| DTSTW Stock | | | USD 0.40 0.02 5.26% |
Data Storage financial indicator trend analysis is much more than just examining Data Storage latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Data Storage is a good investment. Please check the relationship between Data Storage Operating Income and its Ebitda accounts. Check out
Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Storage. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
For more information on how to buy Data Stock please use our
How to Invest in Data Storage guide.
Operating Income vs Ebitda
Operating Income vs Ebitda Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
Data Storage Operating Income account and
Ebitda. At this time, the significance of the direction appears to have very strong relationship.
The correlation between Data Storage's Operating Income and Ebitda is 0.83. Overlapping area represents the amount of variation of Operating Income that can explain the historical movement of Ebitda in the same time period over historical financial statements of Data Storage, assuming nothing else is changed. The correlation between historical values of Data Storage's Operating Income and Ebitda is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Operating Income of Data Storage are associated (or correlated) with its Ebitda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Ebitda has no effect on the direction of Operating Income i.e., Data Storage's Operating Income and Ebitda go up and down completely randomly.
Correlation Coefficient | 0.83 |
| Relationship Direction | Positive |
| Relationship Strength | Strong |
Operating Income
Operating Income is the amount of profit realized from Data Storage operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Data Storage is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. Earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations.
Ebitda
Most indicators from Data Storage's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Data Storage current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out
Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Storage. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
For more information on how to buy Data Stock please use our
How to Invest in Data Storage guide.At this time, Data Storage's
Tax Provision is fairly stable compared to the past year.
Sales General And Administrative To Revenue is likely to climb to 0.36 in 2024, whereas
Selling General Administrative is likely to drop slightly above 4.8
M in 2024.
Data Storage fundamental ratios Correlations
Click cells to compare fundamentals
Data Storage Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data Storage fundamental ratios Accounts
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Additional Tools for Data Stock Analysis
When running Data Storage's price analysis, check to
measure Data Storage's 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 Data Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to
predict the probability of Data Storage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.