Datadog Long Term Debt from 2010 to 2024

DDOG Stock  USD 151.96  2.43  1.57%   
Datadog's Long Term Debt is increasing over the last several years with slightly volatile swings. Long Term Debt is predicted to flatten to about 511.9 M. Long Term Debt is debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years. View All Fundamentals
 
Long Term Debt  
First Reported
2018-09-30
Previous Quarter
742.2 M
Current Value
743.1 M
Quarterly Volatility
296.1 M
 
Covid
Check Datadog financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Datadog's 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 87.9 M, as well as many 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.
  
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 Long Term Debt Growth Pattern

Below is the plot of the Long Term Debt of Datadog over the last few years. Long-term debt is a debt that Datadog has held for over one year. Long-term debt appears on Datadog balance sheet and also includes long-term leases. The most common forms of long term debt are bonds payable, long-term notes payable, mortgage payable, pension liabilities, and lease liabilities. In the corporate world, long-term debt is generally used to fund big-ticket items, such as machinery, buildings, and land. The total of long-term debt reported on Datadog balance sheet is the sum of the balances of all categories of long-term debt. It is debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years. Datadog's Long Term Debt 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.
Long Term Debt10 Years Trend
Slightly volatile
   Long Term Debt   
       Timeline  

Datadog Long Term Debt Regression Statistics

Arithmetic Mean258,682,476
Geometric Mean0.00
Coefficient Of Variation129.01
Mean Deviation310,418,971
Median0.00
Standard Deviation333,736,276
Sample Variance111379.9T
Range742.2M
R-Value0.84
Mean Square Error35307.3T
R-Squared0.71
Significance0.000089
Slope62,687,532
Total Sum of Squares1559318.6T

Datadog Long Term Debt History

2024511.9 M
2023742.2 M
2022738.8 M
2021735.5 M
2019575.9 M

Other Fundumenentals of Datadog

About Datadog Financial Statements

Datadog stakeholders use historical fundamental indicators, such as Datadog's Long Term Debt, to determine how well the company is positioned to perform in the future. Although Datadog investors may analyze each financial statement separately, they are all interrelated. For example, changes in Datadog's assets and liabilities are reflected in the revenues and expenses on Datadog's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Datadog. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Long Term Debt742.2 M511.9 M
Long Term Debt Total849.7 M451 M
Short and Long Term Debt Total902.3 M715.4 M
Long Term Debt To Capitalization 0.27  0.25 

Currently Active Assets on Macroaxis

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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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
1.333
Earnings Share
0.55
Revenue Per Share
7.609
Quarterly Revenue Growth
0.26
Return On Assets
0.0111
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.