Datasea Operating Income from 2010 to 2024
DTSS Stock | USD 8.03 0.46 6.08% |
Operating Income | First Reported 2015-03-31 | Previous Quarter -857.8 K | Current Value -1.8 M | Quarterly Volatility 1 M |
Check Datasea financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Datasea main balance sheet or income statement drivers, such as Discontinued Operations of 0.0, Depreciation And Amortization of 847 K or Interest Expense of 61 K, as well as many exotic indicators such as Price To Sales Ratio of 53.24, Dividend Yield of 0.0 or Operating Cycle of 28.83. Datasea financial statements analysis is a perfect complement when working with Datasea Valuation or Volatility modules.
Datasea | Operating Income |
Latest Datasea's Operating Income Growth Pattern
Below is the plot of the Operating Income of Datasea over the last few years. Operating Income is the amount of profit realized from Datasea 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 Datasea is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Datasea's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Datasea's overall financial position and show how it may be relating to other accounts over time.
Operating Income | 10 Years Trend |
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Operating Income |
Timeline |
Datasea Operating Income Regression Statistics
Arithmetic Mean | (3,149,114) | |
Coefficient Of Variation | (113.00) | |
Mean Deviation | 3,071,434 | |
Median | (1,499,308) | |
Standard Deviation | 3,558,564 | |
Sample Variance | 12.7T | |
Range | 9.5M | |
R-Value | (0.89) | |
Mean Square Error | 2.8T | |
R-Squared | 0.80 | |
Slope | (710,600) | |
Total Sum of Squares | 177.3T |
Datasea Operating Income History
Other Fundumenentals of Datasea
Datasea Operating Income component correlations
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About Datasea Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Datasea income statement, its balance sheet, and the statement of cash flows. Datasea investors use historical funamental indicators, such as Datasea's Operating Income, to determine how well the company is positioned to perform in the future. Although Datasea investors may use each financial statement separately, they are all related. The changes in Datasea's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Datasea's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Datasea Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Datasea. Please read more on our technical analysis and fundamental analysis pages.
Last Reported | Projected for 2024 | ||
Operating Income | -8.7 M | -8.3 M | |
Non Operating Income Net Other | 54 K | 56.7 K |
Pair Trading with Datasea
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 Datasea 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 Datasea will appreciate offsetting losses from the drop in the long position's value.Moving against Datasea Stock
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The ability to find closely correlated positions to Datasea could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datasea 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 Datasea - 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 Datasea to buy it.
The correlation of Datasea 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 Datasea moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datasea 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 Datasea 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.Check out the analysis of Datasea Correlation against competitors. For more information on how to buy Datasea Stock please use our How to Invest in Datasea guide.You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Complementary Tools for Datasea Stock analysis
When running Datasea's price analysis, check to measure Datasea'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 Datasea is operating at the current time. Most of Datasea's value examination focuses on studying past and present price action to predict the probability of Datasea's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datasea's price. Additionally, you may evaluate how the addition of Datasea to your portfolios can decrease your overall portfolio volatility.
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Is Datasea's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Datasea. If investors know Datasea will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Datasea listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (5.68) | Revenue Per Share 12.711 | Quarterly Revenue Growth 85.327 | Return On Assets (1.56) | Return On Equity (13.66) |
The market value of Datasea is measured differently than its book value, which is the value of Datasea that is recorded on the company's balance sheet. Investors also form their own opinion of Datasea's value that differs from its market value or its book value, called intrinsic value, which is Datasea's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Datasea's market value can be influenced by many factors that don't directly affect Datasea's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Datasea's value and its price as these two are different measures arrived at by different means. Investors typically determine if Datasea is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Datasea's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.