Data Storage Stock EBITDA

Data Storage fundamentals help investors to digest information that contributes to Data Storage's financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Storage's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Data Storage stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Data Storage Company EBITDA Analysis

Data Storage's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.

EBITDA

 = 

Revenue

-

Basic Expenses

More About EBITDA | All Equity Analysis

Current Data Storage EBITDA

    
  1.82 M  
Most of Data Storage's fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Data Storage is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
Competition

According to the company disclosure, Data Storage reported earnings before interest,tax, depreciation and amortization of 1.82 M. This is much higher than that of the IT Services sector and significantly higher than that of the Information Technology industry. The ebitda for all United States stocks is notably lower than that of the firm.

Data EBITDA Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Storage's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data Storage could also be used in its relative valuation, which is a method of valuing Data Storage by comparing valuation metrics of similar companies.
Data Storage is currently under evaluation in ebitda category among its peers.

Data Fundamentals

Also Currently Popular

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.
Check out Investing Opportunities to better understand how to build diversified portfolios. 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.
You can also try the Stocks Directory module to find actively traded stocks across global markets.

Other Tools for Data Stock

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.
CEOs Directory
Screen CEOs from public companies around the world
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Bonds Directory
Find actively traded corporate debentures issued by US companies
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments