Automotive Properties Real Stock Net Income
| APR-UN Stock | CAD 11.26 0.12 1.05% |
As of the 11th of February 2026, Automotive Properties shows the Downside Deviation of 0.5222, mean deviation of 0.3903, and Risk Adjusted Performance of 0.1699. Automotive Properties 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.
Automotive Properties Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 12.7937 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 82.8 M | 86.9 M | |
| Net Income From Continuing Ops | 82.8 M | 44.5 M | |
| Net Income Applicable To Common Shares | 95.9 M | 100.7 M | |
| Net Income Per Share | 1.32 | 0.90 | |
| Net Income Per E B T | 1.29 | 1.36 |
Automotive | Net Income |
Analyzing Automotive Properties's Net Income over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Net Income has evolved provides context for assessing Automotive Properties's current valuation and future prospects.
Latest Automotive Properties' Net Income Growth Pattern
Below is the plot of the Net Income of Automotive Properties Real over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Automotive Properties financial statement analysis. It represents the amount of money remaining after all of Automotive Properties Real operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Automotive Properties' Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Automotive Properties' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 72 M | 10 Years Trend |
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Net Income |
| Timeline |
Automotive Net Income Regression Statistics
| Arithmetic Mean | 36,910,433 | |
| Geometric Mean | 16,006,054 | |
| Coefficient Of Variation | 119.24 | |
| Mean Deviation | 37,125,333 | |
| Median | 17,625,000 | |
| Standard Deviation | 44,013,509 | |
| Sample Variance | 1937.2T | |
| Range | 127.8M | |
| R-Value | 0.74 | |
| Mean Square Error | 927.8T | |
| R-Squared | 0.55 | |
| Significance | 0.0006 | |
| Slope | 6,469,764 | |
| Total Sum of Squares | 30995T |
Automotive Net Income History
Automotive Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Automotive Properties is extremely important. It helps to project a fair market value of Automotive Stock properly, considering its historical fundamentals such as Net Income. Since Automotive Properties' 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 Automotive Properties' 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 Automotive Properties' interrelated accounts and indicators.
Click cells to compare fundamentals
Automotive Properties '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 Automotive Properties' 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 Automotive Properties.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Automotive Properties on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Automotive Properties Real or generate 0.0% return on investment in Automotive Properties over 90 days. Automotive Properties is related to or competes with Nexus Real, Wells Fargo, Plaza Retail, Artis Real, Morguard North, Pro Real, and BSR Real. Automotive Properties REIT is an unincorporated, open-ended real estate investment trust focused on owning and acquiring... More
Automotive Properties 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 Automotive Properties' 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 Automotive Properties Real upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5222 | |||
| Information Ratio | 0.0192 | |||
| Maximum Drawdown | 2.54 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.9425 |
Automotive Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automotive Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Automotive Properties' standard deviation. In reality, there are many statistical measures that can use Automotive Properties historical prices to predict the future Automotive Properties' volatility.| Risk Adjusted Performance | 0.1699 | |||
| Jensen Alpha | 0.095 | |||
| Total Risk Alpha | 0.0429 | |||
| Sortino Ratio | 0.0188 | |||
| Treynor Ratio | 1.18 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automotive Properties' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Automotive Properties February 11, 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 | 0.1699 | |||
| Market Risk Adjusted Performance | 1.19 | |||
| Mean Deviation | 0.3903 | |||
| Semi Deviation | 0.2105 | |||
| Downside Deviation | 0.5222 | |||
| Coefficient Of Variation | 451.86 | |||
| Standard Deviation | 0.5116 | |||
| Variance | 0.2618 | |||
| Information Ratio | 0.0192 | |||
| Jensen Alpha | 0.095 | |||
| Total Risk Alpha | 0.0429 | |||
| Sortino Ratio | 0.0188 | |||
| Treynor Ratio | 1.18 | |||
| Maximum Drawdown | 2.54 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.9425 | |||
| Downside Variance | 0.2727 | |||
| Semi Variance | 0.0443 | |||
| Expected Short fall | (0.47) | |||
| Skewness | 0.1131 | |||
| Kurtosis | 0.356 |
Automotive Properties Backtested Returns
At this point, Automotive Properties is very steady. Automotive Properties secures Sharpe Ratio (or Efficiency) of 0.24, which signifies that the company had a 0.24 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Automotive Properties Real, which you can use to evaluate the volatility of the firm. Please confirm Automotive Properties' Risk Adjusted Performance of 0.1699, downside deviation of 0.5222, and Mean Deviation of 0.3903 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. Automotive Properties has a performance score of 19 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0877, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Automotive Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Automotive Properties is expected to be smaller as well. Automotive Properties right now shows a risk of 0.49%. Please confirm Automotive Properties semi variance, and the relationship between the maximum drawdown and accumulation distribution , to decide if Automotive Properties will be following its price patterns.
