MongoDB, Inc.
- Open
- 333.07
- Day high
- 334.00
- Day low
- 318.12
- Prev close
- 333.04
- Volume
- 1.1M
- Mkt cap
- $26.4B
- P/E (TTM)
- —
- EPS (TTM)
- —
- P/B
- 9.0
- P/S
- 10.1
- Yield
- —
- Per share
- —
- ▼Insiders net selling -$52.0M over the last 3 months (0 open-market buys, 78 sales)
- 🏛Institutions accumulating (13F)
MongoDB, Inc. (MDB) is a Technology company listed on NASDAQ. The stock is up 59% over the past year. Over the trailing 3 months, insiders filed 0 open-market buys and 78 sales (SEC Form 4). Drillr has 1 published research article covering MDB.
MongoDB, Inc. (MDB) financials & analyst ratings
Fundamentals (TTM)
Analyst consensus · 23 analysts
Source: exchange market data + company filings. Figures are trailing-twelve-month or as most recently reported. For informational purposes only — not investment advice.
MDB earnings date, history & EPS estimates
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| May 28, 2026 | $1.19 | $1.32 | +10.9% | $688M | +3.5% |
| Dec 1, 2025 | $0.81 | $1.32 | +64.0% | $628M | +5.8% |
| Aug 26, 2025 | $0.67 | $1.00 | +49.3% | $591M | +6.7% |
| Jun 4, 2025 | $0.67 | $1.00 | +49.7% | $549M | +4.0% |
| Mar 5, 2025 | $0.66 | $1.28 | +93.6% | $548M | +5.3% |
| Dec 9, 2024 | $0.68 | $1.16 | +70.6% | $529M | +6.5% |
| Aug 29, 2024 | $0.49 | $0.70 | +44.2% | $478M | +2.8% |
| May 30, 2024 | $0.38 | $0.51 | +33.2% | $451M | +2.1% |
| Mar 7, 2024 | $0.46 | $0.86 | +88.3% | $458M | +4.8% |
| Dec 5, 2023 | $0.49 | $0.96 | +95.9% | $433M | +7.3% |
| Aug 31, 2023 | $0.45 | $0.93 | +106.7% | $424M | +8.6% |
| Jun 1, 2023 | $0.19 | $0.56 | +194.7% | $368M | +6.1% |
MDB insider trading activity (SEC Form 4)
| Date | Insider | Type | Shares | Price |
|---|---|---|---|---|
| Jul 6, 2026 | BERRY MICHAEL Jofficer: Chief Financial Officer | Tax | 7,082 | $335.90 |
| Jul 6, 2026 | Desai Chirantan Jitendradirector, officer: President & CEO | Tax | 3,913 | $335.90 |
| Jul 6, 2026 | Ittycheria Devdirector | Tax | 3,035 | $335.90 |
| Jul 2, 2026 | BOTHA ROELOFdirector | Grant | 767 | — |
| Jul 2, 2026 | MERRIMAN DWIGHT Adirector | Grant | 767 | — |
| Jul 2, 2026 | DSOUZA FRANCISCOdirector | Grant | 767 | — |
| Jul 2, 2026 | Cochran Hope Fdirector | Grant | 767 | — |
| Jul 2, 2026 | MERRIMAN DWIGHT Adirector | Sell | 1,130 | $334.25 |
| Jul 2, 2026 | Agrawal Archanadirector | Grant | 767 | — |
| Jul 2, 2026 | Cochran Hope Fdirector | Grant | 199 | — |
| Jul 2, 2026 | Killalea Peter Thomasdirector | Grant | 767 | — |
| Jul 2, 2026 | Hazard Charles M Jrdirector | Grant | 767 | — |
| Jul 2, 2026 | Hazard Charles M Jrdirector | Grant | 198 | — |
| Jul 2, 2026 | BOTHA ROELOFdirector | Grant | 150 | — |
| Jul 2, 2026 | Lewnes Anndirector | Grant | 159 | — |
Source: MDB SEC Form 4 filings, latest Jul 6, 2026. For informational purposes only — not investment advice.
See the full MDB insider & 13F page →MDB research & analysis
MongoDB, Inc. company profile
Overview
MongoDB, Inc. (NASDAQ:MDB) is a leading database technology company founded in 2007 and originally known as 10gen, Inc. before changing its name in 2013. The company went public in October 2017 and is headquartered in New York. MongoDB has established itself as a pioneer in the document database market, offering an alternative to traditional relational databases through its flexible, scalable NoSQL platform. The company serves over 54,500 customers worldwide, ranging from startups to Fortune 500 enterprises, and has become a critical component in modern application development and data infrastructure modernization efforts.
Business
MongoDB operates in the database software infrastructure market, providing what is known as a document database or NoSQL database platform. Unlike traditional relational databases that store data in rigid tables with predefined schemas, MongoDB's document database stores data in flexible, JSON-like documents that can contain nested structures and varying fields. This approach allows developers to work with data in a more natural way that mirrors how they think about and structure information in their applications. The company's core offerings include three main products. MongoDB Atlas is their cloud-hosted database-as-a-service solution that runs across multiple cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Atlas represents approximately 71% of total revenue and has been the primary growth driver, generating $389.4 million in the most recent quarter with 24% year-over-year growth. MongoDB Enterprise Advanced is their commercial on-premises database server designed for enterprise customers who need to run databases in their own data centers, hybrid environments, or private clouds. The third offering is Community Server, a free version that includes core functionality to help developers get started with MongoDB. Beyond the core database, MongoDB has expanded into a broader developer data platform with additional services including Atlas Search for full-text search capabilities, Atlas Vector Search for AI applications, Stream Processing for real-time data processing, and various analytics and visualization tools. The company also provides professional services including consulting, training, and support to help customers implement and optimize their MongoDB deployments.
