Is MongoDB Stock a Good Investment?

MongoDB Investment Advice

MDB

To provide specific investment advice or recommendations on MongoDB stock, we recommend investors consider the following general factors when evaluating MongoDB. This will help you to make an informed decision on whether to include MongoDB in one of your diversified portfolios:

Examine MongoDB's financial health by looking at its balance sheet, income statement, and cash flow statement. Analyze key financial ratios, such as Price-to-Earnings (P/E), Price-to-Sales (P/S), and Price-to-Book (P/B), to determine whether the stock is fairly valued or over/undervalued.
Research MongoDB's leadership team and their track record. Good management can help MongoDB navigate difficult times and make strategic decisions that benefit shareholders and increases its net worth.
Consider the overall health of the Internet Services & Infrastructure space and any emerging trends that could impact MongoDB's business and its evolving consumer preferences.
Compare MongoDB's performance and market position to its competitors. Analyze how MongoDB is positioned in terms of product offerings, innovation, and market share.
Check if MongoDB pays a dividend and its dividend yield and payout ratio.
Review what financial analysts are saying about MongoDB's stock and their price targets. However, remember that analysts' opinions can vary, and their predictions may not always be accurate.

It's important to note that investing in MongoDB stock, carries risks, and you should carefully consider your investment goals and risk tolerance before making any investment decisions. Also, remember that it's important for investors to have a long-term perspective and a well-diversified portfolio to manage the impact of stock market volatility on their investments. Below is a detailed guide on how to decide if MongoDB is a good investment.

Sell

Buy

Cautious Hold

Macroaxis provides trade recommendations on MongoDB to complement and cross-verify current analyst consensus on MongoDB. Our advice engine determines the firm's potential to grow exclusively from the perspective of an investor's current risk tolerance and investing horizon. To make sure MongoDB is not overpriced, please verify all MongoDB fundamentals, including its price to earning, net income, book value per share, as well as the relationship between the revenue and total debt . Given that MongoDB has a price to earning of (15.88) X, we recommend you to check MongoDB market performance and probability of bankruptcy to ensure the company can sustain itself in the current economic cycle given your last-minute risk tolerance and investing horizon.

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	Actively responds to the market	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

Examine MongoDB Stock

Researching MongoDB's stock involves analyzing various aspects of the company and its industry to make an informed investment decision. The key areas to focus on are fundamentals, business model and competitive advantage. It is also important to analyze trends in revenue, net income, and cash flow, as well as key financial ratios, such as price-to-earnings (P/E), price-to-sales (P/S), and debt-to-equity (D/E). About 93.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 1.67. MongoDB recorded a loss per share of 2.47. The entity had not issued any dividends in recent years.

To determine if MongoDB is a good investment, evaluating the company's potential for future growth is also very important. This may include expanding into new markets, launching new products or services, or improving operational efficiency. Companies with strong growth prospects can be more attractive investments. This aspect of the research should be conducted in the context of the overall market and industry in which the company operates and should include an analysis of growth potential, competitive landscape, and any regulatory or economic factors that could impact the business. Some of the essential points regarding MongoDB's research are outlined below:

	MongoDB generated a negative expected return over the last 90 days
	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: MongoDB, Inc. to Host Investor Session at MongoDB.local NYC 2024

MongoDB Quarterly Liabilities And Stockholders Equity

2.87 Billion

MongoDB uses earnings reports to provide investors with an update of all three financial statements, including the income statement, the balance sheet, and the cash flow statement. Therefore, it is also crucial when considering investing in MongoDB. Every quarterly earnings report provides investors with an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to MongoDB's previous reporting period. The quarterly earnings reports are usually disseminated to the public via Form 10-Q, which is a legal document filed with the Securities and Exchange Commission every quarter.

	13th of March 2024 Upcoming Quarterly Report	View
	6th of June 2024 Next Financial Report	View
	31st of January 2024 Next Fiscal Quarter End	View
	13th of March 2024 Next Fiscal Year End	View
	31st of October 2023 Last Quarter Report	View
	31st of January 2023 Last Financial Announcement	View

Earnings surprises can significantly impact MongoDB's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate. Below are the table of largest EPS Surprises MongoDB's investors have experienced.

