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With upgraded authorization, soon federal agencies with security requirements at every level will be able to use MongoDB to deploy, run, and scale modern applications in the cloud NEW YORK , June 30, 2025 /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today announced its commitment to pursuing Federal Risk and Authorization Management Program (FedRAMP) High and Impact Level 5 (IL5) authorizations for MongoDB Atlas for Government workloads, which will expand its eligibility to manage unclassified, yet highly sensitive, U.S. public sector data. With FedRAMP High authorization, even the most critical government agencies looking to adopt cloud and AI technologies—and to modernize aging, inefficient legacy databases—can rely on MongoDB Atlas for Government for secure, fully managed workloads.
The consensus price target hints at a 34.3% upside potential for MongoDB (MDB). While empirical research shows that this sought-after metric is hardly effective, an upward trend in earnings estimate revisions could mean that the stock will witness an upside in the near term.
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?
SANTA CLARA, Calif.--(BUSINESS WIRE)-- #CyberResilience--Cohesity, the leader in AI-powered data security, today announced a deeper integration with MongoDB, the leading database for modern applications. The new integration provides advanced performance and control capabilities for backup and recovery of MongoDB databases. Cohesity is among the first data protection software providers to deliver MongoDB workload protection through the MongoDB Third Party Backup Ops Manager API. Designed with large, critical datas.
Artificial intelligence (AI) is quickly weaving its way into daily life. According to Goldman Sachs, 9.2% of U.S. companies now use AI to produce goods and services, which is twice the percentage that used the technology at the same time last year.
Buyback capacity is moving up in a very big way for three stocks. Two tech stocks hoping to leverage and profit from AI are indicating that management has significant confidence in generating future returns.
Investors looking for ways to find stocks that are set to beat quarterly earnings estimates should check out the Zacks Earnings ESP.
The mean of analysts' price targets for MongoDB (MDB) points to a 31.9% upside in the stock. While this highly sought-after metric has not proven reasonably effective, strong agreement among analysts in raising earnings estimates does indicate an upside in the stock.
Many artificial intelligence (AI) stocks skyrocketed in value in recent years as more companies realized they could accelerate and automate their operations with large language models (LLMs) and generative AI applications. The obvious winners include Nvidia, which produces the data center GPUs for processing those AI tasks, and Microsoft, which acquired a big stake in ChatGPT's creator OpenAI and integrated its AI tools into its own cloud services.
I previously rated MongoDB a sell due to valuation, but I now believe I was too harsh. Management has raised fiscal 2026 non-GAAP operating profit guidance, but free cash flow conversion remains a notable weakness. I estimate free cash flow will reach $200 million this year, with potential upside if cost efficiencies materialize.