AI Consensus Investment Thesis
MDB: MongoDB Stock Price, Analysis & Forecast: 1 Year and 5 Year Targets
MongoDB: 1-Year and 5-Year Forecast Outlook and Rating
MongoDB (MDB) has an immediate Hold & Monitor consensus AI recommendation, based on 14 AI analysts.
The 1-year target is $396 for , with +8.14% expected return (+8.14% including net dividends) and a NEUTRAL rating.
The 5-year target is $569 for , with +55.39% expected return (+55.39% including net dividends) and a NEUTRAL rating.
Latest available market price: USD 366, as of 20 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 0%. As of 2026-10-20.
Gross TTM: 0% · Two-year annualized gross: 0%.
Tax withholding assumption: 30% (US). One-off special payments are excluded.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
Targets retain their original publication dates. Returns use the dated market close and the time remaining to each fixed target date. Current ratings also require fresh quotes and analysis, with more than 90 days remaining. Past targets have no forward return. Eligibility checked .
MongoDB Flagship Insight
Enterprise Database Growth Confronts Persistent Cost Of Capital Headwinds
Research reveals sharp divergence regarding equity valuation durability against elevated yields. While operational consensus confirms accelerating cloud consumption, expanding contract backlogs, and positive GAAP operating profitability, persistent stock-based compensation dilution and competitive open-source database encroachment threaten long-term multiple stability.
How were the Investment Thesis and Forecasts created?
14 AI advisors, guided by 9 analytical frameworks, contribute to the deep analysis by iPulse AI Engine.
Universal Investor (Polymath)
Michael Burry (Vulture)
Elon Musk (Visionary)
Ray Dalio (Strategist)
Machiavelli (Insider)
Superintelligence (Anthropologist)
J.P. Morgan (Titan)
Warren Buffett (Value Purist)
Sherlock Holmes (Whistleblower)
Ran across these frontier AI models
Google Gemini 3.8 Flash
Anthropic Claude Opus 5
OpenAI GPT-6 Astra
Latest published deep-analysis batch. Audit published forecasts in full transparency
MongoDB: forecast questions
What is MongoDB (MDB)'s 1-year price forecast?
MongoDB's 1-year target is $396 for Sept 2027. The current AI rating is NEUTRAL. The expected return from the recorded close is +8.14%, or +8.14% modeled return including net dividends. Latest available market price: USD 366, as of 20 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is MongoDB (MDB)'s 5-year price forecast?
MongoDB's 5-year target is $569 for Sept 2031. The current AI rating is NEUTRAL. The expected return from the recorded close is +55.39%, or +55.39% modeled return including net dividends. Latest available market price: USD 366, as of 20 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is the return basis?
Latest available market price: USD 366, as of 20 Oct 2026. These are model projections, not guaranteed future prices.
How can I compare the AI opinions and audit past MongoDB forecasts?
14 AI analysts contribute to this publication. AI Opinions shows individual advisor forecasts and reasoning. Forecast History preserves earlier published batches; their figures describe their original publication, not today's outlook.
How does an AI-generated forecast for MongoDB differ from Wall Street analyst consensus?
Wall Street consensus aggregates estimates from human analysts. For listed companies, these typically include brokerage price targets, earnings forecasts and ratings. iPulse AI's forecast for MongoDB is a separate AI consensus generated through its own research workflow. Different inputs, forecast dates, assumptions and weighting can therefore produce different targets.
We believe the era of investment research conducted only by human analysts is drawing to a close. Frontier models increasingly match or exceed expert work on selected professional benchmarks, including evaluations covering financial analysis. Research on multi-model synthesis also shows that combining model responses can improve on a single model's output in the tasks studied.
iPulse AI generates transparent investment research and market forecasts using a swarm of AI configurations, analytical frameworks and frontier models. The workflow applies multiple verification, challenge and synthesis layers, with selective editorial review under Russlan Ramdowar, Editor-in-Chief. Published assumptions, disagreements and past forecasts remain available so readers can inspect the reasoning and audit outcomes.
For a research cycle covering 426 assets with 14 perspectives per asset, our internal workload model estimates approximately 114,000 hours of traditional analyst work. It assumes 16 hours per individual research report, 28 hours per consensus for synthesis and validation, plus shared data preparation. Parallel AI execution allows a deep-analysis cycle across hundreds of assets to complete in up to one day. The human-hours figure is an illustrative workload estimate, rather than measured time savings. Our research methodology explains the automated workflow.
