Mongodb Stock Buy Hold or Sell Recommendation
| MDB Stock | USD 369.29 0.00 0.00% |
Considering the 90-day investment horizon and your above-average risk tolerance, our recommendation regarding MongoDB is 'Cautious Hold'. Macroaxis provides MongoDB buy-hold-or-sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding MongoDB positions. The advice algorithm takes into account all of MongoDB's available fundamental, technical, and predictive indicators you will find on this site. Key drivers impacting MongoDB's buy or sell advice are summarized below:
Real Value 387.98 | Target Price 432.52 | Hype Value 369.45 | Market Value 369.29 | Naive Value 343.39 |
A buy or sell recommendation provided by Macroaxis is an automated directive regarding whether to purchase or sell MongoDB given historical horizon and risk tolerance towards MongoDB. When Macroaxis issues a 'buy' or 'sell' recommendation for MongoDB, the advice is generated through an automated system that utilizes algorithms and statistical models.
MongoDB |
Execute MongoDB Buy or Sell Advice
The MongoDB recommendation should be used to complement the buy-or-sell advice compiled from the current analysts' consensus on MongoDB. Macroaxis does not own or have any residual interests in MongoDB or other equities on which the buy-or-sell advice is provided. Please provide your input below to execute MongoDB's advice using the current market data and latest reported fundamentals.
Time Horizon
Risk Tolerance
 |  |
Cautious Hold
Market Performance | Very Weak | Details | |
Volatility | Very steady | Details | |
Hype Condition | Low key | Details | |
Current Valuation | Undervalued | Details | |
Odds Of Distress | Low | Details | |
Economic Sensitivity | Hyperactively responds to market trends | Details | |
Investor Sentiment | Alarmed | Details | |
Analyst Consensus | Strong Buy | Details | |
Financial Strenth (F Score) | Poor | Details | |
Financial Leverage | Inapplicable | Details | |
Reporting Quality (M-Score) | Unlikely Manipulator | Details |
MongoDB Trading Alerts and Improvement Suggestions
| MongoDB generated a negative expected return over the last 90 days | |
| MongoDB has high historical volatility and very poor performance | |
| The company reported the last year's revenue of 1.68 B. Reported Net Loss for the year was (176.6 M) with profit before taxes, overhead, and interest of 934.74 M. | |
| MongoDB has a poor financial position based on the latest SEC disclosures | |
| Over 93.0% of the company shares are owned by institutional investors | |
| Latest headline from finance.yahoo.com: Why MongoDB Stock Is Up Today |
MongoDB Returns Distribution Density
The distribution of MongoDB's historical returns is an attempt to chart the uncertainty of MongoDB's future price movements. The chart of the probability distribution of MongoDB daily returns describes the distribution of returns around its average expected value. We use MongoDB price's Value At Risk and its Upside Potential as a relative measure of the distribution. The graph of the distribution of MongoDB returns is essential to provide solid investment advice for MongoDB.
| Mean Return | -0.09 | Value At Risk | -4.29 | Potential Upside | 5.55 | Standard Deviation | 2.98 |
Return Density |
| Distribution |
Investment risk management requires an estimate of the probability of extreme price changes. Therefore, the correct representation of the distribution of MongoDB historical returns presented in an easy-to-digest graphical form helps investors and money managers understand the risk-reward trade-off of different investement strategies.
MongoDB Stock Institutional Investors
Have you ever been surprised when a price of an equity instrument such as MongoDB is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading MongoDB backward and forwards among themselves. MongoDB's institutional investor refers to the entity that pools money to purchase MongoDB's securities or originates loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
| Shares | Geode Capital Management, Llc | 2023-12-31 | 1.1 M | Morgan Stanley - Brokerage Accounts | 2023-12-31 | 1.1 M | Norges Bank | 2023-12-31 | 797.9 K | Capital Research Global Investors | 2023-12-31 | 768.9 K | Goldman Sachs Group Inc | 2023-12-31 | 720.7 K | Bank Of America Corp | 2023-12-31 | 696.3 K | Marshall Wace Asset Management Ltd | 2023-12-31 | 686.5 K | 1832 Asset Management L.p | 2023-12-31 | 668.3 K | Ing Investment Management Llc | 2023-12-31 | 617.7 K | Vanguard Group Inc | 2023-12-31 | 6.8 M | Blackrock Inc | 2023-12-31 | 6.2 M |
MongoDB Cash Flow Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Change To Inventory | 4.8M | 8.0M | 14.1M | 41.3M | 47.5M | 49.9M | |
| Investments | 40.5M | (262.7M) | (839.6M) | (23.0M) | 188.0M | 197.4M | |
| Change In Cash | 558.4M | (276.5M) | 44.2M | (18.1M) | 347.1M | 364.5M | |
| Net Borrowings | 653.9M | (3.8M) | (33.2M) | (4.5M) | (4.1M) | (3.9M) | |
| Free Cash Flow | (33.1M) | (54.4M) | (1.1M) | (20.2M) | 115.4M | 121.2M | |
| Depreciation | 19.8M | 24.5M | 24.5M | 29.2M | 32.1M | 18.0M | |
| Other Non Cash Items | 27.1M | 49.3M | 13.1M | (3.2M) | (40.4M) | (38.4M) | |
| Capital Expenditures | 3.6M | 11.8M | 8.1M | 7.2M | 6.1M | 5.8M | |
| Net Income | (175.5M) | (266.9M) | (306.9M) | (345.4M) | (176.6M) | (185.4M) | |
| End Period Cash Flow | 706.7M | 430.2M | 474.4M | 456.3M | 803.0M | 843.1M | |
| Change To Netincome | 87.0M | 149.1M | 257.5M | 380.3M | 437.3M | 459.2M | |
| Change Receivables | (12.7M) | (47.6M) | (62.3M) | (91.5M) | (82.3M) | (78.2M) |
MongoDB Greeks
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to MongoDB or IT Services sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that MongoDB's price will be affected by overall stock market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a MongoDB stock's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
α | Alpha over NYSE Composite | -0.29 | |
β | Beta against NYSE Composite | 2.18 | |
σ | Overall volatility | 3.04 | |
Ir | Information ratio | -0.06 |
MongoDB Volatility Alert
MongoDB exhibits very low volatility with skewness of 0.33 and kurtosis of 0.72. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure MongoDB's stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact MongoDB's stock price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.MongoDB Implied Volatility
MongoDB's implied volatility exposes the market's sentiment of MongoDB stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if MongoDB's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that MongoDB stock will not fluctuate a lot when MongoDB's options are near their expiration.