Reported	Fiscal Date	Estimated EPS	Reported EPS	Surprise
2020-03-17	2020-01-31	-0.28	-0.25	0.03	10
2022-08-31	2022-07-31	-0.28	-0.23	0.05	17
2017-12-12	2017-10-31	-0.49	-0.44	0.05	10
2021-03-09	2021-01-31	-0.39	-0.33	0.06	15
2018-12-04	2018-10-31	-0.4	-0.3	0.1	25
2020-06-04	2020-04-30	-0.25	-0.13	0.12	48
2019-03-13	2019-01-31	-0.38	-0.26	0.12	31
2020-12-08	2020-10-31	-0.44	-0.31	0.13	29

Know MongoDB's Top 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 originate 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

Note, although MongoDB's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

MongoDB's market capitalization trends

The company currently falls under 'Large-Cap' category with a total capitalization of 24.44 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate MongoDB's market, we take the total number of its shares issued and multiply it by MongoDB's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Market Cap

29.96 Billion

MongoDB's profitablity analysis

MongoDB's profitability indicators refer to fundamental financial ratios that showcase MongoDB's ability to generate income relative to its revenue or operating costs. If, let's say, MongoDB is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, MongoDB's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of MongoDB's profitability requires more research than a typical breakdown of MongoDB's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.

	Last Reported	Projected for Next Year
Return On Tangible Assets	(0.06)	(0.07)
Return On Capital Employed	(0.10)	(0.11)
Return On Assets	(0.06)	(0.06)
Return On Equity	(0.17)	(0.16)

The company has Net Profit Margin of (0.1) %, which means that it does not effectively control expenditures or properly executes on its pricing strategies. This is way below average. In the same way, it shows Net Operating Margin of (0.15) %, which entails that for every $100 of revenue, it lost $0.15.

Determining MongoDB's profitability involves analyzing its financial statements and using various financial metrics to determine if MongoDB is a good buy. For example, gross profit margin measures MongoDB's profitability after accounting for the cost of goods sold, while net profit margin measures profitability after accounting for all expenses. Other important metrics include return on assets, return on equity, and free cash flow. By reviewing multiple sources and metrics, you can gain a complete picture of MongoDB's profitability and make more informed investment decisions.

The data published in MongoDB's official financial statements usually reflect MongoDB's business processes, product offerings, services, and other fundamental events. But there are other numbers, ratios, or fundamental indicators derived from these statements that are easier to understand and visualize within the underlying realities that drive quantitative information of MongoDB. For example, before you start analyzing numbers published by MongoDB accountants, it's critical to develop an understanding of what MongoDB's liquidity, profitability, and earnings quality are in the context of the IT Services space in which it operates.

Please note, the presentation of MongoDB's financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, MongoDB's management is honest, while the outside auditors are strict and uncompromising. Whatever the case, the imprecision that can be found in MongoDB's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of MongoDB. Please utilize our Beneish M Score to check the likelihood of MongoDB's management manipulating its earnings.

Evaluate MongoDB's management efficiency

MongoDB has Return on Asset of (0.0535) % which means that on every $100 spent on assets, it lost $0.0535. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of (0.1953) %, meaning that it generated no profit with money invested by stockholders. MongoDB's management efficiency ratios could be used to measure how well MongoDB manages its routine affairs as well as how well it operates its assets and liabilities. As of April 19, 2024, Return On Tangible Assets is expected to decline to -0.07. In addition to that, Return On Capital Employed is expected to decline to -0.11. At present, MongoDB's Net Tangible Assets are projected to increase significantly based on the last few years of reporting. The current year's Non Current Assets Total is expected to grow to about 502.4 M, whereas Total Assets are forecasted to decline to about 1.5 B.

	Last Reported	Projected for Next Year
Book Value Per Share	15.00	15.75
Net Current Asset Value	0.00	0.00
Tangible Asset Value	0.00	0.00
Tangible Book Value Per Share	13.97	14.67
Enterprise Value Over EBITDA	(123.91)	(130.10)
Price Book Value Ratio	26.69	28.03
Enterprise Value Multiple	(123.91)	(130.10)
Price Fair Value	26.69	28.03
Enterprise Value	29 B	30.4 B

The analysis of MongoDB's management efficiency is an essential part of evaluating and assessing the financial and operational performance of the entity. It is also vital to analyze MongoDB's future growth prospects and the overall market conditions to determine the value and potential of its stock. The analysis involves studying a range of financial metrics such as revenue, earnings, profit margins, cash flow, debt, market share, and external factors such as economic trends, industry outlook, competition, and government regulations. The goal of MongoDB Stock analysis is to determine whether it is undervalued, fairly valued, or overvalued and to make informed investment decisions.