Auto-correlation | 0.71 |
Good predictability
Automotive Properties Real has good predictability. Overlapping area represents the amount of predictability between Automotive Properties time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th 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 Automotive Properties price movement. The serial correlation of 0.71 indicates that around 71.0% of current Automotive Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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 |
Automotive Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Automotive Properties Real reported net income of 72 M. This is 71.09% lower than that of the Diversified REITs sector and 14.52% lower than that of the Real Estate industry. The net income for all Canada stocks is 87.39% higher than that of the company.
Automotive Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Automotive Properties' 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 Automotive Properties could also be used in its relative valuation, which is a method of valuing Automotive Properties by comparing valuation metrics of similar companies.Automotive Properties is currently under evaluation in net income category among its peers.
Automotive Properties Current Valuation Drivers
We derive many important indicators used in calculating different scores of Automotive Properties from analyzing Automotive Properties' financial statements. These drivers represent accounts that assess Automotive Properties' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Automotive Properties' important valuation drivers and their relationship over time.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Market Cap | 729.4M | 636.0M | 528.8M | 534.6M | 481.1M | 408.2M | |
| Enterprise Value | 1.1B | 1.1B | 1.1B | 1.0B | 932.8M | 759.2M |
Automotive Fundamentals
| Return On Equity | 0.0628 | ||||
| Return On Asset | 0.0369 | ||||
| Profit Margin | 0.43 % | ||||
| Operating Margin | 0.77 % | ||||
| Current Valuation | 1.25 B | ||||
| Shares Outstanding | 54.26 M | ||||
| Shares Owned By Insiders | 49.01 % | ||||
| Shares Owned By Institutions | 2.12 % | ||||
| Number Of Shares Shorted | 111.13 K | ||||
| Price To Earning | 31.48 X | ||||
| Price To Book | 0.93 X | ||||
| Price To Sales | 6.44 X | ||||
| Revenue | 93.88 M | ||||
| Gross Profit | 81.97 M | ||||
| EBITDA | 96.78 M | ||||
| Net Income | 72 M | ||||
| Cash And Equivalents | 30.16 M | ||||
| Cash Per Share | 1.01 X | ||||
| Total Debt | 502.24 M | ||||
| Debt To Equity | 139.60 % | ||||
| Current Ratio | 1.17 X | ||||
| Book Value Per Share | 13.50 X | ||||
| Cash Flow From Operations | 75.91 M | ||||
| Short Ratio | 2.91 X | ||||
| Earnings Per Share | 0.85 X | ||||
| Target Price | 12.68 | ||||
| Beta | 0.29 | ||||
| Market Capitalization | 626.96 M | ||||
| Total Asset | 1.19 B | ||||
| Retained Earnings | 166.98 M | ||||
| Working Capital | (11.41 M) | ||||
| Annual Yield | 0.07 % | ||||
| Net Asset | 1.19 B | ||||
| Last Dividend Paid | 0.81 |
About Automotive Properties Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Automotive Properties Real's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Automotive Properties using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Automotive Properties Real 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 Automotive Properties
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 Automotive Properties 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 Automotive Properties will appreciate offsetting losses from the drop in the long position's value.Moving together with Automotive Stock
The ability to find closely correlated positions to Automotive Properties could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automotive Properties 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 Automotive Properties - 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 Automotive Properties Real to buy it.
The correlation of Automotive Properties 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 Automotive Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automotive Properties 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 Automotive Properties 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 Automotive Stock
Automotive Properties financial ratios help investors to determine whether Automotive 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 Automotive with respect to the benefits of owning Automotive Properties security.