MongoDB (MDB)
Market Price (2/2/2026): $373.4 | Market Cap: $30.4 BilSector: Information Technology | Industry: Systems Software
MongoDB (MDB)
Market Price (2/2/2026): $373.4Market Cap: $30.4 BilSector: Information TechnologyIndustry: Systems Software
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 16%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 15% | Weak multi-year price returns2Y Excs Rtn is -48% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -156 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -6.7% |
| Megatrend and thematic driversMegatrends include Cloud Computing. Themes include Software as a Service (SaaS), Platform as a Service (PaaS), and Hybrid Cloud Solutions. | Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 80x | |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 23% | ||
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -4.4% | ||
| Key risksMDB key risks include [1] decelerating revenue growth for its flagship Atlas service and a challenging path to GAAP profitability, Show more. |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 16%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 15% |
| Megatrend and thematic driversMegatrends include Cloud Computing. Themes include Software as a Service (SaaS), Platform as a Service (PaaS), and Hybrid Cloud Solutions. |
| Weak multi-year price returns2Y Excs Rtn is -48% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -156 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -6.7% |
| Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 80x |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 23% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -4.4% |
| Key risksMDB key risks include [1] decelerating revenue growth for its flagship Atlas service and a challenging path to GAAP profitability, Show more. |
Stock Movement Drivers
Fundamental Drivers
The 3.2% change in MDB stock from 10/31/2025 to 2/1/2026 was primarily driven by a 4.5% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 10312025 | 2012026 | Change |
|---|---|---|---|
| Stock Price ($) | 359.82 | 371.33 | 3.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2,218 | 2,317 | 4.5% |
| P/S Multiple | 13.2 | 13.0 | -0.8% |
| Shares Outstanding (Mil) | 81 | 81 | -0.4% |
| Cumulative Contribution | 3.2% |
Market Drivers
10/31/2025 to 2/1/2026| Return | Correlation | |
|---|---|---|
| MDB | 3.2% | |
| Market (SPY) | 1.5% | 34.3% |
| Sector (XLK) | -4.3% | 45.8% |
Fundamental Drivers
The 56.1% change in MDB stock from 7/31/2025 to 2/1/2026 was primarily driven by a 42.4% change in the company's P/S Multiple.| (LTM values as of) | 7312025 | 2012026 | Change |
|---|---|---|---|
| Stock Price ($) | 237.89 | 371.33 | 56.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2,105 | 2,317 | 10.1% |
| P/S Multiple | 9.2 | 13.0 | 42.4% |
| Shares Outstanding (Mil) | 81 | 81 | -0.4% |
| Cumulative Contribution | 56.1% |
Market Drivers
7/31/2025 to 2/1/2026| Return | Correlation | |
|---|---|---|
| MDB | 56.1% | |
| Market (SPY) | 9.8% | 28.2% |
| Sector (XLK) | 9.7% | 34.7% |
Fundamental Drivers
The 35.9% change in MDB stock from 1/31/2025 to 2/1/2026 was primarily driven by a 23.5% change in the company's P/S Multiple.| (LTM values as of) | 1312025 | 2012026 | Change |
|---|---|---|---|
| Stock Price ($) | 273.32 | 371.33 | 35.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1,916 | 2,317 | 20.9% |
| P/S Multiple | 10.6 | 13.0 | 23.5% |
| Shares Outstanding (Mil) | 74 | 81 | -9.1% |
| Cumulative Contribution | 35.9% |
Market Drivers
1/31/2025 to 2/1/2026| Return | Correlation | |
|---|---|---|
| MDB | 35.9% | |
| Market (SPY) | 16.0% | 44.6% |
| Sector (XLK) | 25.3% | 49.4% |
Fundamental Drivers
The 73.3% change in MDB stock from 1/31/2023 to 2/1/2026 was primarily driven by a 94.8% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 1312023 | 2012026 | Change |
|---|---|---|---|
| Stock Price ($) | 214.21 | 371.33 | 73.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1,189 | 2,317 | 94.8% |
| P/S Multiple | 12.4 | 13.0 | 5.1% |
| Shares Outstanding (Mil) | 69 | 81 | -15.3% |
| Cumulative Contribution | 73.3% |
Market Drivers
1/31/2023 to 2/1/2026| Return | Correlation | |
|---|---|---|
| MDB | 73.3% | |
| Market (SPY) | 76.6% | 44.0% |
