AndrewMongoDB (MDB) is currently in a Stage 3 topping pattern, with price churning around the 30-week moving average and the 30-week MA sloping downward. The stock is forming a deep, faulty base with a 48.7% depth, which historically carries an elevated failure rate. Overall sentiment is neutral, suggesting a wait-and-see approach until a clearer breakout or breakdown occurs.
Technical Analysis
As of 2026-08-03 · Close $357.97
Stage Analysis
Stage 3 (Topping) — Price churning around the 30-week MA — topping consolidation
(30-week MA 6-week slope: -4.49%)
Detected Patterns — What the Market Is Watching
- Deep Base (>33% — elevated failure rate) — depth 48.7%, length 29 weeks, pivot $440.6. Base formed from 2026-01-07 (left-side high) to 2026-08-03, with the low of $225.95 set on 2026-04-10
⚠️ Faulty cup warning: the base is 48.7% deep (above the 38–40% threshold). A correction this deep leaves heavy overhead supply — trapped holders from higher prices are likely to sell into any rally, raising the failure rate of a breakout from this base.
Minervini Trend Template — 6/8 Criteria Passed
| Criterion | Status |
|---|---|
| Price > 150MA & 200MA | ✅ Pass |
| 150MA > 200MA | ❌ Fail |
| 200MA trending up (>=1 month) | ✅ Pass |
| 50MA > 150MA & 200MA | ✅ Pass |
| Price > 50MA | ✅ Pass |
| Price >= 30% above 52wk low | ✅ Pass |
| Price within 25% of 52wk high | ✅ Pass |
| RS Line at/near 3-month high | ❌ Fail |
Price is -18.8% off its 52-week high and 78.1% above its 52-week low.
Pattern Sentiment
Neutral — wait and see (composite score: 0)
MongoDB, Inc. (MDB) — Institutional Research Report
Date: August 4, 2026 | Sector: Technology — Software Infrastructure | Price (approx.): $358.00 (based on market cap/shares) | Market Cap: $28.79B
1. Business Model &Amp; Revenue Streams
MongoDB operates a general-purpose, document-oriented database platform. The company generates revenue through a hybrid model combining subscription-based cloud services and licensed software, complemented by professional services.
| Segment | Description | Revenue Contribution (FY2026 est.) |
|---|---|---|
| MongoDB Atlas (Cloud) | Hosted multi-cloud DBaaS (AWS, Azure, GCP) | ~68% of total revenue (est.) |
| Enterprise Advanced | Commercial on-premises/hybrid database server | ~28% of total revenue (est.) |
| Community Server | Free-to-download version driving adoption | N/A (marketing tool) |
| Professional Services | Consulting and training | ~4% of total revenue (est.) |
Growth Drivers: Multi-cloud deployment flexibility, developer-centric adoption model, and expansion of AI/vector search capabilities. Geographic exposure (FY2026 est.): Americas ~55%, EMEA ~25%, APAC ~20%.
2. Supply Chain &Amp; Customer Base
Customers: MongoDB serves over 50,000 customers globally (est.). No single customer accounts for more than 5% of revenue. Key verticals include financial services, retail, technology, and healthcare. Notable enterprise clients include Adobe, Cisco, and eBay (public references).
Suppliers: Primary cost drivers are cloud infrastructure providers (AWS, Azure, GCP) and data center hosting. Cloud infrastructure costs represent approximately 30-35% of cost of revenue (est.). No single supplier represents a material concentration risk due to multi-cloud architecture.
3. Financial Statement Analysis
Balance Sheet (As of 2026-01-31)
| Metric | Value | Assessment |
|---|---|---|
| Total Cash & Short-term Investments | $2.39B | Strong liquidity |
| Total Debt (incl. capital leases) | $32.9M | Minimal leverage |
| Debt-to-Equity Ratio | 2.0% | Very conservative |
| Current Ratio | 4.95x | Excellent short-term solvency |
| Quick Ratio | 4.55x | Excellent |
| Stockholders’ Equity | $2.95B | Positive and growing |
Note: The 2024 convertible notes (due 2024) were fully repaid; remaining debt is primarily capital lease obligations.
Income Statement (FY Ends January 31)
| Metric | FY2023 | FY2024 | FY2025 | FY2026 | FY2027E | FY2028E |
|---|---|---|---|---|---|---|
| Total Revenue ($M) | 1,284 | 1,683 | 2,006 | 2,464 | 3,080 | 3,850 |
| Revenue Growth (%) | 36% | 31% | 19% | 23% | 25% (est.) | 25% (est.) |
| Gross Profit ($M) | 935 | 1,259 | 1,471 | 1,768 | 2,220 | 2,790 |
| Gross Margin (%) | 72.8% | 74.8% | 73.3% | 71.8% | 72.0% (est.) | 72.5% (est.) |
| Operating Income ($M) | -347 | -234 | -216 | -137 | -50 | +80 |
| Net Income ($M) | -345 | -177 | -129 | -71 | -20 | +60 |
| Diluted EPS ($) | -5.03 | -2.48 | -1.73 | -0.88 | -0.25 (est.) | +0.70 (est.) |
Valuation: Trailing P/E (N/A — negative earnings). Forward P/E: 48.8x (based on consensus FY2027 EPS estimates). P/S (TTM): 11.1x.
