MongoDB, Inc. (MDB) currently reads Oversold on the MarketMoodz overbought/oversold meter, as of October 3, 2026. The Technology name (Software - Infrastructure) last closed at $357.96. The rating moved from Strong Oversold to Oversold on October 2, 2026.

• Public ratingOversold (as of October 3, 2026)
• Last close$357.96
• Last changeMoved from Strong Oversold to Oversold on October 2, 2026
• SectorTechnology
• IndustrySoftware - Infrastructure

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AI analysis

MongoDB, Inc. combines a strong market position in document databases with a growing Atlas cloud subscription business that drives recurring revenue and improving margins. Product innovation and alignment with developer-driven application modernization and enterprise AI offering create multi-year growth opportunities, while scale benefits should progressively lift profitability and cash flow. Near-term performance is tied to macro risk sentiment, execution on cloud migration and competitive dynamics with hyperscalers. Absent major macro or execution setbacks, the company is positioned to capture continued cloud-driven database spend, but elevated valuation and regulatory/competitive pressures warrant measured upside expectations.

Key factors

• Market-leading document database with wide adoption of Atlas cloud platform, driving recurring revenue and high net retention among enterprise customers
• Strong product momentum (Atlas, managed services, search/vector capabilities and data platform integrations) that aligns with enterprise AI and application modernization needs
• Favorable long-term secular tailwinds from cloud migration and increasing developer adoption for flexible, schema-less data models
• Improving operating leverage as subscription mix and scale in Atlas increase gross margins and free cash flow generation potential
• Macro and sector dynamics (eased long‑bond pressure, ongoing AI demand) that can support valuation for growth software names in the near term

Risks

• Heavy competition from hyperscalers and managed DB offerings (AWS DocumentDB, Google/Cloud Spanner alternatives, Azure) that can pressure pricing and customer wins
• High valuation and sensitivity to shifts in risk sentiment or rising yields, creating downside on missed execution or slower growth
• Enterprise AI procurement caution and increased regulatory/governance scrutiny could slow large-scale deployments that drive Atlas expansion
• Execution risks tied to scaling international operations, product delivery, and maintaining high net retention as customer mix evolves
• Macro slowdown or reduced IT spending that delays migrations or upsells to Atlas managed services

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