A W Enterprise Value Over E B I T D A from 2010 to 2026
| AW Stock | 38.41 0.17 0.44% |
Enterprise Value Over EBITDA | First Reported 2010-12-31 | Previous Quarter 27.82 | Current Value 27.84 | Quarterly Volatility 3.28441268 |
Check A W financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among A W's main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.3 M, Interest Expense of 16.4 M or Selling General Administrative of 47.8 M, as well as many indicators such as Price To Sales Ratio of 1.78, Dividend Yield of 0.0359 or PTB Ratio of 4.96. A W financial statements analysis is a perfect complement when working with A W Valuation or Volatility modules.
A W | Enterprise Value Over E B I T D A |
Latest A W's Enterprise Value Over E B I T D A Growth Pattern
Below is the plot of the Enterprise Value Over E B I T D A of A W FOOD over the last few years. It is A W's Enterprise Value Over EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in A W's overall financial position and show how it may be relating to other accounts over time.
| Enterprise Value Over E B I T D A | 10 Years Trend |
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Enterprise Value Over E B I T D A |
| Timeline |
A W Enterprise Value Over E B I T D A Regression Statistics
| Arithmetic Mean | 29.07 | |
| Geometric Mean | 28.88 | |
| Coefficient Of Variation | 11.30 | |
| Mean Deviation | 2.76 | |
| Median | 31.20 | |
| Standard Deviation | 3.28 | |
| Sample Variance | 10.79 | |
| Range | 9.9297 | |
| R-Value | (0.70) | |
| Mean Square Error | 5.87 | |
| R-Squared | 0.49 | |
| Significance | 0 | |
| Slope | (0.46) | |
| Total Sum of Squares | 172.60 |
A W Enterprise Value Over E B I T D A History
About A W Financial Statements
A W investors utilize fundamental indicators, such as Enterprise Value Over E B I T D A, to predict how A W Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Enterprise Value Over EBITDA | 27.82 | 27.84 |
Pair Trading with A W
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 A W 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 A W will appreciate offsetting losses from the drop in the long position's value.Moving against A W Stock
| 0.45 | AMZN | Amazon CDR | PairCorr |
| 0.45 | AMZN | Amazon CDR | PairCorr |
| 0.38 | NVDA | NVIDIA CDR | PairCorr |
| 0.38 | NVDA | Nvidia CDR | PairCorr |
The ability to find closely correlated positions to A W could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace A W 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 A W - 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 A W FOOD to buy it.
The correlation of A W 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 A W moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if A W FOOD 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 A W 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 A W Stock
A W financial ratios help investors to determine whether A W 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 A W with respect to the benefits of owning A W security.