Latest news with #MongoDB
Yahoo
2 days ago
- Business
- Yahoo
MongoDB (MDB) Is Considered a Good Investment by Brokers: Is That True?
Investors often turn to recommendations made by Wall Street analysts before making a Buy, Sell, or Hold decision about a stock. While media reports about rating changes by these brokerage-firm employed (or sell-side) analysts often affect a stock's price, do they really matter? Let's take a look at what these Wall Street heavyweights have to say about MongoDB (MDB) before we discuss the reliability of brokerage recommendations and how to use them to your advantage. MongoDB currently has an average brokerage recommendation (ABR) of 1.54, on a scale of 1 to 5 (Strong Buy to Strong Sell), calculated based on the actual recommendations (Buy, Hold, Sell, etc.) made by 35 brokerage firms. An ABR of 1.54 approximates between Strong Buy and Buy. Of the 35 recommendations that derive the current ABR, 24 are Strong Buy and three are Buy. Strong Buy and Buy respectively account for 68.6% and 8.6% of all recommendations. Check price target & stock forecast for MongoDB here>>> While the ABR calls for buying MongoDB, it may not be wise to make an investment decision solely based on this information. Several studies have shown limited to no success of brokerage recommendations in guiding investors to pick stocks with the best price increase potential. Are you wondering why? The vested interest of brokerage firms in a stock they cover often results in a strong positive bias of their analysts in rating it. Our research shows that for every "Strong Sell" recommendation, brokerage firms assign five "Strong Buy" recommendations. In other words, their interests aren't always aligned with retail investors, rarely indicating where the price of a stock could actually be heading. Therefore, the best use of this information could be validating your own research or an indicator that has proven to be highly successful in predicting a stock's price movement. Zacks Rank, our proprietary stock rating tool with an impressive externally audited track record, categorizes stocks into five groups, ranging from Zacks Rank #1 (Strong Buy) to Zacks Rank #5 (Strong Sell), and is an effective indicator of a stock's price performance in the near future. Therefore, using the ABR to validate the Zacks Rank could be an efficient way of making a profitable investment decision. Although both Zacks Rank and ABR are displayed in a range of 1--5, they are different measures altogether. The ABR is calculated solely based on brokerage recommendations and is typically displayed with decimals (example: 1.28). In contrast, the Zacks Rank is a quantitative model allowing investors to harness the power of earnings estimate revisions. It is displayed in whole numbers -- 1 to 5. It has been and continues to be the case that analysts employed by brokerage firms are overly optimistic with their recommendations. Because of their employers' vested interests, these analysts issue more favorable ratings than their research would support, misguiding investors far more often than helping them. In contrast, the Zacks Rank is driven by earnings estimate revisions. And near-term stock price movements are strongly correlated with trends in earnings estimate revisions, according to empirical research. In addition, the different Zacks Rank grades are applied proportionately to all stocks for which brokerage analysts provide current-year earnings estimates. In other words, this tool always maintains a balance among its five ranks. Another key difference between the ABR and Zacks Rank is freshness. The ABR is not necessarily up-to-date when you look at it. But, since brokerage analysts keep revising their earnings estimates to account for a company's changing business trends, and their actions get reflected in the Zacks Rank quickly enough, it is always timely in indicating future price movements. In terms of earnings estimate revisions for MongoDB, the Zacks Consensus Estimate for the current year has increased 15.8% over the past month to $3.03. Analysts' growing optimism over the company's earnings prospects, as indicated by strong agreement among them in revising EPS estimates higher, could be a legitimate reason for the stock to soar in the near term. The size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, has resulted in a Zacks Rank #2 (Buy) for MongoDB. You can see the complete list of today's Zacks Rank #1 (Strong Buy) stocks here >>>> Therefore, the Buy-equivalent ABR for MongoDB may serve as a useful guide for investors. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report MongoDB, Inc. (MDB) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Yahoo
2 days ago
- Business
- Yahoo
Wall Street Analysts See a 34.26% Upside in MongoDB (MDB): Can the Stock Really Move This High?
