MongoDB Long Term Debt to Equity from 2010 to 2023

Stocks . USA . 
Stock . MongoDB
MDB Stock  USD 216.79  3.28  1.49%   
MongoDB Long Term Debt to Equity is increasing over the years with stable fluctuation. Ongoing Long Term Debt to Equity is projected to grow to 1.57 this year. From 2010 to 2023 MongoDB Long Term Debt to Equity quarterly data regression line had arithmetic mean of 1.78 and r-squared of  0.08. MongoDB Direct Expenses is projected to increase significantly based on the last few years of reporting. The past year's Direct Expenses was at 233.54 Million. The current year Cost of Revenue is expected to grow to about 376.9 M, whereas Consolidated Income is forecasted to decline to (354.5 M).
  
Check MongoDB financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among MongoDB main balance sheet or income statement drivers, such as Direct Expenses of 252 M, Cost of Revenue of 376.9 M or Gross Profit of 1 B, as well as many exotic indicators such as Long Term Debt to Equity of 1.57, PPandE Turnover of 14.01 or Receivables Turnover of 4.48. MongoDB financial statements analysis is a perfect complement when working with MongoDB Valuation or Volatility modules. It can also supplement MongoDB's financial leverage analysis and stock options assessment as well as various MongoDB Technical models . Check out the analysis of MongoDB Correlation against competitors. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.

MongoDB Long Term Debt to Equity Breakdown

Showing smoothed Long Term Debt to Equity of MongoDB with missing and latest data points interpolated. MongoDB's Long Term Debt to Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in MongoDB's overall financial position and show how it may be relating to other accounts over time.
Long Term Debt to Equity10 Years Trend
Up
Pretty Stable
Compare to OthersAll Fundamentals
   Long Term Debt to Equity   
       Timeline  

MongoDB Long Term Debt to Equity Regression Statistics

Arithmetic Mean1.78
Geometric Mean1.20
Coefficient Of Variation150.75
Mean Deviation1.32
Median0.82
Standard Deviation2.68
Sample Variance7.18
Range10.18
R-Value0.28
Mean Square Error7.15
R-Squared0.08
Significance0.33
Slope0.18
Total Sum of Squares93.34

MongoDB Long Term Debt to Equity History

2023 1.57
2022 1.53
2020 1.7
2019 11.0

About MongoDB Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include MongoDB income statement, its balance sheet, and the statement of cash flows. MongoDB investors use historical funamental indicators, such as MongoDB's Long Term Debt to Equity, to determine how well the company is positioned to perform in the future. Although MongoDB investors may use each financial statement separately, they are all related. The changes in MongoDB's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on MongoDB'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 MongoDB Financial Statements. Understanding these patterns can help to make the right decision on long term investment in MongoDB. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2023
Long Term Debt to Equity 1.53  1.57 
Average Equity691.2 M745.8 M

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Check out the analysis of MongoDB Correlation against competitors. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide. Note that the MongoDB information on this page should be used as a complementary analysis to other MongoDB's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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When running MongoDB price analysis, check to measure MongoDB'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 MongoDB is operating at the current time. Most of MongoDB's value examination focuses on studying past and present price action to predict the probability of MongoDB's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move MongoDB's price. Additionally, you may evaluate how the addition of MongoDB to your portfolios can decrease your overall portfolio volatility.
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Is MongoDB'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 MongoDB. If investors know MongoDB 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 MongoDB listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(4.96) 
Revenue Per Share
18.71
Quarterly Revenue Growth
0.356
Return On Assets
(0.09) 
Return On Equity
(0.49) 
The market value of MongoDB is measured differently than its book value, which is the value of MongoDB that is recorded on the company's balance sheet. Investors also form their own opinion of MongoDB's value that differs from its market value or its book value, called intrinsic value, which is MongoDB'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 MongoDB's market value can be influenced by many factors that don't directly affect MongoDB's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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Please note, there is a significant difference between MongoDB's value and its price as these two are different measures arrived at by different means. Investors typically determine MongoDB value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MongoDB'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.
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