MongoDB Weighted Average Shares from 2010 to 2023

MDB Stock  USD 220.07  8.94  4.23%   
MongoDB Weighted Average Shares is increasing over the years with slightly volatile fluctuation. Weighted Average Shares is expected to dwindle to about 61.3 M. From 2010 to 2023 MongoDB Weighted Average Shares quarterly data regression line had arithmetic mean of 33,198,498 and slope of  5,391,077. 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 Quarterly Weighted Average Shares

69.54 Million

MongoDB Weighted Average Shares Breakdown

Showing smoothed Weighted Average Shares of MongoDB with missing and latest data points interpolated. The weighted average number of shares or units issued and outstanding that are used by the company to calculate [EPS]; determined based on the timing of issuance of shares or units in the period.MongoDB's Weighted Average Shares 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 70.04 M10 Years Trend
Up
Slightly volatile
   Weighted Average Shares   
       Timeline  

MongoDB Weighted Average Shares Regression Statistics

Arithmetic Mean33,198,498
Geometric Mean24,446,350
Coefficient Of Variation74.66
Mean Deviation23,173,387
Median23,718,391
Standard Deviation24,785,574
Range57,387,571
R-Value0.91
R-Squared0.83
Significance0.00000634
Slope5,391,077

MongoDB Weighted Average Shares History

202361.3 M
202268.6 M
202164.6 M
202059 M
201955.9 M
201852 M
201723.7 M
201612.2 M

Other Fundumenentals of MongoDB

MongoDB Weighted Average Shares component correlations

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 Weighted Average Shares, 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
Weighted Average Shares68.6 M61.3 M
Weighted Average Shares Diluted68.6 M61.3 M
Average Assets2.5 BB
Average Equity691.2 M745.8 M
Invested Capital Average2.4 B2.6 B

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 Equity Search Now

   

Equity Search

Search for actively traded equities including funds and ETFs from over 30 global markets
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Complementary Tools for MongoDB Stock analysis

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.
Commodity Channel Index
Use Commodity Channel Index to analyze current equity momentum
Transaction History
View history of all your transactions and understand their impact on performance
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
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
(4.80) 
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.
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.