MongoDB Stock Analysis

MDB Stock  USD 388.57  12.27  3.26%   
The current price rise of MongoDB may encourage investors to take a closer look at the firm as it is trading at a share price of 388.57 on 2,814,796 in trading volume. The company executives may have good odds in positioning the firm resources to exploit market volatility in July. The stock standard deviation of daily returns for 90 days investing horizon is currently 5.03. The very high volatility is mostly attributed to the latest market swings and not very good earnings reports from some of the MongoDB partners.
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in MongoDB. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in price. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
The main objective of MongoDB stock analysis is to determine its intrinsic value, which is an estimate of what MongoDB is worth, separate from its market price. There are two main types of MongoDB's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect MongoDB's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of MongoDB's stock to identify patterns and trends that may indicate its future price movements.
The MongoDB stock is traded in the USA on NASDAQ Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. MongoDB is usually not traded on Christmas Day, Thanksgiving Day, Christmas Day ( substitute day ), New Year 's Monday, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday, Memorial Day, Juneteenth Holiday, Independence Day, Labour Day, Veterans Day ( substitute day ). MongoDB Stock trading window is adjusted to America/New York timezone. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and MongoDB's ongoing operational relationships across important fundamental and technical indicators.

MongoDB Stock Analysis Notes

About 93.0% of the company shares are owned by institutional investors. The company recorded a loss per share of 6.43. MongoDB had not issued any dividends in recent years. MongoDB, Inc. provides general purpose database platform worldwide. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York. Mongodb Inc operates under SoftwareInfrastructure classification in the United States and is traded on NASDAQ Exchange. It employs 4240 people. To find out more about MongoDB contact Dev Ittycheria at 646 727-4092 or learn more at

MongoDB Quarterly Cost of Revenue

89.16 Million

MongoDB Investment Alerts

Many investors view ongoing market volatility as an opportunity to purchase more stocks at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. MongoDB's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding MongoDB or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
MongoDB is way too risky over 90 days horizon
MongoDB appears to be risky and price may revert if volatility continues
MongoDB is unlikely to experience financial distress in the next 2 years
The company reported the last year's revenue of 1.28 B. Reported Net Loss for the year was (345.4 M) with profit before taxes, overhead, and interest of 934.74 M.
MongoDB has about 1.8 B in cash with (12.97 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 26.13.
Over 93.0% of the company shares are owned by institutional investors
Latest headline from MongoDB stock streaks toward best day ever after big beat, forecast

MongoDB Upcoming and Recent Events

Earnings reports are used by MongoDB to provide an update of all three financial statements, including the income statement, the balance sheet, and the cash flow statement. Every quarterly earnings report provides investors with three things: an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to MongoDB 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.
1st of June 2023
Upcoming Quarterly Report
30th of August 2023
Next Financial Report
30th of April 2023
Next Fiscal Quarter End
13th of March 2024
Next Fiscal Year End
31st of January 2023
Last Quarter Report
31st of January 2023
Last Financial Announcement

MongoDB Largest EPS Surprises

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.
Fiscal Date
Estimated EPS
Reported EPS
View All Earnings Estimates
View All Earnings Estimates

MongoDB SEC Filings

SEC filings are important regulatory documents required of all public companies to provide to potential investors. MongoDB prospectus issued under the guidelines of SEC is a legal declaration of facts and statements to ensure that MongoDB investors are not misled. SEC filings are required by law to meet strict transparency standards and other important legal constraints. Although many companies may choose careful wording to disguise some material information, SEC filings make crucial MongoDB specific information freely available to individual and institutional make a timely investment decision.
10th of April 2023
Unclassified Corporate Event
8th of March 2023
Financial Statements and Exhibits. Results of Operations and Financial Condition
14th of February 2023
Unclassified Corporate Event
9th of February 2023
Unclassified Corporate Event
31st of January 2023
Unclassified Corporate Event
9th of December 2022
Unclassified Corporate Event
6th of December 2022
Financial Statements and Exhibits. Results of Operations and Financial Condition
31st of August 2022
Financial Statements and Exhibits. Results of Operations and Financial Condition

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 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.
Last TransactionTypeSharesValue
Price T Rowe Associates Inc2023-03-31Common Shares7.6 M1.8 B
Vanguard Group Inc2023-03-31Common Shares6.4 M1.5 B
Fmr Llc2023-03-31Common Shares5.1 M1.2 B
Jpmorgan Chase Co2023-03-31Common Shares3.6 M837 M
Wellington Management Group Llp2023-03-31Common Shares2.4 M562.2 M
Franklin Resources Inc2023-03-31Common Shares1.9 M437.8 M
State Street Corp2023-03-31Common Shares1.4 M323.3 M
Voya Investment Management Llc2023-03-31Common Shares1.3 M313.9 M
Invesco Ltd2023-03-31Common Shares1.2 M274.1 M
Geode Capital Management Llc2023-03-31Common Shares967.3 K225.2 M
Holocene Advisors Lp2023-03-31Common Shares692.8 K161.5 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 Market Capitalization

The company currently falls under 'Large-Cap' category with a total capitalization of 26.54 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.

