Datadog Stock Working Capital
| DDOG Stock | USD 127.07 0.63 0.50% |
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.
| Last Reported | Projected for Next Year | ||
| Net Working Capital | 2.2 B | 1.1 B | |
| Change In Working Capital | 44.6 M | 46.9 M | |
| Working Capital | 0.00 | 0.00 |
Datadog | Working Capital |
Datadog Company Working Capital Analysis
Datadog's Working Capital is a measure of company efficiency and operating liquidity. The working capital is usually calculated by subtracting Current Liabilities from Current Assets. It is an important indicator of the firm ability to continue its normal operations without additional debt obligations. .
More About Working Capital | All Equity Analysis
Working Capital | = | Current Assets | - | Current Liabilities |
Current Datadog Working Capital | 2.18 B |
Most of Datadog's fundamental indicators, such as Working Capital, 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 Working Capital 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 Working Capital. 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.
Click cells to compare fundamentals
Working Capital can be positive or negative, depending on how much of current debt the company is carrying on its balance sheet. In general terms, companies that have a lot of working capital will experience more growth in the near future since they can expand and improve their operations using existing resources. On the other hand, companies with small or negative working capital may lack the funds necessary for growth or future operation. Working Capital also shows if the company has sufficient liquid resources to satisfy short-term liabilities and operational expenses.
| Competition |
Datadog Capital Surpluse
Capital Surpluse |
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According to the company's disclosures, Datadog has a Working Capital of 2.18 B. This is 77.76% lower than that of the Software sector and significantly higher than that of the Information Technology industry. The working capital for all United States stocks is 47.15% lower than that of the firm.
Datadog Working Capital 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 Working Capital 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 working capital category among related companies.
Datadog Fundamentals
| Return On Equity | 0.0283 | ||||
| Return On Asset | -0.006 | ||||
| Profit Margin | 0.02 % | ||||
| Operating Margin | 0.05 % | ||||
| Current Valuation | 40.28 B | ||||
| Shares Outstanding | 308.11 M | ||||
| Shares Owned By Insiders | 7.96 % | ||||
| Shares Owned By Institutions | 79.64 % | ||||
| Number Of Shares Shorted | 9.75 M | ||||
| Price To Book | 20.89 X | ||||
| Price To Sales | 19.88 X | ||||
| Revenue | 2.13 B | ||||
| Gross Profit | 1.33 B | ||||
| EBITDA | 11 M | ||||
| Net Income | 48.57 M | ||||
| Cash And Equivalents | 1.7 B | ||||
| Cash Per Share | 5.38 X | ||||
| Total Debt | 902.34 M | ||||
| Debt To Equity | 0.67 % | ||||
| Current Ratio | 3.31 X | ||||
| Book Value Per Share | 6.12 X | ||||
| Cash Flow From Operations | 659.95 M | ||||
| Short Ratio | 3.05 X | ||||
| Earnings Per Share | 0.14 X | ||||
| Price To Earnings To Growth | 1.19 X | ||||
| Target Price | 148.77 | ||||
| Number Of Employees | 5.2 K | ||||
| Beta | 1.15 | ||||
| Market Capitalization | 42.26 B | ||||
| Total Asset | 3.94 B | ||||
| Retained Earnings | (153.7 M) | ||||
| Working Capital | 2.18 B | ||||
| Current Asset | 117.22 M | ||||
| Current Liabilities | 79.2 M | ||||
| Net Asset | 3.94 B |
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.
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
| 0.66 | U | Unity Software Financial Report 8th of May 2024 | PairCorr |
Moving against Datadog Stock
| 0.62 | DJCO | Daily Journal Corp | PairCorr |
| 0.56 | ML | MoneyLion Financial Report 14th of May 2024 | PairCorr |
| 0.46 | BL | Blackline Earnings Call Next Week | PairCorr |
| 0.46 | DOCU | DocuSign Financial Report 13th of June 2024 | PairCorr |
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.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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for Datadog Stock analysis
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.