| Sector (XLK) | 116.0% | 47.2% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| MDB Return | 47% | -63% | 108% | -43% | 80% | -11% | 4% |
| Peers Return | 35% | -36% | 53% | 26% | 29% | -4% | 109% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 2% | 86% |
Monthly Win Rates [3] | |||||||
| MDB Win Rate | 67% | 42% | 58% | 58% | 58% | 0% | |
| Peers Win Rate | 63% | 28% | 65% | 55% | 52% | 40% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 100% | |
Max Drawdowns [4] | |||||||
| MDB Max Drawdown | -32% | -74% | -14% | -47% | -37% | -11% | |
| Peers Max Drawdown | -11% | -45% | -5% | -12% | -21% | -7% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -1% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: MSFT, AMZN, GOOGL, ORCL, SNOW. See MDB Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 1/30/2026 (YTD)
How Low Can It Go
| Event | MDB | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -76.5% | -25.4% |
| % Gain to Breakeven | 325.9% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -45.0% | -33.9% |
| % Gain to Breakeven | 82.0% | 51.3% |
| Time to Breakeven | 56 days | 148 days |
| 2018 Correction | ||
| % Loss | -34.0% | -19.8% |
| % Gain to Breakeven | 51.6% | 24.7% |
| Time to Breakeven | 119 days | 120 days |
Compare to MSFT, AMZN, GOOGL, ORCL, SNOW
In The Past
MongoDB's stock fell -76.5% during the 2022 Inflation Shock from a high on 11/16/2021. A -76.5% loss requires a 325.9% gain to breakeven.
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About MongoDB (MDB)
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The Oracle for the cloud and modern applications.
Red Hat for enterprise databases.
Stripe for backend data infrastructure (emphasizing developer-friendliness and essential service).
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- MongoDB Atlas: A fully managed cloud database service (Database as a Service, or DBaaS) that allows users to deploy, operate, and scale MongoDB databases across major cloud providers.
- MongoDB Database: This is MongoDB's core document database software, available in community and enterprise editions, which provides a flexible and scalable data platform for modern applications.
- MongoDB App Services: These are a suite of serverless services (Backend as a Service, or BaaS) within MongoDB Atlas that accelerate application development with features like functions, triggers, GraphQL APIs, and device sync.
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MongoDB (MDB) Major Customers
MongoDB (MDB) primarily sells its products and services to **other companies**. Its business model is fundamentally B2B (business-to-business), providing database software and cloud services that businesses use to build, run, and scale their applications. MongoDB serves a highly diversified customer base across numerous industries, including financial services, retail, gaming, telecommunications, media, healthcare, and government. No single customer typically accounts for 10% or more of MongoDB's revenue, indicating a broad and distributed customer portfolio rather than reliance on a few "major" customers in the traditional sense. However, many prominent organizations leverage MongoDB's technology. Examples of companies that have publicly utilized MongoDB's offerings include:- Adobe (NASDAQ: ADBE)
- Cisco (NASDAQ: CSCO)
- Expedia Group (NASDAQ: EXPE)
- GE Healthcare (NYSE: GEHC)
- Google Cloud (Part of Alphabet, NASDAQ: GOOGL) - as a partner and user
- Intuit (NASDAQ: INTU)
- HSBC (NYSE: HSBC)
- Verizon Communications (NASDAQ: VZ)
- Toyota Motor Corporation (NYSE: TM)
- T-Mobile US (NASDAQ: TMUS)
- ADP (NASDAQ: ADP)
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- Amazon Web Services (AWS) - Amazon.com, Inc. (AMZN)
- Microsoft Azure - Microsoft Corporation (MSFT)
- Google Cloud Platform (GCP) - Alphabet Inc. (GOOGL)
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Chirantan "CJ" Desai, President and Chief Executive Officer
Chirantan "CJ" Desai assumed the role of President and Chief Executive Officer of MongoDB, effective November 10, 2025. He brings extensive experience in cloud infrastructure, AI, enterprise software, and product innovation. Prior to joining MongoDB, Desai served as President of Product and Engineering at Cloudflare. He has also held leadership positions at ServiceNow and Oracle.
