |
11/1/2023 | 384 Companies |
12/1/2023 | 446 Companies |
1/1/2024 | 625 Companies |
2/1/2024 | 532 Companies |
3/1/2024 | 442 Companies |
4/1/2024 | 432 Companies |
5/1/2024 | 416 Companies |
6/1/2024 | 351 Companies |
7/1/2024 | 339 Companies |
Bankruptcies History
Date | Value |
---|---|
7/1/2024 | 339 Companies |
6/1/2024 | 351 Companies |
5/1/2024 | 416 Companies |
4/1/2024 | 432 Companies |
3/1/2024 | 442 Companies |
2/1/2024 | 532 Companies |
1/1/2024 | 625 Companies |
12/1/2023 | 446 Companies |
11/1/2023 | 384 Companies |
10/1/2023 | 373 Companies |
Similar Macro Indicators to Bankruptcies
Name | Current | Previous | Frequency |
---|---|---|---|
🇨🇦 Business Climate | 52 points | 63 points | Monthly |
🇨🇦 Business Climate Indicator | -2.31 points | -2.88 points | Quarter |
🇨🇦 Capacity Utilization | 79.1 % | 78.6 % | Quarter |
🇨🇦 Changes in Inventory Levels | 25.669 B CAD | 25.393 B CAD | Quarter |
🇨🇦 Composite Leading Indicator | 99.314 points | 99.141 points | Monthly |
🇨🇦 Composite PMI | 50.6 points | 49.3 points | Monthly |
🇨🇦 Corporate profits | 140.514 B CAD | 141.034 B CAD | Quarter |
🇨🇦 Electric Vehicle Registrations | 8,191 Units | 10,243 Units | Quarter |
🇨🇦 Industrial production | 0 % | -0.4 % | Monthly |
🇨🇦 Industrial Production MoM | -0.04 % | 0.24 % | Monthly |
🇨🇦 Manufacturing PMI | 49.3 points | 49.3 points | Monthly |
🇨🇦 Manufacturing Production | -2.5 % | -3.5 % | Monthly |
🇨🇦 Manufacturing Sales | 0.2 % | 1.1 % | Monthly |
🇨🇦 Mining Production | 3 % | 6.1 % | Monthly |
🇨🇦 New Orders | 68.712 B CAD | 70.407 B CAD | Monthly |
🇨🇦 Services PMI | 51.1 points | 49.3 points | Monthly |
🇨🇦 Small Business Sentiment | 56.3 points | 56.6 points | Monthly |
🇨🇦 Vehicle Registrations | 168,620 Units | 169,327 Units | Monthly |
🇨🇦 Wholesale Sales | -0.9 % | 2.4 % | Monthly |
In Canada, bankruptcies pertain to insolvent corporations that are unable to fulfill their debt obligations to creditors and continue their business operations.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
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- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
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- 🇭🇹Haiti
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- 🇳🇮Nicaragua
- 🇵🇦Panama
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- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇸United States
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
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.