Beta

1.21

Basic technical analysis of MongoDB Stock

As of the 19th of April, MongoDB secures the Mean Deviation of 2.07, standard deviation of 2.79, and Risk Adjusted Performance of (0.05). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of MongoDB, as well as the relationship between them. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We were able to break down thirteen technical drivers for MongoDB, which can be compared to its peers in the industry. Please verify MongoDB information ratio, value at risk, as well as the relationship between the Value At Risk and kurtosis to decide if MongoDB is priced some-what accurately, providing market reflects its recent price of 335.55 per share. Given that MongoDB has information ratio of (0.11), we recommend you to check MongoDB's last-minute market performance to make sure the company can sustain itself at a future point.

MongoDB's insider trading activities

Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific MongoDB insiders, such as employees or executives, is commonly permitted as long as it does not rely on MongoDB's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases MongoDB insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.

		Botha Roelof over a month ago Disposition of 300 shares by Botha Roelof of MongoDB at 375.13 subject to Rule 16b-3
		Kevin Ryan over a month ago Sale by Kevin Ryan of 5079 shares of MongoDB

Understand MongoDB's technical and predictive indicators

Using predictive indicators to make investment decisions involves analyzing MongoDB's various financial and market-based factors to help forecast future trends and identify investment opportunities. Select the indicators that are most relevant to your investment strategy. Each indicator has its own strengths and weaknesses, so it's essential to combine multiple indicators to get a more comprehensive view of the market and reduce the risk of making poor decisions based on limited data.

	Risk Adjusted Performance	(0.05)
	Market Risk Adjusted Performance	(0.13)
	Mean Deviation	2.07
	Coefficient Of Variation	(1,125)
	Standard Deviation	2.79
	Variance	7.78
	Information Ratio	(0.11)
	Jensen Alpha	(0.37)
	Total Risk Alpha	(0.52)
	Treynor Ratio	(0.14)
	Maximum Drawdown	14.33
	Value At Risk	(4.29)
	Potential Upside	5.43
	Skewness	0.198
	Kurtosis	0.8522

	Risk Adjusted Performance	(0.05)
	Market Risk Adjusted Performance	(0.13)
	Mean Deviation	2.07
	Coefficient Of Variation	(1,125)
	Standard Deviation	2.79
	Variance	7.78
	Information Ratio	(0.11)
	Jensen Alpha	(0.37)
	Total Risk Alpha	(0.52)
	Treynor Ratio	(0.14)
	Maximum Drawdown	14.33
	Value At Risk	(4.29)
	Potential Upside	5.43
	Skewness	0.198
	Kurtosis	0.8522

Consider MongoDB's intraday indicators

MongoDB intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of MongoDB stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

	Accumulation Distribution	38886.96
	Daily Balance Of Power	(0.58)
	Rate Of Daily Change	0.98
	Day Median Price	338.95
	Day Typical Price	337.82
	Price Action Indicator	(7.00)
	Period Momentum Indicator	(7.20)

MongoDB Corporate Filings

F4	11th of April 2024 The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities	View Verify
10K	15th of March 2024 Annual report required by the U.S. Securities and Exchange Commission (SEC) of a company financial performance	View Verify
8K	7th of March 2024 Report filed with the SEC to announce major events that shareholders should know about	View Verify
13A	13th of February 2024 An amended filing to the original Schedule 13G	View Verify

MongoDB time-series forecasting models is one of many MongoDB's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary MongoDB's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

MongoDB Stock media impact

Far too much social signal, news, headlines, and media speculation about MongoDB that are available to investors today. That information is available publicly through MongoDB media outlets and privately through word of mouth or via MongoDB internal channels. However, regardless of the origin, that massive amount of MongoDB data is challenging to quantify into actionable patterns, especially for investors that are not very sophisticated with ever-evolving tools and techniques used in the investment management field.