Mike Berry, Chief Financial Officer
Mike Berry was appointed Chief Financial Officer of MongoDB, effective May 27, 2025. He has over three decades of experience in the software and cloud industries. Before MongoDB, Berry served as CFO at NetApp for five years. He has a distinguished career as a seven-time CFO for various technology companies, including McAfee, FireEye, Informatica, IO, Solarwinds, and i2 Technologies, demonstrating a proven track record of driving profitable growth and scaling businesses.
Harsha Jalihal, Chief People Officer
Harsha Jalihal is the Chief People Officer of MongoDB, joining the company in August 2020. She oversees global human resources operations and workforce strategy. Previously, she was the Vice President of HR at Unilever, where she led HR strategy and operations for the U.S. business and co-created Unilever's future of work strategy. Jalihal also contributed to thought leadership on the future of work at the World Economic Forum, co-authoring "HR 4.0". Earlier in her career, she spent 10 years at Cognizant, helping to build their talent acquisition, talent management, reward management, and employee relations practices during a hyper-growth phase.
Paul Capombassis, Chief Revenue Officer
Paul Capombassis serves as the Chief Revenue Officer of MongoDB. He joined the company in 2017 to lead its North America business, where he was instrumental in achieving over 13x revenue growth in the region. His responsibilities have expanded to include EMEA, Sales Development, Inside Sales, and Enablement. Prior to MongoDB, Capombassis held leadership positions at notable companies such as Splunk, BMC, and AppDynamics.
Eliot Horowitz, Co-founder & Technical Advisor
Eliot Horowitz is a co-founder of MongoDB Inc. and served as its Chief Technology Officer, where he wrote the core code base for MongoDB starting in 2007. He stepped down as CTO in March 2020, effective July 2020, and continues to serve as a technical advisor to the company. Horowitz previously co-founded ShopWiki, an e-commerce search engine, and oversaw its private sale in 2010. He was also a software developer in the R&D group at DoubleClick. In 2020, he founded Viam, a robotics software startup, where he is currently CEO. BusinessWeek recognized him as one of its Top 25 Entrepreneurs Under Age 25 in 2006.
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Here are the key business risks for MongoDB (MDB):- Slowing Growth and Path to GAAP Profitability: MongoDB faces the risk of decelerating revenue growth, particularly for its flagship Atlas cloud service, and an anticipated decline in its legacy non-Atlas, on-premise business. The company has consistently reported GAAP net losses, with its financial health heavily reliant on the continued adoption and usage of Atlas. Weak financial guidance for future fiscal years, stemming from slowed growth and increased investments in research and development and marketing, has raised investor concerns and led to a decline in stock performance.
- Intense Competition: MongoDB operates in a highly competitive database market. It faces significant competition from well-established relational database vendors, major cloud providers such as Amazon Web Services (with DynamoDB), Google Cloud, and Microsoft Azure, and other specialized NoSQL database solutions. These competitors often possess substantial financial and technological resources, offer competitive pricing models, and continuously innovate, which can impact MongoDB's market share, pricing power, and ability to attract and retain customers.
- Cybersecurity Risks and Data Privacy: As a provider of a widely used database management system, MongoDB is a target for cyberattacks and data breaches, which can be particularly devastating due to the large amounts of critical business and personally identifiable information often stored in its databases. The company experienced a significant security incident in December 2023, where unauthorized access to corporate systems exposed customer account metadata and contact information through a phishing attack. Ongoing risks include the public exposure of MongoDB instances without adequate protection, default configurations lacking authentication, insufficient encryption, and vulnerabilities from outdated software versions. Furthermore, non-compliance with evolving data privacy regulations in various jurisdictions could lead to regulatory investigations, fines, litigation, reputational damage, and limited market adoption.
