MongoDB Accrued Expenses Turnover from 2010 to 2023

Stocks . USA . 
Stock . MongoDB
MDB Stock  USD 214.76  3.84  1.82%   
MongoDB Accrued Expenses Turnover is increasing over the years with very volatile fluctuation. Ongoing Accrued Expenses Turnover is projected to grow to 7.75 this year. From 2010 to 2023 MongoDB Accrued Expenses Turnover quarterly data regression line had arithmetic mean of 7.08 and r-squared of  0.00016168. 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 . Additionally, see the analysis of MongoDB Correlation against competitors.

MongoDB Accrued Expenses Turnover Breakdown

Showing smoothed Accrued Expenses Turnover of MongoDB with missing and latest data points interpolated. MongoDB's Accrued Expenses Turnover 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.
Accrued Expenses Turnover10 Years Trend
Up
Very volatile
Compare to OthersAll Fundamentals
   Accrued Expenses Turnover   
       Timeline  

MongoDB Accrued Expenses Turnover Regression Statistics

Arithmetic Mean7.08
Geometric Mean7.06
Coefficient Of Variation7.96
Mean Deviation0.37
Median7.02
Standard Deviation0.56
Sample Variance0.32
Range2.05
R-Value0.012716
Mean Square Error0.34
R-Squared0.00016168
Significance0.97
Slope0.001713
Total Sum of Squares4.13

MongoDB Accrued Expenses Turnover History

2023 7.75
2022 6.98
2021 6.07
2020 6.04
2019 7.78
2018 8.09
2017 7.27

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 Accrued Expenses Turnover, 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
Accrued Expenses Turnover 6.98  7.75 

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 Valuation Now

   

Equity Valuation

Check real value of public entities based on technical and fundamental data
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
Additionally, see the analysis of MongoDB Correlation against competitors. 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.

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.
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Stock Screener
Find equities using custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Fundamental Analysis
View fundamental data based on most recent published financial statements
Watchlist Optimization
Optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Money Managers
Screen money managers from public funds and ETFs managed around the world
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
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
(5.21) 
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 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.
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