MongoDB Profitablity

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 ReportedProjected for 2023
Return on Investment(18.83) (20.31) 
Return on Average Assets(0.14) (0.15) 
Return on Average Equity(0.50) (0.54) 
Return on Invested Capital(0.13) (0.14) 
Return on Sales(0.25) (0.27) 

Management Efficiency

MongoDB has Return on Asset of (0.086) % which means that on every $100 spent on assets, it lost $0.086. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of (0.4913) %, 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 June 5, 2023, Return on Investment is expected to decline to -20.31. In addition to that, Return on Average Assets is expected to decline to -0.15. MongoDB Total Assets are projected to increase significantly based on the last few years of reporting. The past year's Total Assets were at 2.59 Billion. The current year's Current Assets is expected to grow to about 2.4 B, whereas Assets Non Current are forecasted to decline to about 290.4 M.
Last ReportedProjected for 2023
Book Value per Share 10.78  11.62 
Enterprise Value over EBIT(46.00) (49.63) 
Enterprise Value over EBITDA(51.06) (55.10) 
Price to Book Value 20.07  21.65 
Tangible Assets Book Value per Share 36.72  32.22 
Enterprise Value15 B15.7 B
Tangible Asset Value2.5 B2.7 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.
Long Term Debt Total
1.1 B
Non Current Liabilities Total
1.3 B
Short Long Term Debt Total
1.2 B
Interest Expense
9.8 M
Total Operating Expenses
1.3 B

Technical Drivers

As of the 5th of June, MongoDB secures the Mean Deviation of 3.12, risk adjusted performance of 0.1974, and Downside Deviation of 3.81. 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 nineteen technical drivers for MongoDB, which can be compared to its peers in the industry. Please verify MongoDB value at risk, and the relationship between the jensen alpha and semi variance to decide if MongoDB is priced some-what accurately, providing market reflects its recent price of 388.57 per share. Given that MongoDB has jensen alpha of 1.02, we recommend you to check MongoDB's last-minute market performance to make sure the company can sustain itself at a future point.

MongoDB Price Movement Analysis

Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to MongoDB changes than the simple moving average.

MongoDB Predictive Daily 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.

MongoDB Forecast Models

MongoDB's time-series forecasting models are one of many MongoDB's stock analysis techniques aimed at predicting 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.

About MongoDB Stock Analysis

Stock analysis is the technique used by a trader or investor to examine and evaluate how MongoDB prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling MongoDB shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as MongoDB. By using and applying MongoDB Stock analysis, traders can create a robust methodology for identifying MongoDB entry and exit points for their positions.
Last ReportedProjected for 2023
Operating Margin(27.00) (29.13) 
EBITDA Margin(0.23) (0.25) 
Gross Margin 0.73  0.80 
Profit Margin(0.27) (0.29) 

Current MongoDB Analysis - Recommendations

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. MongoDB analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. MongoDB analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.
Target PriceAdvice# of Analysts
MongoDB current and past analyst recommendations published by a number of research institutions as well as average analyst consensus.
Most MongoDB analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand MongoDB stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of MongoDB, talking to its executives and customers, or listening to MongoDB conference calls.
MongoDB Analyst Advice Details

MongoDB Stock Analysis Indicators

MongoDB stock analysis indicators help investors evaluate how MongoDB stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading MongoDB shares will generate the highest return on investment. By understating and applying MongoDB stock analysis, traders can identify MongoDB position entry and exit signals to maximize returns.
Begin Period Cash Flow474.4 M
Common Stock Shares Outstanding68.6 M
Total Stockholder Equity739.5 M
Total Cashflows From Investing Activities-33.3 M
Tax Provision12.1 M
Property Plant And Equipment Net99 M
Cash And Short Term Investments1.8 B
Cash455.8 M
Accounts Payable8.3 M
Net Debt729 M
50 Day M A246.0378
Total Current Liabilities588.5 M
Other Operating Expenses1.6 B
Non Current Assets Total352.3 M
Forward Price Earnings312.5
Common Stock Total Equity70 K
Non Currrent Assets Other181.5 M
Stock Based Compensation381.5 M
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in MongoDB. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in price. 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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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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
Revenue Per Share
Quarterly Revenue Growth
Return On Assets
Return On Equity
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.