MongoDB Fundamentals Vs Peers
Comparing MongoDB's fundamentals to the average values of its peers is one of the most widely used and accepted methods of equity analyses. It helps to analyze MongoDB's direct or indirect competition across all of the common fundamentals between MongoDB and the related equities. This way, we can detect undervalued stocks with similar characteristics as MongoDB or determine the stocks which would be an excellent addition to an existing portfolio. Peer analysis of MongoDB's fundamental indicators could also be used in its relative valuation, which is a method of valuing MongoDB by comparing valuation metrics with those of similar companies.
| Better Than Average | Worse Than Average | Compare MongoDB to competition |
| Fundamentals | MongoDB | Peer Average |
| Return On Equity | -0.2 | -0.31 |
| Return On Asset | -0.0535 | -0.14 |
| Profit Margin | (0.10) % | (1.27) % |
| Operating Margin | (0.15) % | (5.51) % |
| Current Valuation | 23.99 B | 16.62 B |
| Shares Outstanding | 72.83 M | 571.82 M |
| Shares Owned By Insiders | 3.39 % | 10.09 % |
| Shares Owned By Institutions | 92.75 % | 39.21 % |
| Number Of Shares Shorted | 3.76 M | 4.71 M |
| Price To Earning | (15.88) X | 28.72 X |
| Price To Book | 23.99 X | 9.51 X |
| Price To Sales | 15.24 X | 11.42 X |
| Revenue | 1.68 B | 9.43 B |
| Gross Profit | 934.74 M | 27.38 B |
| EBITDA | (233.73 M) | 3.9 B |
| Net Income | (176.6 M) | 570.98 M |
| Cash And Equivalents | 1.8 B | 2.7 B |
| Cash Per Share | 26.13 X | 5.01 X |
| Total Debt | 1.23 B | 5.32 B |
| Debt To Equity | 1.85 % | 48.70 % |
| Current Ratio | 4.02 X | 2.16 X |
| Book Value Per Share | 14.70 X | 1.93 K |
| Cash Flow From Operations | 121.48 M | 971.22 M |
| Short Ratio | 2.23 X | 4.00 X |
| Earnings Per Share | (2.48) X | 3.12 X |
| Price To Earnings To Growth | 1.67 X | 4.89 X |
| Target Price | 449.2 | |
| Number Of Employees | 5.04 K | 18.84 K |
| Beta | 1.21 | -0.15 |
| Market Capitalization | 26.68 B | 19.03 B |
| Total Asset | 2.87 B | 29.47 B |
| Retained Earnings | (1.71 B) | 9.33 B |
| Working Capital | 1.92 B | 1.48 B |
Note: Disposition of 300 shares by Botha Roelof of MongoDB at 375.13 subject to Rule 16b-3 [view details]
MongoDB Market Momentum
Traders often use several daily momentume indicators to supplement a more traditional technical analysis when analyzing securities such as MongoDB . With many different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 31095.79 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 366.41 | |||
| Day Typical Price | 367.37 | |||
| Price Action Indicator | 2.89 | |||
| Relative Strength Index | 23.89 |
About MongoDB Buy or Sell Advice
When is the right time to buy or sell MongoDB? Buying financial instruments such as MongoDB Stock isn't very hard. However, what challenging for most investors is doing it at the right time to beat the market. Proper market timing is something most people cannot do without sophisticated tools, which help to isolate the right opportunities. Macroaxis provides hands-on modules to deliver winning trades and diversify your portfolios on a daily basis. Most of our advising modules are very easy to use and apply.
Please read more on our stock advisor page.| 2021 | 2022 | 2023 | 2024 (projected) | Other Current Liabilities | 161.4M | 142.8M | 181.2M | 94.7M | Total Assets | 2.4B | 2.6B | 2.9B | 1.5B |
Use Investing Ideas to Build Portfolios
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 Gold and Gold Mining Thematic Idea Now
Gold and Gold Mining
Large and mid-size companies, ETFs and funds that are either investing, exploring or producing, gold or indirectly involved in trading or making gold products. The Gold and Gold Mining theme has 100 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 Gold and Gold Mining Theme or any other thematic opportunities.
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Check out MongoDB Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with the current analyst consensus. To check ratings for multiple equity instruments, please use the Instant Ratings tool. 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
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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| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |
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.