Maple Leaf Foods Stock Net Income
| MFI Stock | CAD 27.36 0.49 1.82% |
As of the 10th of February, Maple Leaf secures the Downside Deviation of 1.28, risk adjusted performance of 0.1178, and Mean Deviation of 1.09. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Maple Leaf Foods, as well as the relationship between them.
Maple Leaf Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 0.9419 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 111.1 M | 87.6 M | |
| Net Income From Continuing Ops | 111.1 M | 116.6 M | |
| Net Income Applicable To Common Shares | 86.9 M | 109.7 M | |
| Net Income Per Share | 0.71 | 0.53 | |
| Net Income Per E B T | 0.62 | 0.65 |
Maple | Net Income |
Evaluating Maple Leaf'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 Maple Leaf Foods's fundamental strength.
Latest Maple Leaf's Net Income Growth Pattern
Below is the plot of the Net Income of Maple Leaf Foods over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Maple Leaf Foods financial statement analysis. It represents the amount of money remaining after all of Maple Leaf Foods operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Maple Leaf's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Maple Leaf's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 96.6 M | 10 Years Trend |
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Net Income |
| Timeline |
Maple Net Income Regression Statistics
| Arithmetic Mean | 116,415,570 | |
| Coefficient Of Variation | 189.79 | |
| Mean Deviation | 127,808,202 | |
| Median | 96,599,000 | |
| Standard Deviation | 220,940,495 | |
| Sample Variance | 48814.7T | |
| Range | 1B | |
| R-Value | (0.33) | |
| Mean Square Error | 46413.3T | |
| R-Squared | 0.11 | |
| Significance | 0.20 | |
| Slope | (14,419,763) | |
| Total Sum of Squares | 781035.2T |
Maple Net Income History
Maple Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Maple Leaf is extremely important. It helps to project a fair market value of Maple Stock properly, considering its historical fundamentals such as Net Income. Since Maple Leaf'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 Maple Leaf'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 Maple Leaf's interrelated accounts and indicators.
Click cells to compare fundamentals
Maple Leaf '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 Maple Leaf'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 Maple Leaf.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Maple Leaf on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Maple Leaf Foods or generate 0.0% return on investment in Maple Leaf over 90 days. Maple Leaf is related to or competes with Premium Brands, Jamieson Wellness, North West, High Liner, Lassonde Industries, Burcon NutraScience, and SunOpta. Maple Leaf Foods Inc. operates as a consumer protein company More
Maple Leaf 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 Maple Leaf'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 Maple Leaf Foods upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.28 | |||
| Information Ratio | 0.0714 | |||
| Maximum Drawdown | 5.97 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.43 |
Maple Leaf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Maple Leaf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Maple Leaf's standard deviation. In reality, there are many statistical measures that can use Maple Leaf historical prices to predict the future Maple Leaf's volatility.| Risk Adjusted Performance | 0.1178 | |||
| Jensen Alpha | 0.2022 | |||
| Total Risk Alpha | 0.0341 | |||
| Sortino Ratio | 0.0779 | |||
| Treynor Ratio | (1.19) |
Maple Leaf February 10, 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 | 0.1178 | |||
| Market Risk Adjusted Performance | (1.18) | |||
| Mean Deviation | 1.09 | |||
| Semi Deviation | 1.1 | |||
| Downside Deviation | 1.28 | |||
| Coefficient Of Variation | 706.21 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.96 | |||
| Information Ratio | 0.0714 | |||
| Jensen Alpha | 0.2022 | |||
| Total Risk Alpha | 0.0341 | |||
| Sortino Ratio | 0.0779 | |||
| Treynor Ratio | (1.19) | |||
| Maximum Drawdown | 5.97 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.43 | |||
| Downside Variance | 1.65 | |||
| Semi Variance | 1.22 | |||
| Expected Short fall | (1.28) | |||
| Skewness | (0.17) | |||
| Kurtosis | 1.09 |
Maple Leaf Foods Backtested Returns
Maple Leaf appears to be very steady, given 3 months investment horizon. Maple Leaf Foods has Sharpe Ratio of 0.22, which conveys that the firm had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Maple Leaf, which you can use to evaluate the volatility of the firm. Please exercise Maple Leaf's Mean Deviation of 1.09, risk adjusted performance of 0.1178, and Downside Deviation of 1.28 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Maple Leaf holds a performance score of 17. The company secures a Beta (Market Risk) of -0.16, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Maple Leaf are expected to decrease at a much lower rate. During the bear market, Maple Leaf is likely to outperform the market. Please check Maple Leaf's expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to make a quick decision on whether Maple Leaf's current price movements will revert.