A primary focus of MongoDB news analysis is to determine if its current price reflects all relevant headlines and social signals impacting the current market conditions. A news analyst typically looks at the history of MongoDB relative headlines and hype rather than examining external drivers such as technical or fundamental data. It is believed that price action tends to repeat itself due to investors' collective, patterned thinking related to MongoDB's headlines and news coverage data. This data is often completely overlooked or insufficiently analyzed for actionable insights to drive MongoDB alpha.

MongoDB Sentiment by Major News Outlets

Investor sentiment, mood or attitude towards MongoDB can have a significant impact on its stock price or the market as a whole. This sentiment can be positive or negative, and various factors, such as economic indicators, news events, or market trends, can influence it. When investor sentiment is positive, investors are more likely to buy stocks, increasing demand and increasing the stock price. Positive investor sentiment can be driven by good news about the company or the broader market, such as solid earnings reports or positive economic data.

Note that negative investor sentiment can cause investors to sell stocks, leading to a decrease in demand and a drop in the stock price. Negative sentiment can be driven by factors such as poor earnings reports, negative news about the company or industry, or broader economic concerns. It's important to note that investor sentiment is just one of many factors that can affect stock prices. Other factors, such as company performance, industry trends, and global economic conditions, can also play a significant role in determining the value of a stock.

MongoDB Historical Investor Sentiment

Investor biases related to MongoDB's public news can be used to forecast risks associated with an investment in MongoDB. The trend in average sentiment can be used to explain how an investor holding MongoDB can time the market purely based on public headlines and social activities around MongoDB. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.

MongoDB's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for MongoDB and other traded tickers. The bigger the bubble, the more accurate the estimated score. Higher bars for a given day show more participation in the average MongoDB news discussions. The higher the estimate score, the more favorable the investor's outlook on MongoDB.

MongoDB Maximum Pain Price across 2024-04-19 Option Contracts

MongoDB's options can also be used to analyze investors' bias and current market sentiment in the context of behavioral finance. For example, Max pain usually refers to a trading concept that asserts that market manipulation can cause the market price of MongoDB close to the expiration of its current option contract to expire worthlessly. According to most research, about 35% of options are not executed, with roughly 50% traded out before expiration. So, Max pain occurs when market makers reach a net favorable position across all options at a strike price where option holders stand to lose the most money. By contrast, option sellers may reap the most after selling more options than buying, causing them to expire worthlessly. Please continue to view the detailed analysis of MongoDB's options.

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.

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MongoDB Corporate Management

Elected by the shareholders, the MongoDB's board of directors comprises two types of representatives: MongoDB inside directors who are chosen from within the company, and outside directors, selected externally and held independent of MongoDB. The board's role is to monitor MongoDB's management team and ensure that shareholders' interests are well served. MongoDB's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, MongoDB's outside directors are responsible for providing unbiased perspectives on the board's policies.

Andrew Stephens	General Secretary	Profile
Mindy Lieberman	Chief Officer	Profile
Cedric Pech	Chief Officer	Profile
Harsha Jalihal	Chief Officer	Profile

How to buy MongoDB Stock?

Examine MongoDB's financial health by looking at its balance sheet, income statement, and cash flow statement. Analyze key financial ratios, such as Price-to-Earnings (P/E), Price-to-Sales (P/S), and Price-to-Book (P/B), to determine whether the stock is fairly valued or over/undervalued.
Research MongoDB's leadership team and their track record. Good management can help MongoDB navigate difficult times and make strategic decisions that benefit shareholders and increases its net worth.
Consider the overall health of the Internet Services & Infrastructure space and any emerging trends that could impact MongoDB's business and its evolving consumer preferences.
Compare MongoDB's performance and market position to its competitors. Analyze how MongoDB is positioned in terms of product offerings, innovation, and market share.
Check if MongoDB pays a dividend and its dividend yield and payout ratio.
Review what financial analysts are saying about MongoDB's stock and their price targets. However, remember that analysts' opinions can vary, and their predictions may not always be accurate.

Already Invested in MongoDB?

The danger of trading MongoDB is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of MongoDB is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than MongoDB. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile MongoDB is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.

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: