Datadog Stock Earnings Per Share

DDOG Stock  USD 131.45  6.20  4.95%   
Datadog fundamentals help investors to digest information that contributes to Datadog's financial success or failures. It also enables traders to predict the movement of Datadog Stock. The fundamental analysis module provides a way to measure Datadog'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 Datadog 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.

Datadog Company Earnings Per Share Analysis

Datadog's Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.

Earnings per Share

 = 

Earnings

Average Shares

More About Earnings Per Share | All Equity Analysis

Current Datadog Earnings Per Share

    
  0.14 X  
Most of Datadog's fundamental indicators, such as Earnings Per Share, 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, Datadog is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

Datadog Earnings Per Share Driver Correlations

Understanding the fundamental principles of building solid financial models for Datadog is extremely important. It helps to project a fair market value of Datadog Stock properly, considering its historical fundamentals such as Earnings Per Share. Since Datadog's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Datadog's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Datadog's interrelated accounts and indicators.
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Click cells to compare fundamentals
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
Competition

Datadog Common Stock Shares Outstanding

Common Stock Shares Outstanding

315.29 Million

At this time, Datadog's Common Stock Shares Outstanding is most likely to increase significantly in the upcoming years.
According to the company disclosure, Datadog has an Earnings Per Share of 0.14 times. This is 85.71% lower than that of the Software sector and significantly higher than that of the Information Technology industry. The earnings per share for all United States stocks is 95.51% higher than that of the company.

Datadog Earnings Per Share Peer Comparison

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

Datadog Fundamentals

About Datadog Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Datadog's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datadog using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datadog based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Datadog Investors Sentiment

The influence of Datadog's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Datadog. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Datadog's public news can be used to forecast risks associated with an investment in Datadog. The trend in average sentiment can be used to explain how an investor holding Datadog can time the market purely based on public headlines and social activities around Datadog. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Datadog's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Datadog's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Datadog's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Datadog.

Datadog Implied Volatility

    
  49.24  
Datadog's implied volatility exposes the market's sentiment of Datadog stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Datadog's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Datadog stock will not fluctuate a lot when Datadog's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Datadog in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Datadog's short interest history, or implied volatility extrapolated from Datadog options trading.

Pair Trading with Datadog

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 Datadog 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 Datadog will appreciate offsetting losses from the drop in the long position's value.

Moving against Datadog Stock

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The ability to find closely correlated positions to Datadog could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datadog 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 Datadog - 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 Datadog to buy it.
The correlation of Datadog 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 Datadog moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datadog 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 Datadog 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.
Pair CorrelationCorrelation Matching
When determining whether Datadog is a strong investment it is important to analyze Datadog's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Datadog's future performance. For an informed investment choice regarding Datadog Stock, refer to the following important reports:
Check out Datadog Piotroski F Score and Datadog Altman Z Score analysis.
For more detail on how to invest in Datadog Stock please use our How to Invest in Datadog guide.
You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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When running Datadog's price analysis, check to measure Datadog'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 Datadog is operating at the current time. Most of Datadog's value examination focuses on studying past and present price action to predict the probability of Datadog's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datadog's price. Additionally, you may evaluate how the addition of Datadog to your portfolios can decrease your overall portfolio volatility.
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Is Datadog'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 Datadog. If investors know Datadog 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 Datadog listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
0.14
Revenue Per Share
6.568
Quarterly Revenue Growth
0.256
Return On Assets
(0.01)
Return On Equity
0.0283
The market value of Datadog is measured differently than its book value, which is the value of Datadog that is recorded on the company's balance sheet. Investors also form their own opinion of Datadog's value that differs from its market value or its book value, called intrinsic value, which is Datadog'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 Datadog's market value can be influenced by many factors that don't directly affect Datadog'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 Datadog's value and its price as these two are different measures arrived at by different means. Investors typically determine if Datadog is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Datadog'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.