Automotive Cash from 2010 to 2026
| APR-UN Stock | CAD 11.23 0.15 1.35% |
Cash | First Reported 2015-06-30 | Previous Quarter 621 K | Current Value 636 K | Quarterly Volatility 8.7 M |
Check Automotive Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automotive Properties' main balance sheet or income statement drivers, such as Depreciation And Amortization of 157.3 K, Total Revenue of 113.4 M or Gross Profit of 45.8 M, as well as many indicators such as Price To Sales Ratio of 11.91, Dividend Yield of 0.087 or PTB Ratio of 0.88. Automotive financial statements analysis is a perfect complement when working with Automotive Properties Valuation or Volatility modules.
Automotive | Cash |
Analyzing Automotive Properties's Cash 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 Cash has evolved provides context for assessing Automotive Properties's current valuation and future prospects.
Latest Automotive Properties' Cash Growth Pattern
Below is the plot of the Cash of Automotive Properties Real over the last few years. Cash refers to the most liquid asset of Automotive Properties, which is listed under current asset account on Automotive Properties Real balance sheet and usually includes currency, coins, checking accounts, and not deposited checks received from Automotive Properties customers. The amounts must be unrestricted with restricted cash listed in a different Automotive Properties account. It is the total amount of money in the form of currency that a company has in its possession. This includes all bills, coins, and funds in bank accounts. Automotive Properties' Cash 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.
| Cash | 10 Years Trend |
|
Cash |
| Timeline |
Automotive Cash Regression Statistics
| Arithmetic Mean | 3,474,158 | |
| Geometric Mean | 770,944 | |
| Coefficient Of Variation | 310.65 | |
| Mean Deviation | 4,916,687 | |
| Median | 396,000 | |
| Standard Deviation | 10,792,525 | |
| Sample Variance | 116.5T | |
| Range | 45M | |
| R-Value | (0) | |
| Mean Square Error | 124.2T | |
| R-Squared | 0.00000701 | |
| Significance | 0.99 | |
| Slope | (5,659) | |
| Total Sum of Squares | 1863.7T |
Automotive Cash History
About Automotive Properties Financial Statements
Automotive Properties stakeholders use historical fundamental indicators, such as Automotive Properties' Cash, to determine how well the company is positioned to perform in the future. Although Automotive Properties investors may analyze each financial statement separately, they are all interrelated. For example, changes in Automotive Properties' assets and liabilities are reflected in the revenues and expenses on Automotive Properties' income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Automotive Properties Real. Please read more on our technical analysis and fundamental analysis pages.
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
Moving against 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.