Auto-correlation | 0.42 |
Average predictability
Maple Leaf Foods has average predictability. Overlapping area represents the amount of predictability between Maple Leaf time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 Maple Leaf Foods price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Maple Leaf price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.57 |
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 |
Maple Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Maple Leaf Foods reported net income of 96.6 M. This is 91.26% lower than that of the Food Products sector and 198.83% lower than that of the Consumer Staples industry. The net income for all Canada stocks is 83.08% higher than that of the company.
Maple Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Maple Leaf'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 Maple Leaf could also be used in its relative valuation, which is a method of valuing Maple Leaf by comparing valuation metrics of similar companies.Maple Leaf is currently under evaluation in net income category among its peers.
Maple Fundamentals
| Return On Equity | 0.12 | ||||
| Return On Asset | 0.0546 | ||||
| Profit Margin | 0.04 % | ||||
| Operating Margin | 0.06 % | ||||
| Current Valuation | 4.8 B | ||||
| Shares Outstanding | 124.73 M | ||||
| Shares Owned By Insiders | 39.00 % | ||||
| Shares Owned By Institutions | 26.09 % | ||||
| Number Of Shares Shorted | 1.67 M | ||||
| Price To Earning | 29.58 X | ||||
| Price To Book | 2.05 X | ||||
| Price To Sales | 0.67 X | ||||
| Revenue | 4.9 B | ||||
| Gross Profit | 870.47 M | ||||
| EBITDA | 561.19 M | ||||
| Net Income | 96.6 M | ||||
| Cash And Equivalents | 175.91 M | ||||
| Cash Per Share | 1.45 X | ||||
| Total Debt | 1.88 B | ||||
| Debt To Equity | 0.51 % | ||||
| Current Ratio | 1.67 X | ||||
| Book Value Per Share | 13.13 X | ||||
| Cash Flow From Operations | 464.92 M | ||||
| Short Ratio | 4.55 X | ||||
| Earnings Per Share | 1.58 X | ||||
| Price To Earnings To Growth | 1.59 X | ||||
| Target Price | 34.0 | ||||
| Number Of Employees | 13.5 K | ||||
| Beta | 0.95 | ||||
| Market Capitalization | 3.41 B | ||||
| Total Asset | 4.43 B | ||||
| Retained Earnings | 587.39 M | ||||
| Working Capital | 223.04 M | ||||
| Current Asset | 830.56 M | ||||
| Current Liabilities | 329.12 M | ||||
| Annual Yield | 0.03 % | ||||
| Five Year Return | 1.60 % | ||||
| Net Asset | 4.43 B | ||||
| Last Dividend Paid | 0.94 |
About Maple Leaf Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Maple Leaf Foods's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Maple Leaf using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Maple Leaf Foods 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 Maple Leaf
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 Maple Leaf 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 Maple Leaf will appreciate offsetting losses from the drop in the long position's value.Moving together with Maple Stock
| 0.86 | BNP | BNP Paribas CDR | PairCorr |
| 0.68 | MS | Morgan Stanley CDR | PairCorr |
| 0.77 | RY | Royal Bank | PairCorr |
| 0.8 | TD | Toronto Dominion Bank | PairCorr |
Moving against Maple Stock
The ability to find closely correlated positions to Maple Leaf could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Maple Leaf 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 Maple Leaf - 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 Maple Leaf Foods to buy it.
The correlation of Maple Leaf 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 Maple Leaf moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Maple Leaf Foods 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 Maple Leaf 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.Other Information on Investing in Maple Stock
Maple Leaf financial ratios help investors to determine whether Maple Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Maple with respect to the benefits of owning Maple Leaf security.