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Competition from hyperscale cloud providers offering their own MongoDB-compatible database services.
Examples include AWS DocumentDB and Azure Cosmos DB with its MongoDB API. These services allow cloud customers to leverage a database with MongoDB compatibility directly from their cloud provider, often with deep integration into the cloud's native ecosystem, potentially simplified billing, and pricing optimizations within their existing cloud spend. This directly competes with MongoDB Atlas by offering a similar service from the underlying infrastructure provider, posing a structural threat to MongoDB's market share and growth as a third-party DBaaS.
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For MongoDB (symbol: MDB), the addressable markets for its main products and services are substantial and primarily global.
- The total addressable market (TAM) for database management is estimated at $96 billion by 2025 globally. This market is projected to grow to $138 billion by 2026.
- The broader global database landscape is considered to be over $100 billion. Another estimate places the "Data Management Software Market" at $153 billion.
- Within this, the operational database segment alone is valued at $45 billion.
- The cloud database market, where MongoDB's flagship product Atlas (cloud database-as-a-service) operates, is projected to reach $72.9 billion by 2028 globally. This market is estimated to grow from $22.43 billion in 2025 to $62.25 billion by 2032.
- MongoDB's core addressable market, specifically in the fastest-growing segments of NoSQL and Database-as-a-Service (DBaaS), is at least $25 billion globally. The DBaaS market is projected to represent 77% of the entire database management systems (DBMS) market by 2028.
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Here are 3-5 expected drivers of future revenue growth for MongoDB (MDB) over the next 2-3 years:- Continued Growth of MongoDB Atlas: MongoDB Atlas, the company's cloud database service, is consistently identified as the primary revenue driver. It constituted 71% of total revenue in Q4 2025, 72% in Q1 2026, and 74% in Q2 2026, with MongoDB projecting over 20% Atlas growth for the next three to five years. This growth is fueled by strong customer acquisition, including through self-serve channels, and increased usage and consumption by existing customers.
- AI-Driven Opportunities and Product Integration: MongoDB is strategically positioning its platform, especially Atlas, as a key component of the AI infrastructure stack. The company has integrated AI capabilities such as vector search and semantic retrieval directly into its NoSQL database stack, which reduces technical debt and accelerates deployment for clients. The acquisition of Voyage AI further enhances these capabilities by enabling users to generate embeddings directly from data within MongoDB.
- Application Modernization and Migration from Legacy Systems: MongoDB is actively targeting the significant market opportunity in application modernization. The company's new Application Modernization Platform (AMP) is designed to accelerate the migration of legacy systems, such as Oracle and Postgres, by up to 90%, which is expected to be a key driver for new business in fiscal year 2027 and beyond.
- Expansion in Strategic Accounts and Upmarket Movement: MongoDB is making incremental investments in its strategic accounts program, aiming to become a standard data platform across more of its largest customers. This strategy is yielding results, with the number of customers generating over $1 million in Annual Recurring Revenue (ARR) showing significant year-over-year growth.
- New Product Releases and Enhancements: Ongoing product innovation and new releases are expected to drive adoption and address specific industry needs. For instance, MongoDB 8.2 delivers performance gains and expanded Queryable Encryption, which is crucial for customers in regulated industries.
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Share Repurchases
- MongoDB increased its share repurchase authorization to $1 billion in June 2025, which included an additional $800 million on top of a previously announced $200 million buyback.
- The company initiated a repurchase program earlier in 2025, driven by growth and improving profitability.
- As of July 31, 2025, MongoDB had $194.446 million worth of share buybacks.
Outbound Investments
- MongoDB acquired Voyage AI, a company specializing in AI-powered embedding and reranking models, in February 2025.
- The acquisition of Voyage AI was for a total consideration of $220 million, with $20 million of this in cash, aiming to enhance MongoDB's AI capabilities for application development.
- MongoDB established its own venture capital fund in 2022.
Capital Expenditures
- For the full fiscal year 2025 (ended January 31, 2025), MongoDB reported capital expenditures of $29.6 million.
