Datadog Earnings Yield from 2010 to 2024

DDOG Stock  USD 125.50  3.57  2.77%   
Datadog's Earnings Yield is increasing over the last several years with stable swings. Earnings Yield is estimated to finish at 0 this year. Earnings Yield is the inverse of the price-to-earnings ratio, representing the percentage of each dollar invested in the stock that was earned by the company. View All Fundamentals
 
Earnings Yield  
First Reported
2010-12-31
Previous Quarter
0.00123485
Current Value
0.001297
Quarterly Volatility
0.00136568
 
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Yuan Drop
 
Covid
Check Datadog financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Datadog main balance sheet or income statement drivers, such as Tax Provision of 12.2 M, Discontinued Operations of 0.0 or Depreciation And Amortization of 46.7 M, as well as many exotic indicators such as Price To Sales Ratio of 22.0, Dividend Yield of 0.0 or PTB Ratio of 20.39. Datadog financial statements analysis is a perfect complement when working with Datadog Valuation or Volatility modules.
  
This module can also supplement Datadog's financial leverage analysis and stock options assessment as well as various Datadog Technical models . Check out the analysis of Datadog Correlation against competitors.
For more detail on how to invest in Datadog Stock please use our How to Invest in Datadog guide.

Latest Datadog's Earnings Yield Growth Pattern

Below is the plot of the Earnings Yield of Datadog over the last few years. It is the inverse of the price-to-earnings ratio, representing the percentage of each dollar invested in the stock that was earned by the company. Datadog's Earnings Yield historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Datadog's overall financial position and show how it may be relating to other accounts over time.
Earnings Yield10 Years Trend
Pretty Stable
   Earnings Yield   
       Timeline  

Datadog Earnings Yield Regression Statistics

Arithmetic Mean(0.001)
Coefficient Of Variation(137.28)
Mean Deviation0.0009
Median(0.0009)
Standard Deviation0
Sample Variance0.00000187
Range0.0053
R-Value0.18
Mean Square Error0.00000194
R-Squared0.03
Significance0.52
Slope0.000055
Total Sum of Squares0.000026

Datadog Earnings Yield History

2024 0.001297
2023 0.001235
2022 -0.002164
2021 -3.77E-4
2020 -8.3E-4
2019 -0.003162
2018 -0.004039

About Datadog Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Datadog income statement, its balance sheet, and the statement of cash flows. Datadog investors use historical funamental indicators, such as Datadog's Earnings Yield, to determine how well the company is positioned to perform in the future. Although Datadog investors may use each financial statement separately, they are all related. The changes in Datadog's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Datadog's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Datadog Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Datadog. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Earnings Yield 0  0 

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

    
  91.96  
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 together with Datadog Stock

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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 the analysis of Datadog Correlation against competitors.
For more detail on how to invest in Datadog Stock please use our How to Invest in Datadog guide.
You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.

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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.