Shares of MongoDB (MDB) have gained 10.5% over the past four weeks to close the last trading session at $209.2, but there could still be a solid upside left in the stock if short-term price targets of Wall Street analysts are any indication. Going by the price targets, the mean estimate of $280.88 indicates a potential upside of 34.3%. The mean estimate comprises 33 short-term price targets with a standard deviation of $54.3. While the lowest estimate of $170.00 indicates a 18.7% decline from the current price level, the most optimistic analyst expects the stock to surge 105.5% to reach $430.00. It's very important to note the standard deviation here, as it helps understand the variability of the estimates. The smaller the standard deviation, the greater the agreement among analysts. While the consensus price target is highly sought after by investors, the ability and unbiasedness of analysts in setting price targets have long been questionable. And investors making investment decisions solely based on this tool would arguably do themselves a disservice. But, for MDB, an impressive average price target is not the only indicator of a potential upside. Strong agreement among analysts about the company's ability to report better earnings than they predicted earlier strengthens this view. While a positive trend in earnings estimate revisions doesn't gauge how much a stock could gain, it has proven to be powerful in predicting an upside. According to researchers at several universities across the globe, a price target is one of many pieces of information about a stock that misleads investors far more often than it guides. In fact, empirical research shows that price targets set by several analysts, irrespective of the extent of agreement, rarely indicate where the price of a stock could actually be heading. While Wall Street analysts have deep knowledge of a company's fundamentals and the sensitivity of its business to economic and industry issues, many of them tend to set overly optimistic price targets. Are you wondering why? They usually do that to drum up interest in shares of companies that their firms either have existing business relationships with or are looking to be associated with. In other words, business incentives of firms covering a stock often result in inflated price targets set by analysts. However, a tight clustering of price targets, which is represented by a low standard deviation, indicates that analysts have a high degree of agreement about the direction and magnitude of a stock's price movement. While that doesn't necessarily mean the stock will hit the average price target, it could be a good starting point for further research aimed at identifying the potential fundamental driving forces. That said, while investors should not entirely ignore price targets, making an investment decision solely based on them could lead to disappointing ROI. So, price targets should always be treated with a high degree of skepticism. There has been increasing optimism among analysts lately about the company's earnings prospects, as indicated by strong agreement among them in revising EPS estimates higher. And that could be a legitimate reason to expect an upside in the stock. After all, empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock price movements. For the current year, 11 estimates have moved higher over the last 30 days compared to no negative revision. As a result, the Zacks Consensus Estimate has increased 15.8%. Moreover, MDB currently has a Zacks Rank #2 (Buy), which means it is in the top 20% of more than 4,000 stocks that we rank based on four factors related to earnings estimates. Given an impressive externally-audited track record, this is a more conclusive indication of the stock's potential upside in the near term. You can see the complete list of today's Zacks Rank #1 (Strong Buy) stocks here >>>> . Therefore, while the consensus price target may not be a reliable indicator of how much MDB could gain, the direction of price movement it implies does appear to be a good guide. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report MongoDB, Inc. (MDB) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Yahoo
4 days ago
- Business
- Yahoo
Macquarie Raises MongoDB (MDB) Price Target, Maintains Neutral Rating
MongoDB, Inc. (NASDAQ:MDB) is one of 10 AI stocks that will skyrocket. Macquarie has raised its price target on MongoDB, Inc. (NASDAQ:MDB) to $230 from $215, while maintaining a Neutral rating on the stock on June 6. The move follows what the firm described as a 'solid' fiscal first quarter, offering reassurance after previously disappointing guidance for fiscal year 2026 revenue and margins. In a research note to investors, Macquarie analysts said MongoDB's Q1 performance helped ease concerns that emerged last quarter, when the company issued cautious full-year projections that fell short of expectations. The improved sentiment follows stronger-than-expected revenue and signs of operational stability during the quarter, though Macquarie emphasized that challenges remain. A software engineer hosting a remote video training session on a multi-cloud database-as-a-service solution. Despite the Q1 rebound, the firm views the stock's risk-reward profile as balanced, citing a mix of near-term execution risks and longer-term growth opportunities. The analysts acknowledged that while MongoDB remains a key player in modern data infrastructure, questions persist about the pace of enterprise adoption and potential competition in cloud-native database offerings. Macquarie also noted that while fundamentals have stabilized, it does not yet see a compelling reason to shift to a bullish stance given ongoing macro and margin pressures. While we acknowledge the potential of MDB as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than MDB and that has 100x upside potential, check out our report about this . READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. Sign in to access your portfolio
