Data Net Income From Continuing Ops from 2010 to 2024

DTST Stock  USD 4.33  0.27  6.65%   
Data Storage Net Loss yearly trend continues to be comparatively stable with very little volatility. Net Loss is likely to outpace its year average in 2024. From the period from 2010 to 2024, Data Storage Net Loss quarterly data regression had mean square error of 1.6 T and mean deviation of  887,456. View All Fundamentals
 
Net Loss  
First Reported
2016-12-31
Previous Quarter
-246.6 K
Current Value
123.5 K
Quarterly Volatility
611.9 K
 
Covid
Check Data Storage financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data Storage's main balance sheet or income statement drivers, such as Depreciation And Amortization of 760.9 K, Interest Expense of 70.8 K or Total Revenue of 26.2 M, as well as many indicators such as Price To Sales Ratio of 0.83, Dividend Yield of 0.0649 or PTB Ratio of 0.66. Data financial statements analysis is a perfect complement when working with Data Storage Valuation or Volatility modules.
  
Check out the analysis of Data Storage Correlation against competitors.
For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.

Latest Data Storage's Net Income From Continuing Ops Growth Pattern

Below is the plot of the Net Income From Continuing Ops of Data Storage Corp over the last few years. It is Data Storage's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Data Storage's overall financial position and show how it may be relating to other accounts over time.
Net Income From Continuing Ops10 Years Trend
Slightly volatile
   Net Income From Continuing Ops   
       Timeline  

Data Net Income From Continuing Ops Regression Statistics

Arithmetic Mean(1,039,221)
Coefficient Of Variation(125.00)
Mean Deviation887,456
Median(893,390)
Standard Deviation1,299,044
Sample Variance1.7T
Range4.7M
R-Value(0.35)
Mean Square Error1.6T
R-Squared0.12
Significance0.20
Slope(102,315)
Total Sum of Squares23.6T

Data Net Income From Continuing Ops History

2024-2.6 M
2023-2.8 M
2022-4.4 M
2021259.9 K
2020173.4 K
201929.3 K
2018236.7 K

About Data Storage Financial Statements

Data Storage shareholders use historical fundamental indicators, such as Net Income From Continuing Ops, to determine how well the company is positioned to perform in the future. Although Data Storage investors may analyze each financial statement separately, they are all interrelated. The changes in Data Storage's assets and liabilities, for example, are also reflected in the revenues and expenses on on Data Storage'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 Loss-2.8 M-2.6 M

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

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.