MongoDB Total Assets vs Accounts Payable Analysis
MDB Stock | USD 358.80 4.68 1.32% |
MongoDB financial indicator trend analysis is infinitely more than just investigating MongoDB recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether MongoDB is a good investment. Please check the relationship between MongoDB Total Assets and its Accounts Payable accounts. 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 unemployment. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
Total Assets vs Accounts Payable
Total Assets vs Accounts Payable Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of MongoDB Total Assets account and Accounts Payable. At this time, the significance of the direction appears to have very strong relationship.
The correlation between MongoDB's Total Assets and Accounts Payable is 0.84. Overlapping area represents the amount of variation of Total Assets that can explain the historical movement of Accounts Payable in the same time period over historical financial statements of MongoDB, assuming nothing else is changed. The correlation between historical values of MongoDB's Total Assets and Accounts Payable is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Assets of MongoDB are associated (or correlated) with its Accounts Payable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Accounts Payable has no effect on the direction of Total Assets i.e., MongoDB's Total Assets and Accounts Payable go up and down completely randomly.
Correlation Coefficient | 0.84 |
Relationship Direction | Positive |
Relationship Strength | Strong |
Total Assets
Total assets refers to the total amount of MongoDB assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in MongoDB books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. The total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets.Accounts Payable
An accounting item on the balance sheet that represents MongoDB obligation to pay off a short-term debt to its creditors. The accounts payable entry is usually reported under current liabilities. If accounts payable of MongoDB are not paid within the agreed terms, the payables are considered to be in default, which may trigger a penalty or interest payment, or the revocation of additional credit from the supplier. Accounts payable may also be considered a source of cash, since they represent funds being borrowed from suppliers. Given these cash flow considerations, suppliers have a natural inclination to push for shorter payment terms, while creditors want to lengthen the payment terms. The amount a company owes to suppliers or vendors for products or services received but not yet paid for. It represents the company's short-term liabilities.Most indicators from MongoDB's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into MongoDB current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. 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 unemployment. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.At present, MongoDB's Tax Provision is projected to increase significantly based on the last few years of reporting. The current year's Selling General Administrative is expected to grow to about 203.2 M, whereas Issuance Of Capital Stock is forecasted to decline to 0.00.
2021 | 2022 | 2023 | 2024 (projected) | Depreciation And Amortization | 24.5M | 29.2M | 32.1M | 18.0M | Interest Income | 926K | 24.9M | 80.2M | 84.2M |
MongoDB fundamental ratios Correlations
Click cells to compare fundamentals
MongoDB Account Relationship Matchups
High Positive Relationship
High Negative Relationship
MongoDB fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 1.3B | 1.4B | 2.4B | 2.6B | 2.9B | 1.5B | |
Other Current Liab | 68.3M | 126.7M | 161.4M | 142.8M | 181.2M | 94.7M | |
Total Current Liabilities | 242.4M | 354.5M | 526.7M | 588.5M | 564.2M | 335.8M | |
Total Stockholder Equity | 82.9M | (5.0M) | 666.7M | 739.5M | 1.1B | 1.1B | |
Other Liab | 24.9M | 26.8M | 23.3M | 41.0M | 47.2M | 41.3M | |
Net Tangible Assets | (7.8M) | (87.1M) | 588.3M | 670.3M | 770.8M | 809.4M | |
Property Plant And Equipment Net | 69.5M | 97.0M | 104.4M | 99.0M | 90.4M | 73.9M | |
Current Deferred Revenue | 167.5M | 221.4M | 352.0M | 428.7M | 357.1M | 231.5M | |
Net Debt | 216.7M | 549.5M | 709.4M | 729.0M | 424.7M | 309.7M | |
Retained Earnings | (668.2M) | (935.4M) | (1.2B) | (1.5B) | (1.7B) | (1.6B) | |
Accounts Payable | 2.8M | 4.1M | 5.2M | 8.3M | 9.9M | 10.4M | |
Cash | 706.2M | 429.7M | 473.9M | 455.8M | 803.0M | 843.1M | |
Non Current Assets Total | 215.4M | 265.6M | 332.2M | 352.3M | 478.5M | 502.4M | |
Non Currrent Assets Other | 54.2M | 84.6M | 142.2M | 171.2M | 296.8M | 311.6M | |
Other Assets | 55.3M | 86.1M | 149.4M | 174.3M | 200.4M | 210.4M | |
Long Term Debt | 911.1M | 937.7M | 1.1B | 1.1B | 1.1B | 670.7M | |
Cash And Short Term Investments | 986.5M | 957.7M | 1.8B | 1.8B | 2.0B | 1.1B | |
Net Receivables | 85.6M | 135.2M | 195.4M | 285.2M | 325.6M | 341.9M | |
Common Stock Total Equity | 57K | 61K | 67K | 70K | 80.5K | 52.9K | |
Common Stock Shares Outstanding | 55.9M | 59.0M | 64.6M | 68.6M | 71.2M | 58.1M | |
Short Term Investments | 280.3M | 528.0M | 1.4B | 1.4B | 1.2B | 662.0M | |
Long Term Debt Total | 970.3M | 937.7M | 1.1B | 1.1B | 1.3B | 692.0M | |
Liabilities And Stockholders Equity | 1.3B | 1.4B | 2.4B | 2.6B | 2.9B | 1.5B | |
Non Current Liabilities Total | 1.0B | 1.1B | 1.3B | 1.3B | 1.2B | 841.0M | |
Capital Surpluse | 752.1M | 932.3M | 1.9B | 2.3B | 2.6B | 2.7B | |
Inventory | 24.2M | 36.6M | (1.4B) | 83.6M | 75.2M | 79.0M | |
Other Current Assets | 16.9M | 12.4M | 1.4B | 31.2M | 50.1M | 47.6M | |
Other Stockholder Equity | 750.8M | 931.0M | 1.9B | 2.3B | 2.8B | 2.9B | |
Total Liab | 1.2B | 1.4B | 1.8B | 1.8B | 1.8B | 1.2B | |
Deferred Long Term Liab | 821K | 773K | 81K | 225K | 202.5K | 192.4K | |
Property Plant And Equipment Gross | 69.5M | 97.0M | 104.4M | 99.0M | 115.2M | 76.9M | |
Total Current Assets | 1.1B | 1.1B | 2.1B | 2.2B | 2.4B | 1.2B | |
Accumulated Other Comprehensive Income | 225K | (704K) | (2.9M) | (905K) | 4.5M | 4.8M | |
Intangible Assets | 34.8M | 26.3M | 20.6M | 11.4M | 4.0M | 3.8M | |
Common Stock | 57K | 61K | 67K | 70K | 73K | 56.0K | |
Property Plant Equipment | 69.5M | 97.0M | 104.4M | 57.8M | 66.5M | 65.0M | |
Retained Earnings Total Equity | (668.2M) | (935.4M) | (1.2B) | (1.5B) | (1.4B) | (1.5B) | |
Net Invested Capital | 993.9M | 932.7M | 1.8B | 1.9B | 2.2B | 1.3B | |
Non Current Liabilities Other | 60.0M | 59.1M | 57.7M | 120.8M | 41.7M | 72.9M |
MongoDB Investors Sentiment
The influence of MongoDB's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in MongoDB. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
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's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average MongoDB's news discussions. The higher the estimated score, the more favorable is the investor's outlook on MongoDB.
MongoDB Implied Volatility | 52.78 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards MongoDB in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, MongoDB's short interest history, or implied volatility extrapolated from MongoDB options trading.
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Try AI Portfolio ArchitectCheck 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 unemployment. 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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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 (2.48) | 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.