Distribution Net Income Applicable To Common Shares from 2010 to 2024
| DSGR Stock | USD 39.10 1.02 2.68% |
Net Income Applicable To Common Shares | First Reported 2000-03-31 | Previous Quarter 5.9 M | Current Value 3 M | Quarterly Volatility 7.9 M |
Check Distribution Solutions financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Distribution Solutions' main balance sheet or income statement drivers, such as Depreciation And Amortization of 66.8 M, Interest Expense of 44.9 M or Total Revenue of 1.6 B, as well as many indicators such as Price To Sales Ratio of 0.66, Dividend Yield of 0.0329 or PTB Ratio of 1.15. Distribution financial statements analysis is a perfect complement when working with Distribution Solutions Valuation or Volatility modules.
Distribution | Net Income Applicable To Common Shares |
Latest Distribution Solutions' Net Income Applicable To Common Shares Growth Pattern
Below is the plot of the Net Income Applicable To Common Shares of Distribution Solutions Group over the last few years. It is the net income that remains after preferred dividends have been deducted, available to common shareholders. Distribution Solutions' Net Income Applicable To Common Shares historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Distribution Solutions' overall financial position and show how it may be relating to other accounts over time.
| Net Income Applicable To Common Shares | 10 Years Trend |
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Net Income Applicable To Common Shares |
| Timeline |
Distribution Net Income Applicable To Common Shares Regression Statistics
| Arithmetic Mean | 2,477,686 | |
| Coefficient Of Variation | 842.33 | |
| Mean Deviation | 12,381,482 | |
| Median | 6,214,000 | |
| Standard Deviation | 20,870,297 | |
| Sample Variance | 435.6T | |
| Range | 92.2M | |
| R-Value | 0.30 | |
| Mean Square Error | 426T | |
| R-Squared | 0.09 | |
| Significance | 0.27 | |
| Slope | 1,414,220 | |
| Total Sum of Squares | 6098T |
Distribution Net Income Applicable To Common Shares History
About Distribution Solutions Financial Statements
Distribution Solutions shareholders use historical fundamental indicators, such as Net Income Applicable To Common Shares, to determine how well the company is positioned to perform in the future. Although Distribution Solutions investors may analyze each financial statement separately, they are all interrelated. The changes in Distribution Solutions' assets and liabilities, for example, are also reflected in the revenues and expenses on on Distribution Solutions' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Income Applicable To Common Shares | 6.7 M | 5.3 M |
Pair Trading with Distribution Solutions
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 Distribution Solutions 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 Distribution Solutions will appreciate offsetting losses from the drop in the long position's value.Moving against Distribution Stock
| 0.4 | BA | Boeing Fiscal Year End 29th of January 2025 | PairCorr |
The ability to find closely correlated positions to Distribution Solutions could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Distribution Solutions 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 Distribution Solutions - 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 Distribution Solutions Group to buy it.
The correlation of Distribution Solutions 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 Distribution Solutions moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Distribution Solutions 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 Distribution Solutions 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.Additional Tools for Distribution Stock Analysis
When running Distribution Solutions' price analysis, check to measure Distribution Solutions' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Distribution Solutions is operating at the current time. Most of Distribution Solutions' value examination focuses on studying past and present price action to predict the probability of Distribution Solutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Distribution Solutions' price. Additionally, you may evaluate how the addition of Distribution Solutions to your portfolios can decrease your overall portfolio volatility.