Bank Of Montreal Stock Net Income
| BMO Stock | CAD 192.17 1.39 0.73% |
As of the 16th of February 2026, Bank of Montreal shows the Mean Deviation of 0.9242, risk adjusted performance of 0.1187, and Downside Deviation of 1.04. Bank of Montreal technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Bank of Montreal Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 11.5795 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 5.2 B | 4 B | |
| Net Income From Continuing Ops | 5.2 B | 6 B | |
| Net Income Applicable To Common Shares | 5.2 B | 5.8 B | |
| Net Income Per Share | 10.86 | 11.40 | |
| Net Income Per E B T | 0.68 | 0.60 |
Bank | Net Income |
Evaluating Bank of Montreal's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Bank of Montreal's fundamental strength.
Latest Bank of Montreal's Net Income Growth Pattern
Below is the plot of the Net Income of Bank of Montreal over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Bank of Montreal financial statement analysis. It represents the amount of money remaining after all of Bank of Montreal operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Bank of Montreal's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bank of Montreal's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 8.72 B | 10 Years Trend |
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Net Income |
| Timeline |
Bank Net Income Regression Statistics
| Arithmetic Mean | 5,073,642,472 | |
| Geometric Mean | 4,198,843,051 | |
| Coefficient Of Variation | 60.10 | |
| Mean Deviation | 2,103,983,556 | |
| Median | 4,425,000,000 | |
| Standard Deviation | 3,049,229,084 | |
| Sample Variance | 9297798T | |
| Range | 12.7B | |
| R-Value | 0.53 | |
| Mean Square Error | 7133145.3T | |
| R-Squared | 0.28 | |
| Significance | 0.03 | |
| Slope | 319,955,530 | |
| Total Sum of Squares | 148764768.1T |
Bank Net Income History
Bank Net Income 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 Net Income. 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.
Click cells to compare fundamentals
Bank of Montreal 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bank of Montreal's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bank of Montreal.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Bank of Montreal on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Bank of Montreal or generate 0.0% return on investment in Bank of Montreal over 90 days. Bank of Montreal is related to or competes with Bank of Nova Scotia, Canadian Imperial, Toronto Dominion, National Bank, Brookfield Asset, Manulife Financial, and Toronto-Dominion. Bank of Montreal provides diversified financial services primarily in North America More
Bank of Montreal Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bank of Montreal's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Bank of Montreal upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.0801 | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 1.88 |
Bank of Montreal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of Montreal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of Montreal's standard deviation. In reality, there are many statistical measures that can use Bank of Montreal historical prices to predict the future Bank of Montreal's volatility.| Risk Adjusted Performance | 0.1187 | |||
| Jensen Alpha | 0.1113 | |||
| Total Risk Alpha | 0.0663 | |||
| Sortino Ratio | 0.0847 | |||
| Treynor Ratio | 0.2432 |
Bank of Montreal February 16, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1187 | |||
| Market Risk Adjusted Performance | 0.2532 | |||
| Mean Deviation | 0.9242 | |||
| Semi Deviation | 0.9368 | |||
| Downside Deviation | 1.04 | |||
| Coefficient Of Variation | 695.17 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.2 | |||
| Information Ratio | 0.0801 | |||
| Jensen Alpha | 0.1113 | |||
| Total Risk Alpha | 0.0663 | |||
| Sortino Ratio | 0.0847 | |||
| Treynor Ratio | 0.2432 | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 1.88 | |||
| Downside Variance | 1.07 | |||
| Semi Variance | 0.8776 | |||
| Expected Short fall | (1.08) | |||
| Skewness | (0.22) | |||
| Kurtosis | (0.78) |
Bank of Montreal Backtested Returns
Bank of Montreal appears to be very steady, given 3 months investment horizon. Bank of Montreal secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the company had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Bank of Montreal, which you can use to evaluate the volatility of the firm. Please makes use of Bank of Montreal's Mean Deviation of 0.9242, risk adjusted performance of 0.1187, and Downside Deviation of 1.04 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank of Montreal holds a performance score of 15. The firm shows a Beta (market volatility) of 0.61, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank of Montreal's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of Montreal is expected to be smaller as well. Please check Bank of Montreal's sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether Bank of Montreal's price patterns will revert.
Auto-correlation | 0.62 |
Good predictability
Bank of Montreal has good predictability. Overlapping area represents the amount of predictability between Bank of Montreal time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bank of Montreal price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Bank of Montreal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 20.84 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Bank Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Bank of Montreal reported net income of 8.72 B. This is much higher than that of the Banks sector and significantly higher than that of the Financials industry. The net income for all Canada stocks is significantly lower than that of the firm.
Bank Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Bank of Montreal's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Bank of Montreal could also be used in its relative valuation, which is a method of valuing Bank of Montreal by comparing valuation metrics of similar companies.Bank of Montreal is currently under evaluation in net income category among its peers.
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 | 0.1 | ||||
| Return On Asset | 0.0061 | ||||
| Profit Margin | 0.27 % | ||||
| Operating Margin | 0.39 % | ||||
| Current Valuation | 13.48 B | ||||
| Shares Outstanding | 708.91 M | ||||
| Shares Owned By Insiders | 0.03 % | ||||
| Shares Owned By Institutions | 54.92 % | ||||
| Number Of Shares Shorted | 9.2 M | ||||
| Price To Earning | 12.58 X | ||||
| Price To Book | 1.57 X | ||||
| Price To Sales | 4.22 X | ||||
| Revenue | 78.15 B | ||||
| Gross Profit | 32.66 B | ||||
| EBITDA | 13.73 B | ||||
| Net Income | 8.72 B | ||||
| Cash And Equivalents | 331.58 B | ||||
| Cash Per Share | 515.83 X | ||||
| Total Debt | 415.19 B | ||||
| Debt To Equity | 0.10 % | ||||
| Book Value Per Share | 122.02 X | ||||
| Cash Flow From Operations | 10.24 B | ||||
| Short Ratio | 2.58 X | ||||
| Earnings Per Share | 11.43 X | ||||
| Price To Earnings To Growth | 1.46 X | ||||
| Target Price | 188.8 | ||||
| Number Of Employees | 53.23 K | ||||
| Beta | 1.2 | ||||
| Market Capitalization | 137.65 B | ||||
| Total Asset | 1.48 T | ||||
| Retained Earnings | 47.38 B | ||||
| Annual Yield | 0.03 % | ||||
| Five Year Return | 4.10 % | ||||
| Net Asset | 1.48 T | ||||
| Last Dividend Paid | 6.44 |
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 against 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 inflation. To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.