| DDOG Stock | | | USD 154.83 10.97 7.63% |
This module uses fundamental data of Datadog to approximate its Piotroski F score. Datadog F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Datadog. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Datadog financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Datadog Altman Z Score,
Datadog Correlation,
Datadog Valuation, as well as analyze
Datadog Alpha and Beta and
Datadog Hype Analysis.
For more detail on how to invest in Datadog Stock please use our
How to Invest in Datadog guide.
At this time, Datadog's
Debt To Equity is most likely to increase slightly in the upcoming years. The Datadog's current
Debt Equity Ratio is estimated to increase to 0.40, while
Long Term Debt Total is projected to decrease to roughly 451
M. At this time, Datadog's
Days Sales Outstanding is most likely to decrease significantly in the upcoming years. The Datadog's current
Book Value Per Share is estimated to increase to 6.56, while
ROIC is projected to decrease to
(0.01).
At this time, it appears that Datadog's Piotroski F Score is Strong. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
7.0
Piotroski F Score - Strong
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | Lower Leverage| Focus | |
| Change In Outstending Shares | |
Datadog Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Datadog is to make sure Datadog is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Datadog's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Datadog's financial numbers are properly reported.
Datadog F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Datadog's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Datadog in a much-optimized way.
Click cells to compare fundamentals
About Datadog Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Datadog ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Datadog's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Datadog's managers, analysts, and investors.
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.
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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: Is Application Software space 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.
Quarterly Earnings Growth | Earnings Share | Revenue Per Share | Quarterly Revenue Growth | Return On Assets |
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.