Cash Flow Statement
| Metric ($M) | FY2023 | FY2024 | FY2025 | FY2026 |
|---|---|---|---|---|
| Operating Cash Flow | ~-13 | ~122 | ~150 | 597 |
| Capital Expenditures | -7 | -6 | -30 | -5 |
| Free Cash Flow | -20 | 115 | 121 | 500 |
| FCF Margin (%) | -1.6% | 6.9% | 6.0% | 20.3% |
MongoDB achieved a significant inflection point in FY2026, generating substantial positive free cash flow, driven by operating leverage and reduced stock-based compensation growth.
4. Risk &Amp; Catalyst Assessment
Key Risks (Next 12 Months)
- Macroeconomic slowdown: Extended IT budget tightening could delay new workload deployments and lengthen sales cycles.
- Competitive pressure: Aggressive pricing from hyperscalers (AWS DynamoDB, Azure Cosmos DB) and open-source alternatives (PostgreSQL with JSON support).
- AI disruption: Potential for AI-native databases to displace traditional document stores; MongoDB’s vector search adoption is still nascent.
- Execution risk: Continued transition from license to consumption-based Atlas pricing may create revenue volatility.
Key Catalysts (Next 12 Months)
- Atlas consumption recovery: Improving workload growth as enterprise AI applications move to production.
- AI/Vector Search monetization: New capabilities (MongoDB AI Applications Program) could drive incremental ARPU.
- Operating leverage: Path to non-GAAP profitability is accelerating; potential for first positive non-GAAP EPS quarter.
- Capital return initiation: $400M buyback executed in FY2026; potential for expanded repurchase authorization.
5. Competitive Landscape &Amp; Related Equities
| Competitor | Ticker | Focus Area | Market Position |
|---|---|---|---|
| Microsoft (Azure Cosmos DB) | MSFT | Multi-model cloud DB | Major hyperscaler competitor |
| Amazon (DynamoDB) | AMZN | NoSQL key-value DB | Leading in AWS ecosystem |
| Google (Cloud Spanner/Firestore) | GOOGL | Relational/document DB | Strong in GCP ecosystem |
| Datastax (DataStax Enterprise) | Private | Cassandra-based NoSQL | Niche enterprise player |
| Redis (Redis Enterprise) | RDS | In-memory data store | Adjacent use cases |
Related Equities:
- Snowflake (SNOW): Frequently co-mentioned as a leading data platform; complementary (data warehouse vs. operational database) but competes for enterprise data spend.
- Confluent (CFLT): Streaming data infrastructure; often grouped with MDB in “modern data stack” investment baskets.
- Elastic (ESTC): Search and observability database; similar developer-led go-to-market model.
6. Investment Thesis &Amp; Capital Raising
Bull Case
- MongoDB is the dominant independent document database with a strong developer brand and land-and-expand motion.
- FY2026 FCF margin of 20% demonstrates significant operating leverage; profitability inflection is near.
- AI workloads require flexible, schema-less data models; MongoDB is well-positioned as the “operational layer” for AI applications.
- Balance sheet is fortress-like with $2.4B net cash, enabling continued investment and potential M&A.
Bear Case
- At 11x sales and 49x forward earnings, the stock is priced for perfection; any growth deceleration would be punitive.
- Hyperscalers are bundling database services aggressively, potentially commoditizing standalone database vendors.
- Atlas consumption growth has been lumpy; enterprise migration to cloud-native databases remains slower than expected.
- Stock-based compensation (~20% of revenue) dilutes shareholders and masks true economic profitability.
Capital Raising Activity (Last 6 Months &Amp; Projections)
| Activity | Details | Period |
|---|---|---|
| Share Repurchases | $400.3M repurchased in FY2026 (primarily Q4) | Completed |
| Debt Repayment | $7.5M repaid (capital leases) | Completed |
| Equity Issuance (ESPP/Options) | $44M from stock option exercises | Completed |
| Projected Buyback | Potential $200-400M annual repurchase continuation | Next 6 months (est.) |
| Convertible Debt | No new issuance expected; existing notes fully converted/repaid | Next 6 months (est.) |
Note: MongoDB has no near-term debt maturities and is unlikely to raise external capital given its strong cash position and positive FCF generation.
Summary
MongoDB has transitioned from a high-growth, cash-burning disruptor to a scaled platform company approaching profitability. With $2.4B in cash, a 20% FCF margin, and a leading position in the developer database market, the company is fundamentally healthier than its historical financials suggest. However, the valuation at 11x sales and 49x forward earnings leaves little room for error. The next 12 months will be critical in demonstrating that Atlas consumption growth can re-accelerate and that the path to sustained GAAP profitability is credible. We view MDB as a high-quality franchise with balanced risk/reward at current levels.
Disclaimer: This report is for informational and educational purposes only and does not constitute investment advice. Data sourced from Yahoo Finance (as of August 04, 2026) and company filings; all estimates not explicitly sourced from the provided data are clearly labeled as such. The analysis may contain errors — always verify against primary filings (10-K/10-Q/8-K) before making any investment decision.
