Bank Of Montreal Stock Current Liabilities
| BMO Stock | CAD 133.30 0.09 0.07% |
Bank of Montreal fundamentals help investors to digest information that contributes to Bank of Montreal's financial success or failures. It also enables traders to predict the movement of Bank Stock. The fundamental analysis module provides a way to measure Bank of Montreal's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Bank of Montreal stock.
As of the 28th of November 2024, Non Current Liabilities Total is likely to grow to about 690.8 B. Also, Total Current Liabilities is likely to grow to about 806.6 B. Bank | Current Liabilities |
Bank of Montreal Company Current Liabilities Analysis
Bank of Montreal's Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.
Bank Current Liabilities Driver Correlations
Understanding the fundamental principles of building solid financial models for Bank of Montreal is extremely important. It helps to project a fair market value of Bank Stock properly, considering its historical fundamentals such as Current Liabilities. Since Bank of Montreal's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Bank of Montreal's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Bank of Montreal's interrelated accounts and indicators.
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Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
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Bank Liabilities And Stockholders Equity
Liabilities And Stockholders Equity |
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In accordance with the recently published financial statements, Bank of Montreal has a Current Liabilities of 0.0. This is 100.0% lower than that of the Banks sector and about the same as Financials (which currently averages 0.0) industry. The current liabilities for all Canada stocks is 100.0% higher than that of the company.
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Bank of Montreal ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Bank of Montreal's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Bank of Montreal's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
Bank Fundamentals
| Return On Equity | 0.0849 | ||||
| Return On Asset | 0.005 | ||||
| Profit Margin | 0.21 % | ||||
| Operating Margin | 0.37 % | ||||
| Current Valuation | (77.86 B) | ||||
| Shares Outstanding | 729.41 M | ||||
| Shares Owned By Insiders | 0.02 % | ||||
| Shares Owned By Institutions | 53.36 % | ||||
| Number Of Shares Shorted | 15.59 M | ||||
| Price To Earning | 12.58 X | ||||
| Price To Book | 1.20 X | ||||
| Price To Sales | 3.09 X | ||||
| Revenue | 29.02 B | ||||
| Gross Profit | 33.38 B | ||||
| EBITDA | 7.71 B | ||||
| Net Income | 4.37 B | ||||
| Cash And Equivalents | 331.58 B | ||||
| Cash Per Share | 515.83 X | ||||
| Total Debt | 248.74 B | ||||
| Debt To Equity | 0.10 % | ||||
| Book Value Per Share | 105.41 X | ||||
| Cash Flow From Operations | 9.59 B | ||||
| Short Ratio | 3.99 X | ||||
| Earnings Per Share | 8.69 X | ||||
| Price To Earnings To Growth | 0.62 X | ||||
| Target Price | 135.54 | ||||
| Number Of Employees | 55.77 K | ||||
| Beta | 1.16 | ||||
| Market Capitalization | 97.17 B | ||||
| Total Asset | 1.29 T | ||||
| Retained Earnings | 44.92 B | ||||
| Annual Yield | 0.05 % | ||||
| Five Year Return | 4.10 % | ||||
| Net Asset | 1.29 T | ||||
| Last Dividend Paid | 6.04 |
About Bank of Montreal Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of Montreal's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of Montreal using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of Montreal based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Bank of Montreal
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of Montreal position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of Montreal will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Stock
The ability to find closely correlated positions to Bank of Montreal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of Montreal when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of Montreal - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of Montreal to buy it.
The correlation of Bank of Montreal is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of Montreal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of Montreal moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of Montreal can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of Montreal. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.