Data Net Income from 2010 to 2026

DTL Stock   9.77  0.14  1.41%   
Data 3 Net Income yearly trend continues to be comparatively stable with very little volatility. Net Income is likely to outpace its year average in 2026. From the period from 2010 to 2026, Data 3 Net Income quarterly data regression had r-value of  0.94 and coefficient of variation of  68.51. View All Fundamentals
 
Net Income  
First Reported
1997-12-31
Previous Quarter
22.4 M
Current Value
25.8 M
Quarterly Volatility
5.6 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Data 3 financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data 3's main balance sheet or income statement drivers, such as Interest Expense of 1.2 M, Other Operating Expenses of 821.1 M or Operating Income of 71.9 M, as well as many indicators such as . Data financial statements analysis is a perfect complement when working with Data 3 Valuation or Volatility modules.
  
This module can also supplement various Data 3 Technical models . Check out the analysis of Data 3 Correlation against competitors.
The evolution of Net Income for Data 3 provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Data 3 compares to historical norms and industry peers.

Latest Data 3's Net Income Growth Pattern

Below is the plot of the Net Income of Data 3 over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Data 3 financial statement analysis. It represents the amount of money remaining after all of Data 3 operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Data 3's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Data 3's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 48.19 M10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Data Net Income Regression Statistics

Arithmetic Mean25,237,550
Geometric Mean19,318,658
Coefficient Of Variation68.51
Mean Deviation14,254,765
Median18,112,000
Standard Deviation17,289,532
Sample Variance298.9T
Range56M
R-Value0.94
Mean Square Error34.2T
R-Squared0.89
Slope3,234,798
Total Sum of Squares4782.8T

Data Net Income History

202658.2 M
202555.4 M
202448.2 M
202343.3 M
202237 M
202130.3 M
202025.4 M

About Data 3 Financial Statements

Data 3 shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Data 3 investors may analyze each financial statement separately, they are all interrelated. The changes in Data 3's assets and liabilities, for example, are also reflected in the revenues and expenses on on Data 3's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Income55.4 M58.2 M
Net Income Applicable To Common Shares55.4 M58.2 M
Net Income From Continuing Ops55.4 M58.2 M

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Additional Tools for Data Stock Analysis

When running Data 3's price analysis, check to measure Data 3'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 3 is operating at the current time. Most of Data 3's value examination focuses on studying past and present price action to predict the probability of Data 3'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 3's price. Additionally, you may evaluate how the addition of Data 3 to your portfolios can decrease your overall portfolio volatility.