Mongodb Stock Z Score

MDB Stock  USD 449.98  22.49  5.26%   
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out MongoDB Piotroski F Score and MongoDB Valuation analysis.
For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
  
At present, MongoDB's Invested Capital is projected to increase significantly based on the last few years of reporting. The current year's Invested Capital Average is expected to grow to about 3 B, whereas Capital Expenditure is forecasted to decline to (7 M). At present, MongoDB's Direct Expenses is projected to increase significantly based on the last few years of reporting. The current year's Cost of Revenue is expected to grow to about 433.4 M, whereas Consolidated Income is forecasted to decline to (319 M).

MongoDB Z Score Analysis

MongoDB's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
 2021 2022 2023 2024 (projected)
Interest Expense11.3M9.8M11.3M13.8M
Gross Profit614.3M934.7M1.1B1.2B

Z Score

 = 

Sum Of

5 Factors

More About Z Score | All Equity Analysis

Current MongoDB Z Score

    
  16.47  
Most of MongoDB's fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, MongoDB is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

First Factor

 = 

1.2 * (

Working Capital

/

Total Assets )

Second Factor

 = 

1.4 * (

Retained Earnings

/

Total Assets )

Thrid Factor

 = 

3.3 * (

EBITAD

/

Total Assets )

Fouth Factor

 = 

0.6 * (

Market Value of Equity

/

Total Liabilities )

Fifth Factor

 = 

0.99 * (

Revenue

/

Total Assets )

MongoDB Z Score Driver Correlations

Understanding the fundamental principles of building solid financial models for MongoDB is extremely important. It helps to project a fair market value of MongoDB Stock properly, considering its historical fundamentals such as Z Score. Since MongoDB's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of MongoDB's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of MongoDB's interrelated accounts and indicators.
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Competition

Based on the company's disclosures, MongoDB has a Z Score of 16.47. This is 22.45% higher than that of the IT Services sector and significantly higher than that of the Information Technology industry. The z score for all United States stocks is 88.88% lower than that of the firm.

MongoDB Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses MongoDB's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of MongoDB could also be used in its relative valuation, which is a method of valuing MongoDB by comparing valuation metrics of similar companies.
MongoDB is currently under evaluation in z score category among related companies.

MongoDB Current Valuation Drivers

We derive many important indicators used in calculating different scores of MongoDB from analyzing MongoDB's financial statements. These drivers represent accounts that assess MongoDB's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of MongoDB's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Net Income Per Employee(96.8K)(104.9K)(86.6K)(74.8K)(67.3K)(72.6K)
Revenue Per Employee232.6K231.9K246.6K278.0K250.2K221.4K
Average Assets884.8M1.4B2.1B2.5B2.9B3.1B
Earnings Before Interest Taxes and Depreciation Amortization EBITDA(135.4M)(182.1M)(267.1M)(294.3M)(264.8M)(271.8M)
Earnings Before Interest Taxes and Depreciation Amortization USD(135.4M)(182.1M)(267.1M)(294.3M)(264.8M)(271.8M)
Earnings before Tax(176.2M)(262.7M)(302.9M)(333.3M)(299.9M)(307.8M)
Average Equity197.2M32.0M433.7M691.2M794.9M857.6M
Enterprise Value9.4B22.8B27.5B15.0B17.3B16.9B
Free Cash Flow(33.1M)(54.4M)(1.1M)(20.2M)(23.2M)(25.1M)
Invested Capital1.2B1.5B2.6B2.7B3.1B3.3B
Invested Capital Average705.2M1.5B2.1B2.4B2.8B3.0B
Market Capitalization9.3B22.3B27.0B14.8B17.1B16.7B
Tangible Asset Value1.2B1.3B2.4B2.5B2.9B3.1B
Working Capital870.8M787.3M1.6B1.6B1.9B2.0B

MongoDB Institutional Holders

Institutional Holdings refers to the ownership stake in MongoDB that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of MongoDB's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing MongoDB's value.
Shares
Amvescap Plc.2023-09-30
1.2 M
Geode Capital Management, Llc2023-09-30
M
Amundi2023-09-30
846.1 K
Ing Investment Management Llc2023-09-30
844.4 K
Norges Bank2023-12-31
797.9 K
Capital Research Global Investors2023-12-31
768.9 K
1832 Asset Management L.p2023-09-30
724.2 K
T. Rowe Price Investment Management,inc.2023-09-30
549.5 K
Allspring Global Investments Holdings, Llc2023-12-31
535.2 K
Vanguard Group Inc2023-09-30
6.6 M
Blackrock Inc2023-09-30
5.6 M

MongoDB Fundamentals

About MongoDB Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze MongoDB's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of MongoDB using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of MongoDB based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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.

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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:
Check out MongoDB Piotroski F Score and MongoDB Valuation 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

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
(2.79)
Revenue Per Share
22.487
Quarterly Revenue Growth
0.298
Return On Assets
(0.06)
Return On Equity
(0.22)
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.