Business Wire
6 days ago
- Business
- Business Wire
ACI Worldwide Expands Technology Partnership Ecosystem to Power ACI Connetic
OMAHA, Neb.--(BUSINESS WIRE)-- ACI Worldwide (NASDAQ:ACIW), an original innovator in global payments technology, has expanded its global technology partnership ecosystem to help financial institutions across the globe increase operational resiliency and address evolving regulatory requirements to safeguard the stability of the financial system. Building on strategic partnerships with Microsoft, Red Hat and IBM, ACI is collaborating with MongoDB, a document-oriented NoSQL database, and open source technology NATS from Synadia Communications for the reference architecture of ACI Connetic, ACI's unified, cloud-native payments platform. These partnerships help extend ACI Connetic far beyond a traditional payments hub, delivering robust, highly functional payment engines to support financial institutions in meeting growingly stringent non-functional requirements and increase resilience against potential disruptions. Banks have come under increasing pressure to future-proof their payments infrastructure, as the industry shifts toward real-time, API-driven, globally distributed architectures. With traditional architectures creaking under the weight of new demands and digital-native players setting new benchmarks for performance, availability and innovation, regulators across the globe have called on banks to shore up defences and increase operational resilience. New laws—including Europe's Digital Operational Resilience Act (DORA), the UK's operational resiliency scheme, and Australia's CPS 230 Operational Risk Management standard—all require banks to follow stringent guidelines for safeguarding against information and communication technology-related incidents. These regulations aim to improve banks' operational resilience, with the ultimate goal of protecting economies and consumers from the impact of operational disruptions. 'Maintaining operational resilience in a fast-moving commercial environment is a critical challenge for financial institutions,' commented Scotty Perkins, head of product for banking and intermediaries at ACI Worldwide. 'ACI Connetic has been designed not only to help banks to future-proof their payments infrastructure but also to support the increasing non-functional requirements of modern payments. Our cutting-edge technology supports the resilience, scalability and security of banks' payments systems, while streamlining the transition to cloud-based infrastructures to improve operational efficiency.' ACI Connetic brings together card and account-to-account processing on a single, unified platform, delivering a unique combination of proven payments capabilities, integrated fraud prevention and cutting-edge cloud architecture. Designed to meet the demands of modern banking, it gives financial institutions the flexibility, scalability and resilience they need to compete in an increasingly complex payments landscape. About ACI Worldwide ACI Worldwide, an original innovator in global payments technology, delivers transformative software solutions that power intelligent payments orchestration in real time so banks, billers, and merchants can drive growth, while continuously modernizing their payment infrastructures, simply and securely. With nearly 50 years of trusted payments expertise, we combine our global footprint with a local presence to offer enhanced payment experiences to stay ahead of constantly changing payment challenges and opportunities. © Copyright ACI Worldwide, Inc. 2025 ACI, ACI Worldwide, ACI Payments, Inc., ACI Pay, Speedpay, and all ACI product/solution names are trademarks or registered trademarks of ACI Worldwide, Inc., or one of its subsidiaries, in the United States, other countries, or both. Other parties' trademarks referenced are the property of their respective owners.
Yahoo
6 days ago
- Business
- Yahoo
Cohesity Enhances MongoDB Data Protection, Delivers Faster Recovery, Enhanced Cyber Resilience
MongoDB Inc. (NASDAQ:MDB) is one of the best technology stocks according to Wall Street analysts. On June 18, Cohesity announced a significant enhancement to its data protection capabilities for MongoDB. This integration is now available for Cohesity DataProtect and aims to provide advanced performance and control for backing up and recovering MongoDB databases, particularly for large, mission-critical workloads. The announcement positions Cohesity as one of the first data protection software providers to offer MongoDB workload protection through the official MongoDB Third Party Backup Ops Manager API. The development is crucial for global banking, financial services, and Fortune 500 enterprises that have extremely low tolerance for risk and strict resilience requirements. A software engineer hosting a remote video training session on a multi-cloud database-as-a-service solution. The deepened integration offers improved cyber resilience, such as greater speed, with parallel data streams. This leads to MongoDB database restorations up to 4 times faster than traditional methods. The Cohesity-MongoDB integration also delivers cyber-resilient ransomware protection through immutable backups, role-based access control/RBAC, and end-to-end encryption. MongoDB Inc. (NASDAQ:MDB) provides a general-purpose database platform worldwide. Cohesity is the leader in AI-powered data security. While we acknowledge the potential of MDB as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey.
