MongoDB Cash and Equivalents from 2010 to 2023

Stocks . USA . 
Stock . MongoDB
MDB Stock  USD 283.36  1.55  0.54%   
MongoDB Cash and Equivalents is increasing over the years with slightly volatile fluctuation. Cash and Equivalents is expected to dwindle to about 414.6 M. From 2010 to 2023 MongoDB Cash and Equivalents quarterly data regression line had arithmetic mean of 226,792,146 and slope of  40,257,913. MongoDB Direct Expenses is projected to increase significantly based on the last few years of reporting. The past year's Direct Expenses was at 349.3 Million. The current year's 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 376.9 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 1.58, PPandE Turnover of 23.0 or Receivables Turnover of 4.82. 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 Quarterly Cash and Equivalents

455.83 Million

MongoDB Cash and Equivalents Breakdown

Showing smoothed Cash and Equivalents of MongoDB with missing and latest data points interpolated. A component of Total Assets representing the amount of currency on hand as well as demand deposits with banks or financial institutions. Where this item is not contained on the company consolidated financial statements and cannot otherwise be imputed the value of 0 is used.MongoDB's Cash and Equivalents 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.
ViewLast Reported 1.8 B10 Years Trend
Slightly volatile
Compare to OthersAll Fundamentals
   Cash and Equivalents   
       Timeline  

MongoDB Cash and Equivalents Regression Statistics

Arithmetic Mean226,792,146
Geometric Mean145,522,672
Coefficient Of Variation96.82
Mean Deviation192,323,044
Median69,305,000
Standard Deviation219,584,807
Range644,290,000
R-Value0.77
R-Squared0.59
Significance0.00137
Slope40,257,913

MongoDB Cash and Equivalents History

2023414.6 M
2022455.8 M
2021473.9 M
2020429.7 M
2019706.2 M
2018147.8 M
201761.9 M

Other Fundumenentals of MongoDB

Cash and Equivalents USD
Cash and Equivalents Turnover

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 Cash and Equivalents, 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
Cash and Equivalents455.8 M414.6 M
Cash and Equivalents Turnover 2.76  2.27 
Free Cash Flow-20.2 M-21.8 M

Be your own money manager

Our tools can tell you how much better you can do entering a position in MongoDB without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Odds Of Bankruptcy Now

   

Odds Of Bankruptcy

Get analysis of equity chance of financial distress in the next 2 years
All  Next Launch Module

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as MongoDB using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

Build Optimal Portfolios

Align your risk with return expectations

Fix your portfolio
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

Complementary Tools for MongoDB Stock analysis

When running MongoDB's 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 the 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.
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
ETF Directory
Find actively traded Exchange Traded Funds (ETF) from around the world
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Global Correlations
Find global opportunities by holding instruments from different markets
Equity Valuation
Check real value of public entities based on technical and fundamental data
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
(5.13) 
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.
Altman
Z Score
Details
Piotroski
F Score
Details
Beneish
M Score
Details
Financial
Analysis
Details
Buy or Sell
Advice
Details
Earnings
Projections
Details
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 if MongoDB is a good investment 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. 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.
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
Feedback Blog
Made with optimal in San Francisco
2023 Macroaxis LLC
COMMON DESTINATIONS
MAIN CATEGORIES
COMPANY