- In the three months ended January 31, 2025, capital expenditures amounted to $26.0 million.
- A significant portion of capital expenditures in fiscal year 2025, amounting to $24 million, was attributed to the final purchase of IPv4 addresses.
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 288.65 |
| Mkt Cap | 1,508.4 |
| Rev LTM | 183,235 |
| Op Inc LTM | 47,840 |
| FCF LTM | 7,125 |
| FCF 3Y Avg | 11,916 |
| CFO LTM | 71,716 |
| CFO 3Y Avg | 58,425 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 15.0% |
| Rev Chg 3Y Avg | 12.9% |
| Rev Chg Q | 16.3% |
| QoQ Delta Rev Chg LTM | 3.9% |
| Op Mgn LTM | 21.7% |
| Op Mgn 3Y Avg | 18.9% |
| QoQ Delta Op Mgn LTM | 0.4% |
| CFO/Rev LTM | 28.2% |
| CFO/Rev 3Y Avg | 29.8% |
| FCF/Rev LTM | 16.2% |
| FCF/Rev 3Y Avg | 15.0% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 1,508.4 |
| P/S | 10.5 |
| P/EBIT | 21.8 |
| P/E | 28.7 |
| P/CFO | 24.1 |
| Total Yield | 3.0% |
| Dividend Yield | 0.1% |
| FCF Yield 3Y Avg | 1.1% |
| D/E | 0.0 |
| Net D/E | -0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -8.1% |
| 3M Rtn | -9.4% |
| 6M Rtn | 2.7% |
| 12M Rtn | 5.3% |
| 3Y Rtn | 78.7% |
| 1M Excs Rtn | -12.4% |
| 3M Excs Rtn | -8.9% |
| 6M Excs Rtn | -15.2% |
| 12M Excs Rtn | -10.9% |
| 3Y Excs Rtn | 17.5% |
Comparison Analyses
Price Behavior
| Market Price | $371.33 | |
| Market Cap ($ Bil) | 30.2 | |
| First Trading Date | 10/19/2017 | |
| Distance from 52W High | -15.7% | |
| 50 Days | 200 Days | |
| DMA Price | $397.60 | $287.99 |
| DMA Trend | up | up |
| Distance from DMA | -6.6% | 28.9% |
| 3M | 1YR | |
| Volatility | 63.9% | 71.2% |
| Downside Capture | 270.31 | 197.58 |
| Upside Capture | 268.27 | 200.28 |
| Correlation (SPY) | 34.6% | 44.5% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.69 | 2.49 | 1.92 | 1.78 | 1.64 | 1.80 |
| Up Beta | 2.25 | -0.28 | 0.37 | -0.38 | 1.37 | 1.57 |
| Down Beta | 0.87 | 0.86 | 1.06 | 1.19 | 1.62 | 1.73 |
| Up Capture | 248% | 506% | 310% | 452% | 347% | 1097% |
| Bmk +ve Days | 11 | 22 | 34 | 71 | 142 | 430 |
| Stock +ve Days | 9 | 19 | 27 | 62 | 126 | 378 |
| Down Capture | 603% | 332% | 239% | 192% | 141% | 112% |
| Bmk -ve Days | 9 | 19 | 27 | 54 | 109 | 321 |
| Stock -ve Days | 11 | 22 | 34 | 63 | 124 | 373 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with MDB | |
|---|---|---|---|---|
| MDB | 30.0% | 71.0% | 0.65 | - |
| Sector ETF (XLK) | 24.9% | 26.9% | 0.80 | 49.5% |
| Equity (SPY) | 16.1% | 19.2% | 0.65 | 44.6% |
| Gold (GLD) | 76.5% | 23.4% | 2.38 | 3.6% |
| Commodities (DBC) | 11.1% | 15.9% | 0.48 | 17.7% |
| Real Estate (VNQ) | 5.3% | 16.5% | 0.14 | 26.2% |
| Bitcoin (BTCUSD) | -18.9% | 39.9% | -0.43 | 23.5% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with MDB | |