Revenue model
MongoDB generates revenue through multiple business models centered around database software licensing and cloud services. The primary revenue stream comes from MongoDB Atlas, their cloud database service, which operates on a consumption-based pricing model where customers pay based on their actual usage of compute, storage, and data transfer resources. This creates a recurring revenue stream that scales with customer growth and application usage. The second major revenue source is Enterprise Advanced licensing, where customers pay subscription fees for on-premises or hybrid deployments. These are typically multi-year contracts with upfront commitments, though the company has been moving toward more flexible terms to reduce sales friction. Professional services, including consulting and training, provide additional revenue but represent a smaller portion of the total. Several factors influence MongoDB's margins and profitability. Positive margin drivers include the high-margin nature of software licensing, economies of scale in their Atlas cloud infrastructure, and the network effects of their large developer community which reduces customer acquisition costs. The company benefits from vendor lock-in effects as migrating databases is complex and costly for customers. However, margin pressures come from significant investments in research and development, particularly around AI capabilities and new product features. Cloud infrastructure costs for Atlas can fluctuate based on underlying cloud provider pricing, and intense competition from both traditional database vendors and cloud-native solutions puts pressure on pricing. The company's current focus on enterprise customers and larger deals helps improve unit economics, but requires higher sales and marketing investments to serve these complex customers.
Competitive moat
MongoDB's competitive moat is moderately strong but faces increasing challenges from multiple directions. The company's primary moat comes from developer mindshare and ecosystem lock-in. With over 54,500 customers and a large community of developers familiar with its document-based approach, MongoDB benefits from significant switching costs once applications are built on their platform. Database migrations are notoriously complex, time-consuming, and risky, creating natural customer stickiness. The company also maintains a technological differentiation through its flexible document model, which is particularly well-suited for modern applications that handle varied data types and structures. This is especially relevant for AI applications where MongoDB's ability to store vectors, metadata, and application data in a unified platform provides advantages over traditional relational databases. However, MongoDB's moat faces several threats. Major cloud providers like Amazon, Microsoft, and Google offer competing database services with the advantage of deep integration into their broader cloud ecosystems and aggressive pricing. PostgreSQL, an open-source relational database, has added JSON capabilities that overlap with MongoDB's document model while maintaining the familiarity of SQL. The rise of specialized vector databases for AI applications could commoditize some of MongoDB's newer features. Additionally, the database market is experiencing rapid innovation, with new entrants offering serverless, edge-computing, and AI-native database solutions. While MongoDB is investing heavily in AI capabilities, including the recent acquisition of Voyage AI, the company must continuously innovate to maintain its competitive position. The strength of their moat ultimately depends on their ability to stay ahead of these technological shifts while maintaining their developer-friendly approach and expanding their platform capabilities.
Risks & safety
MongoDB presents a moderate margin of safety profile with mixed financial health indicators. **Liquidity and Solvency:** - Strong current ratio of 5.2x indicates excellent short-term liquidity - Cash and short-term investments of $490 million provide substantial runway - Very low debt-to-equity ratio of 0.013 shows minimal financial leverage - Positive free cash flow of $121 million for full year FY2025 demonstrates improving cash generation **Profitability and Valuation Concerns:** - Company remains unprofitable with net loss of $129 million in FY2025 - Negative EBITDA margins indicate operational challenges - High EV/EBITDA ratio reflects expensive valuation relative to current earnings - Price-to-book ratio of 7.3x suggests premium valuation **Other Considerations:** - Revenue growth of 19% shows continued business expansion - Strong balance sheet with $2.8 billion in net current assets provides financial cushion - High customer retention and expanding customer base indicate business model resilience - Significant R&D investments may pressure near-term profitability but support long-term competitiveness
Recent development
Over the past few years, MongoDB has undergone significant strategic evolution focused on three key areas: AI integration, enterprise market expansion, and platform consolidation. The company has made substantial investments in artificial intelligence capabilities, culminating in the acquisition of Voyage AI to enhance embedding and reranking models that reduce AI application hallucinations. They launched the MongoDB AI Applications Program (MAAP) and introduced Atlas Vector Search to position themselves as a comprehensive database solution for AI workloads. The enterprise strategy has involved major go-to-market changes, including the promotion of Cedric Pech to President of Worldwide Field Operations and increased investment in strategic account programs. The company has been reallocating resources from mid-market to upmarket customers, resulting in 320 customers with over $1 million in annual recurring revenue, representing 24% year-over-year growth. They've also been focusing on legacy application modernization, using AI to reduce migration complexity and costs. Product development has centered on platform expansion and performance improvements. MongoDB 8.0 was released with 20-60% performance improvements, while new services like Atlas Stream Processing and enhanced search capabilities have been introduced. The company consolidated their serverless offerings into Atlas Flex and deprecated certain services like Atlas Device Sync to focus resources on higher-impact areas. A significant operational change has been the adjustment of sales incentives to prioritize workload quality over quantity, reflecting lessons learned from previous consumption growth challenges.
MDB company profile · for informational purposes only — not investment advice.
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