EDTA Net Income from 2010 to 2026
E Data's Net Loss is decreasing over the years with slightly volatile fluctuation. Net Loss is expected to dwindle to about -2.2 M. From 2010 to 2026 E Data Net Loss quarterly data regression line had arithmetic mean of (2,202,113) and significance of 0.23. View All Fundamentals
Check out the analysis of E Data Correlation against competitors. For information on how to trade EDTA Stock refer to our How to Trade EDTA Stock guide.
Net Loss | First Reported 2010-12-31 | Previous Quarter -2.1 M | Current Value -2.2 M | Quarterly Volatility 327.4 K |
Check E Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among E Data's main balance sheet or income statement drivers, such as Interest Expense of 0.0, Total Revenue of 123.5 K or Cost Of Revenue of 1.9 M, as well as many indicators such as . EDTA financial statements analysis is a perfect complement when working with E Data Valuation or Volatility modules.
EDTA | Net Income | Build AI portfolio with EDTA Stock |
Analyzing E Data's Net Income 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 Net Income has evolved provides context for assessing E Data's current valuation and future prospects.
Latest E Data's Net Income Growth Pattern
Below is the plot of the Net Income of E data over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in E data financial statement analysis. It represents the amount of money remaining after all of E data operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is E Data's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in E Data's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported (2.3 M) | 10 Years Trend |
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Net Income |
| Timeline |
EDTA Net Income Regression Statistics
| Arithmetic Mean | (2,202,113) | |
| Coefficient Of Variation | (14.87) | |
| Mean Deviation | 165,176 | |
| Median | (2,302,398) | |
| Standard Deviation | 327,406 | |
| Sample Variance | 107.2B | |
| Range | 1.3M | |
| R-Value | (0.31) | |
| Mean Square Error | 103.5B | |
| R-Squared | 0.1 | |
| Significance | 0.23 | |
| Slope | (19,998) | |
| Total Sum of Squares | 1.7T |
EDTA Net Income History
Other Fundumenentals of E data
E Data Net Income component correlations
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About E Data Financial Statements
E Data stakeholders use historical fundamental indicators, such as E Data's Net Income, to determine how well the company is positioned to perform in the future. Although E Data investors may analyze each financial statement separately, they are all interrelated. For example, changes in E Data's assets and liabilities are reflected in the revenues and expenses on E Data's 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 E data. Please read more on our technical analysis and fundamental analysis pages.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether E data offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of E Data's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of E Data Stock. Outlined below are crucial reports that will aid in making a well-informed decision on E Data Stock:Check out the analysis of E Data Correlation against competitors. For information on how to trade EDTA Stock refer to our How to Trade EDTA Stock guide.You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Is Consulting Services space 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 E Data. Projected growth potential of EDTA fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive E Data assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Earnings Share (0.14) | Revenue Per Share 0.01 | Quarterly Revenue Growth 1.498 |
The market value of E data is measured differently than its book value, which is the value of EDTA that is recorded on the company's balance sheet. Investors also form their own opinion of E Data's value that differs from its market value or its book value, called intrinsic value, which is E Data'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 E Data's market value can be influenced by many factors that don't directly affect E Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between E Data's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding E Data should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, E Data's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.