MongoDB Operating Cycle Over Time
| MDB Stock | USD 326.50 11.10 3.29% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out MongoDB Performance and MongoDB Correlation. Is Internet Services & Infrastructure space 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. Expected growth trajectory for MongoDB significantly influences the price investors are willing to assign. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive MongoDB assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Earnings Share (0.81) | Revenue Per Share | Quarterly Revenue Growth 0.187 | Return On Assets | Return On Equity |
Understanding MongoDB requires distinguishing between market price and book value, where the latter reflects MongoDB's accounting equity. The concept of intrinsic value - what MongoDB's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push MongoDB's price substantially above or below its fundamental value.
Understanding that MongoDB's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether MongoDB represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, MongoDB's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Cross Equities Operating Cycle Analysis
Compare MongoDB and related stocks such as CyberArk Software, Super Micro Computer, and Samsara Operating Cycle Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CYBR | 236 | 236 | 236 | 246 | 162 | 46.3252 | 56.1621 | 63.2018 | 51.5075 | 61.3693 | 73.19 | 82.1647 | 74.5267 | 90.5218 | 120 | 100 | 115 |
| SMCI | 106 | 156 | 139 | 146 | 160 | 127 | 168 | 165 | 131 | 165 | 184 | 189 | 151 | 189 | 124 | 112 | 113 |
| IOT | 229 | 229 | 229 | 229 | 229 | 229 | 229 | 229 | 229 | 229 | 128 | 167 | 150 | 95.8707 | 116 | 133 | 162 |
| SNDK | 160 | 160 | 160 | 160 | 160 | 160 | 160 | 160 | 160 | 160 | 160 | 204 | 204 | 204 | 204 | 179 | 141 |
| VRSN | 89.3085 | 11.5489 | 11.0859 | 5.1553 | 4.8594 | 4.3544 | 4.1707 | 3.5896 | 3.1484 | 5.1434 | 2.37 | 3.5613 | 2.0749 | 3.3246 | 1.828 | 2.1 | 2.0 |
| TER | 192 | 114 | 99.8236 | 122 | 115 | 124 | 138 | 122 | 169 | 188 | 177 | 203 | 288 | 318 | 268 | 193 | 134 |
| AFRM | 59.5091 | 59.5091 | 59.5091 | 59.5091 | 59.5091 | 59.5091 | 59.5091 | 59.5091 | 59.5091 | 42.2653 | 848 | 674 | 1 K | 901 | 799 | 719 | 496 |
| ZM | 59.3199 | 59.3199 | 59.3199 | 59.3199 | 59.3199 | 59.3199 | 59.3199 | 59.0976 | 70.2498 | 70.5986 | 40.5702 | 37.3624 | 46.3133 | 43.2204 | 38.7441 | 44.56 | 56.89 |
| CRDO | 230 | 230 | 230 | 230 | 230 | 230 | 230 | 230 | 230 | 230 | 240 | 371 | 332 | 282 | 349 | 314 | 241 |
| CHKP | 109 | 105 | 102 | 99.3982 | 89.4799 | 91.9898 | 100 | 92.9343 | 94.3508 | 90.7194 | 95.594 | 101 | 101 | 99.4163 | 104 | 93.34 | 75.86 |
MongoDB and related stocks such as CyberArk Software, Super Micro Computer, and Samsara Operating Cycle description
My Equities
My Current Equities and Potential Positions
| MongoDB | MDB |
Specialization | Information Technology, Software - Infrastructure |
| Business Address | 1633 Broadway, New |
| Exchange | NASDAQ Exchange |
USD 326.5
Check out MongoDB Performance and MongoDB Correlation. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
MongoDB technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.