MongoDB Return On Asset vs. Price To Book
| MDB Stock | USD 332.50 17.06 5.41% |
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Gross Profit Margin | 0.57 | 0.7478 |
|
|
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 |
MongoDB's Revenue Breakdown by Earning Segment
Check out Correlation Analysis.
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 (3.03) | Revenue Per Share 25.057 | Quarterly Revenue Growth 0.128 | 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 Price To Book vs. Return On Asset 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 return on asset category among its peers. It is rated below average in price to book category among its peers . The current year's Price To Book Ratio is expected to grow to 28.03. 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 Price To Book vs. Return On Asset
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 |
| = | -0.0618 |
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.
Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
MongoDB |
| = | 18.02 X |
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
MongoDB Price To Book Comparison
MongoDB is currently under evaluation in price to book 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 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 Real Estate Thematic Idea Now
Real Estate
Publicly traded companies that are involved in real estate development, property maintenance and management of real estate investment trusts (REIT) funds. The Real Estate theme has 38 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 Real Estate Theme or any other thematic opportunities.
| View All Next | Launch |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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.