This module uses fundamental data of MongoDB to approximate the value of its Beneish M Score. MongoDB M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out MongoDB Piotroski F Score and MongoDB Altman Z Score analysis. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
MongoDB
Beneish M Score
Net Income Per Employee
Revenue Per Employee
Average Assets
Earnings Before Interest Taxes and Depreciation Amortization EBITDA
Earnings Before Interest Taxes and Depreciation Amortization USD
Earnings before Tax
Average Equity
Enterprise Value
Free Cash Flow
Invested Capital
Invested Capital Average
Market Capitalization
Tangible Asset Value
Working Capital
Long Term Debt to Equity
PPandE Turnover
Receivables Turnover
Accounts Payable Turnover
Accrued Expenses Turnover
Operating Margin
Cash and Equivalents Turnover
Return on Investment
Cash Flow Per Share
Revenue to Assets
Total Assets Per Share
Quick Ratio
Net Current Assets as percentage of Total Assets
Asset Turnover
Book Value per Share
Current Ratio
Debt to Equity Ratio
EBITDA Margin
Earnings per Basic Share
Earnings per Diluted Share
Earnings per Basic Share USD
Enterprise Value over EBIT
Enterprise Value over EBITDA
Free Cash Flow per Share
Gross Margin
Profit Margin
Price to Book Value
Price to Earnings Ratio
Price to Sales Ratio
Return on Average Assets
Return on Average Equity
Return on Invested Capital
Return on Sales
Sales per Share
Tangible Assets Book Value per Share
Capital Expenditure
Depreciation Amortization and Accretion
Net Cash Flow or Change in Cash and Cash Equivalents
Net Cash Flow Business Acquisitions and Disposals
Issuance Purchase of Equity Shares
Issuance Repayment of Debt Securities
Net Cash Flow from Financing
Net Cash Flow from Investing
Net Cash Flow Investment Acquisitions and Disposals
Net Cash Flow from Operations
Effect of Exchange Rate Changes on Cash
Share Based Compensation
Receivables
Accounts Payable
Accumulated Other Comprehensive Income
Total Assets
Current Assets
Assets Non Current
Cash and Equivalents
Cash and Equivalents USD
Total Debt
Debt Current
Debt Non Current
Total Debt USD
Deferred Revenue
Shareholders Equity Attributable to Parent
Shareholders Equity USD
Goodwill and Intangible Assets
Investments
Investments Current
Total Liabilities
Current Liabilities
Liabilities Non Current
Trade and Non Trade Payables
Property Plant and Equipment Net
Trade and Non Trade Receivables
Accumulated Retained Earnings Deficit
Tax Assets
Tax Liabilities
Direct Expenses
Consolidated Income
Cost of Revenue
Earning Before Interest and Taxes EBIT
Earning Before Interest and Taxes USD
Gross Profit
Interest Expense
Net Income
Net Income Common Stock
Net Income Common Stock USD
Operating Expenses
Operating Income
Revenues
Revenues USD
Research and Development Expense
Selling General and Administrative Expense
Weighted Average Shares
Weighted Average Shares Diluted
Income Tax Expense
Probability Of Bankruptcy
MongoDB Long Term Debt to Equity is projected to increase slightly based on the last few years of reporting. The past year's Long Term Debt to Equity was at 1.54. The current year's Debt to Equity Ratio is expected to grow to 2.70, whereas Total Debt is forecasted to decline to about 1.1 B. MongoDB Long Term Debt to Equity is projected to increase slightly based on the last few years of reporting. The past year's Long Term Debt to Equity was at 1.54. The current year's PPandE Turnover is expected to grow to 23.00, whereas Receivables Turnover is forecasted to decline to 4.82.
At this time, it appears that MongoDB is an unlikely manipulator. The earnings manipulation may begin if MongoDB's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by MongoDB executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of MongoDB's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if MongoDB's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to detect the potential manipulation of earnings. Understanding the correlation between MongoDB's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards MongoDB in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find MongoDB's degree of accounting gimmicks and manipulations.
M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.
Operating Expenses
1.38 Billion
MongoDB Operating Expenses is projected to increase significantly based on the last few years of reporting. The past year's Operating Expenses was at 1.28 Billion
MongoDB Earnings Manipulation Drivers
Although earnings manipulation is typically not the result of intentional misconduct by the c-level executives, it is still a widespread practice by the senior management of public companies such as MongoDB. It is usually done by a series of misrepresentations of various accounting rules and operating activities across multiple financial cycles. The best way to spot the manipulation is to examine the historical financial statement to find inconsistencies in earning reports to find trends in assets or liabilities that are not sustainable in the future.
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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Check out MongoDB Piotroski F Score and MongoDB Altman Z Score 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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.
Check upcoming earnings announcements updated hourly across public exchanges
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
(3.27)
Revenue Per Share
21.279
Quarterly Revenue Growth
0.396
Return On Assets
(0.07)
Return On Equity
(0.31)
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.
