MongoDB Revenue vs. Total Asset
| MDB Stock | USD 335.55 7.20 2.10% |
Total Revenue | First Reported 2015-04-30 | Previous Quarter 432.9 M | Current Value 458 M | Quarterly Volatility 137.7 M |
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Gross Profit Margin | 0.57 | 0.7478 |
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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 |
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 (2.48) | Revenue Per Share 23.622 | Quarterly Revenue Growth 0.268 | Return On Assets (0.05) | 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 Total Asset vs. Revenue 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 rated below average in revenue category among related companies. It is rated below average in total asset category among related companies fabricating about 1.71 of Total Asset per Revenue. At present, MongoDB's Total Revenue is projected to increase significantly based on the last few years of reporting.Comparative valuation analysis is a catch-all model that can be used if you cannot value MongoDB by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for MongoDB's Stock. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued. 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 Revenue vs. Competition
MongoDB is rated below average in revenue category among related companies. Market size based on revenue of Information Technology industry is now estimated at about 39.39 Billion. MongoDB holds roughly 1.68 Billion in revenue claiming about 4% of equities under Information Technology industry.
MongoDB Total Asset vs. Revenue
Revenue is income that a firm generates from business activities such us rendering services or selling goods to customers. It is a crucial part of a business and an essential item when evaluating a company's financial statements. Revenues from a firm's primary business operations can be reported on the income statement as sales revenue, net sales, or simply sales, depending on the industry in which a given company operates.
MongoDB |
| = | 1.68 B |
Revenue is typically recorded when cash or cash equivalents are exchanged for services or goods and can include products or services discounts, promotions, as well as early payments on invoices or services rendered in advance.
Total Asset is everything that a business owns. It is the sum of current and long-term assets owned by a firm at a given time. These assets are listed on a balance sheet and typically valued based on their purchasing prices, not the current market value.
MongoDB |
| = | 2.87 B |
Total Asset is typically divided on the balance sheet on current asset and long-term asset. Long-term is the value of company property and other capital assets that are expected to be useable for more than one year. Long term assets are reported net of depreciation. On the other hand current assets are assets that are expected to be sold or converted to cash as part of normal business operation.
MongoDB Total Asset Comparison
MongoDB is currently under evaluation in total asset category among related companies.
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 Reported | Projected for Next Year | ||
| Accumulated Other Comprehensive Income | 4.5 M | 4.8 M | |
| Interest Income | 80.2 M | 84.2 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 Net | 70.2 M | 73.7 M | |
| Net Loss | -310.9 M | -295.3 M | |
| Net Loss | -176.6 M | -185.4 M | |
| Income Tax Expense | 13.1 M | 13.7 M | |
| Net Interest Income | 70.9 M | 74.4 M | |
| Non Operating Income Net Other | 26.7 M | 28 M | |
| Change To Netincome | 437.3 M | 459.2 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.
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.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.Did You Try This Idea?
Run Investment Grade ETFs Thematic Idea Now
Investment Grade ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Investment Grade ETFs theme has 216 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 Investment Grade ETFs Theme or any other thematic opportunities.
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Check out Correlation Analysis. 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 the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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.
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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.