|---|---|---|---|---|
| MDB | -0.4% | 69.1% | 0.28 | - |
| Sector ETF (XLK) | 17.4% | 24.7% | 0.64 | 54.8% |
| Equity (SPY) | 14.0% | 17.1% | 0.65 | 50.3% |
| Gold (GLD) | 20.8% | 16.5% | 1.03 | 8.1% |
| Commodities (DBC) | 12.2% | 18.8% | 0.53 | 8.4% |
| Real Estate (VNQ) | 4.8% | 18.8% | 0.16 | 35.1% |
| Bitcoin (BTCUSD) | 21.1% | 57.5% | 0.56 | 26.8% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with MDB | |
|---|---|---|---|---|
| MDB | 27.4% | 65.4% | 0.73 | - |
| Sector ETF (XLK) | 23.1% | 24.2% | 0.87 | 52.6% |
| Equity (SPY) | 15.6% | 17.9% | 0.75 | 46.0% |
| Gold (GLD) | 15.6% | 15.3% | 0.85 | 7.9% |
| Commodities (DBC) | 8.5% | 17.6% | 0.40 | 12.2% |
| Real Estate (VNQ) | 5.9% | 20.8% | 0.25 | 31.2% |
| Bitcoin (BTCUSD) | 71.5% | 66.4% | 1.11 | 17.8% |
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Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 8/26/2025 | 38.0% | 46.0% | 47.1% |
| 6/4/2025 | 12.8% | 5.4% | 4.6% |
| 3/5/2025 | -26.9% | -25.7% | -38.2% |
| 12/9/2024 | -16.9% | -24.1% | -30.0% |
| 8/29/2024 | 18.3% | 14.7% | 10.0% |
| 5/30/2024 | -23.9% | -25.8% | -15.0% |
| 3/7/2024 | -6.9% | -10.5% | -11.8% |
| 12/5/2023 | -10.7% | -9.4% | -15.7% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 11 | 13 | 12 |
| # Negative | 12 | 10 | 11 |
| Median Positive | 18.6% | 19.1% | 22.3% |
| Median Negative | -9.2% | -11.5% | -11.8% |
| Max Positive | 38.0% | 46.0% | 49.7% |
| Max Negative | -26.9% | -25.8% | -38.5% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 10/31/2025 | 12/02/2025 | 10-Q |
| 07/31/2025 | 08/27/2025 | 10-Q |
| 04/30/2025 | 06/04/2025 | 10-Q |
| 01/31/2025 | 03/21/2025 | 10-K |
| 10/31/2024 | 12/10/2024 | 10-Q |
| 07/31/2024 | 08/30/2024 | 10-Q |
| 04/30/2024 | 05/31/2024 | 10-Q |
| 01/31/2024 | 03/15/2024 | 10-K |
| 10/31/2023 | 12/07/2023 | 10-Q |
| 07/31/2023 | 09/01/2023 | 10-Q |
| 04/30/2023 | 06/02/2023 | 10-Q |
| 01/31/2023 | 03/17/2023 | 10-K |
| 10/31/2022 | 12/08/2022 | 10-Q |
| 07/31/2022 | 09/02/2022 | 10-Q |
| 04/30/2022 | 06/03/2022 | 10-Q |
| 01/31/2022 | 03/18/2022 | 10-K |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Merriman, Dwight A | Dwight A. Merriman Charitable Foundation | Sell | 1062026 | 422.50 | 1,054 | 445,315 | 34,979,198 | Form | |
| 2 | Cochran, Hope F | Direct | Sell | 12182025 | 410.03 | 1,000 | 410,030 | 9,556,979 | Form | |
| 3 | Cochran, Hope F | Direct | Sell | 12182025 | 421.85 | 1,566 | 660,617 | 10,824,249 | Form | |
| 4 | Merriman, Dwight A | Direct | Sell | 12162025 | 417.83 | 10,000 | 4,178,300 | 435,093,064 | Form | |
| 5 | Merriman, Dwight A | Trust | Sell | 12162025 | 419.11 | 6,000 | 2,514,641 | 208,252,473 | Form |
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