MongoDB Profitability Analysis

MDB Stock  USD 227.00  8.82  4.04%   
Based on the measurements of profitability obtained from MongoDB's financial statements, MongoDB may not be well positioned to generate adequate gross income at the present time. It has a very high chance of underperforming in July. Profitability indicators assess MongoDB's ability to earn profits and add value for shareholders.
 
Net Loss  
First Reported
2015-04-30
Previous Quarter
-55.5 M
Current Value
-80.6 M
Quarterly Volatility
29.9 M
 
Yuan Drop
 
Covid
At present, MongoDB's Days Sales Outstanding is projected to decrease significantly based on the last few years of reporting. The current year's Sales General And Administrative To Revenue is expected to grow to 0.21, whereas Price To Sales Ratio is forecasted to decline to 15.31. At present, MongoDB's Accumulated Other Comprehensive Income is projected to increase significantly based on the last few years of reporting. The current year's Interest Income is expected to grow to about 84.2 M, whereas Operating Income is forecasted to decline to (245.4 M).
Current ValueLast YearChange From Last Year 10 Year Trend
Gross Profit Margin0.570.7478
Way Down
Very volatile
For MongoDB profitability analysis, we use financial ratios and fundamental drivers that measure the ability of MongoDB to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well MongoDB utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between MongoDB's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of MongoDB over time as well as its relative position and ranking within its peers.
  

MongoDB's Revenue Breakdown by Earning Segment

Check out Correlation Analysis.
For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
Is Internet Services & Infrastructure 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 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
(2.93)
Revenue Per Share
24.534
Quarterly Revenue Growth
0.223
Return On Assets
(0.06)
Return On Equity
(0.20)
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 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.

MongoDB Return On Asset vs. Return On Equity Fundamental Analysis

Comparative valuation techniques use various fundamental indicators to help in determining MongoDB's current stock value. Our valuation model uses many indicators to compare MongoDB value to that of its competitors to determine the firm's financial worth.
MongoDB is considered to be number one stock in return on equity category among its peers. It also is considered to be number one stock in return on asset category among its peers . At present, MongoDB's Return On Equity is projected to slightly grow based on the last few years of reporting. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the MongoDB's earnings, one of the primary drivers of an investment's value.

MongoDB's Earnings Breakdown by Geography

MongoDB Return On Asset vs. Return On Equity

Return on Equity or ROE tells company stockholders how effectually their money is being utilized or reinvested. It is a useful ratio when analyzing company profitability or the management effectiveness given the capital invested by the shareholders. ROE shows how efficiently a company utilizes investments to generate income.

MongoDB

Return On Equity

 = 

Net Income

Total Equity

 = 
-0.2
For most industries, Return on Equity between 10% and 30% are considered desirable to provide dividends to owners and have funds for the future growth of the company. Investors should be very careful using ROE as the only efficiency indicator because ROE can be high if a company is heavily leveraged.
Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.

MongoDB

Return On Asset

 = 

Net Income

Total Assets

 = 
-0.0586
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.

MongoDB Return On Asset Comparison

MongoDB is currently under evaluation in return on asset category among its peers.

MongoDB Profitability Projections

The most important aspect of a successful company is its ability to generate a profit. For investors in MongoDB, profitability is also one of the essential criteria for including it into their portfolios because, without profit, MongoDB will eventually generate negative long term returns. The profitability progress is the general direction of MongoDB's change in net profit over the period of time. It can combine multiple indicators of MongoDB, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
Last ReportedProjected for Next Year
Accumulated Other Comprehensive Income4.5 M4.8 M
Interest Income80.2 M84.2 M
Operating Income-233.7 M-245.4 M
Net Loss-176.6 M-185.4 M
Income Before Tax-163.5 M-171.7 M
Total Other Income Expense Net70.2 M73.7 M
Net Loss-310.9 M-295.3 M
Net Loss-176.6 M-185.4 M
Income Tax Expense13.1 M13.7 M
Net Interest Income70.9 M74.4 M
Non Operating Income Net Other26.7 M28 M
Change To Netincome437.3 M459.2 M
Net Loss(2.48)(2.60)
Income Quality(0.69)(0.65)
Net Income Per E B T 1.08  0.82 

MongoDB Profitability Driver Comparison

Profitability drivers are factors that can directly affect your investment outlook on MongoDB. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of MongoDB position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the MongoDB's important profitability drivers and their relationship over time.

MongoDB Profitability Trends

MongoDB profitability trend refers to the progression of profit or loss within a business. An upward trend means that MongoDB's profit has generally increased over time, and a downward profitability trend means profits are declining. Recognizing problems early in profitability trends allows investors to address revenue and cost issues in advance. Investors and analysts usually monitor three types of profitability trends: gross, operating, and net. Gross profit is the difference between revenue and costs of goods sold. Operating profit is MongoDB's gross profit minus its overhead. After you account for other unusual revenue, expenses, and costs, you get net profit. Gross profit trends are often a good indicator of future profitability. If you have high gross profit margins, you have a better chance to cover overhead and make money.

MongoDB Profitability Drivers Correlations

One of the toughest challenges investors face today is learning how to quickly synthesize and read into endless financial statements and information provided by the company, SEC reporting, and various external parties. Understanding the correlation between MongoDB different financial indicators related to revenue and profit generation helps investors identify and prioritize their investing strategies towards MongoDB in a much-optimized way. Analyzing correlations between profit drivers that are directly associated with dollar figures is the most effective way to break down MongoDB's future profitability.

Use MongoDB in pair-trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if MongoDB position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in MongoDB will appreciate offsetting losses from the drop in the long position's value.

MongoDB Pair Trading

MongoDB Pair Trading Analysis

The ability to find closely correlated positions to MongoDB could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MongoDB when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back MongoDB - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling MongoDB to buy it.
The correlation of MongoDB is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as MongoDB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MongoDB moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for MongoDB can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Use Investing Themes to Complement your MongoDB position

In addition to having MongoDB in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Apparel
Apparel Theme
Companies manufacturing textile accessories and apparel products. The Apparel theme has 48 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Apparel Theme or any other thematic opportunities.
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Additional Information and Resources on Investing in MongoDB Stock

When determining whether MongoDB offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MongoDB's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Mongodb Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Mongodb Stock:
Check out Correlation Analysis.
For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
To fully project MongoDB's future profitability, investors should examine all historical financial statements. These statements provide investors with a comprehensive snapshot of the financial position of MongoDB at a specified time, usually calculated after every quarter, six months, or one year. Three primary documents fall into the category of financial statements. These documents include MongoDB's income statement, its balance sheet, and the statement of cash flows.
Potential MongoDB investors and stakeholders can use historical trends found within financial statements to determine how well the company is positioned for the future. Although MongoDB investors may work on 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. Please read more on our technical analysis and fundamental analysis pages.