MongoDB: Investment Thesis Summary
Dotted terms link to the glossary; hover or focus for a preview. Browse technical terms
If you invest $10,000 in MongoDB at the latest market close (20 Oct 2026): $15,539 by Sept 2031 versus $13,751 for S&P 500 benchmark.
Returns use the same dated market close, fixed targets and remaining dividend period as the forecast table.
The central economic thesis for this cloud database platform hinges on whether authentic operational leverage can overpower persistent discount-rate gravity. The enterprise is executing a structural transition from speculative cash burn into an established cash generator, demonstrated by accelerating consumption growth, surging contract backlogs, and positive GAAP operating income. However, with risk-free sovereign yields hovering near five percent, maintaining an eleven-times sales multiple leaves minimal margin of safety against enterprise spending scrutiny. Intrinsic equity compounding must therefore derive from cash-flow expansion rather than multiple inflation. While public cloud hosting fees impose a ceiling on gross margins, disciplined operating expenditure growth and systematic share repurchases are transforming top-line momentum into tangible per-share owner earnings. The strongest counterargument emphasizes that reported free cash flow remains heavily subsidized by stock-based compensation, while commoditized open-source relational alternatives continuously pressure developer pricing power.
Key insights
- Autonomous agentic architectures increasingly require unified operational document-vector state stores, preventing architectural fragmentation and driving durable long-term consumption retention.
- Asset-light infrastructure offloads datacenter capital expenditure onto hyperscalers, converting incremental sales into cash flow but permanently capping gross margins near seventy-two percent.
- High risk-free benchmark rates enforce valuation discipline, ensuring five-year equity performance reflects underlying operational cash compounding net of stock compensation dilution.
MongoDB: 5 Year Consensus Forecast
20 quarterly price targets, returns and rationale, with advisor range and benchmark
Forward returns are updated using the latest market close price of USD 366, as of 20 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 0%. As of 2026-10-20.
Gross TTM: 0% · Two-year annualized gross: 0%.
Tax withholding assumption: 30% (US). One-off special payments are excluded.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
The consensus target follows an expert-weighted price path synthesized from 14 AI advisor opinions. See Opinion weights and rationale for the exact allocation and reasoning.
Forecast methodology and reference values
Published targets are anchored on 18 Sept 2026 at USD 384. Original quarter-to-quarter target changes are retained. Forward returns use the remaining time to each fixed target date.
The pessimistic and optimistic advisor base cases are the lowest and highest published advisor base-case targets for each quarter. The advisor at either extreme can change between quarters. Benchmark values are in USD.
Scroll the table horizontally to read every column.
| Quarter | Evidence-Weighted Consensus Price Path | Individual Advisor Range & Reference Forecasts | ||||||
|---|---|---|---|---|---|---|---|---|
| Consensus target (USD) | Forecast quarter-to-quarter price change | Forward price return | Forward return incl. net dividends | Forecast rationale | Pessimistic Advisor Base Case (USD) | Optimistic Advisor Base Case (USD) | S&P 500 benchmark (USD) | |
| $382 | -0.35% | +4.32% | +4.32% | Third-quarter results confirm healthy cloud consumption, yet elevated Treasury yields constrain software valuation multiples. Investors weigh positive operating income against guidance implying modest sequential moderation, producing muted net quarterly equity appreciation. | $353 | $410 | $750 | |
| $382 | -0.19% | +4.32% | +4.32% | Annual enterprise budgeting cycles prompt corporate IT spending audits. Historically conservative initial fiscal guidance combines with high interest rates to trigger modest multiple compression, temporarily overshadowing expanding operating cash generation. | $332 | $435 | $736 | |
| $384 | +0.78% | +4.87% | +4.87% | Production deployments of agentic workflows stabilize Atlas query volumes. Solid operating expense discipline and sustained share buybacks provide downside defense, allowing fundamental cash conversion to prompt an initial valuation recovery. | $318 | $457 | $743 | |
| $396 | +2.94% | +8.14% | +8.14% | Surging adoption of unified document-vector retrieval across regulated enterprises expands contract values. Operating margins hold firm, generating modest equity appreciation as markets recognize durable operating leverage over open-source alternatives. | $306 | $475 | $755 | |
| $407 | +2.81% | +11.15% | +11.15% | Year-end enterprise contract renewals accelerate remaining performance obligations. Sustained positive accounting margins and systematic share repurchases neutralize option dilution, supporting steady equity gains despite broader tech sector multiple consolidation. | $291 | $504 | $776 | |
| $415 | +1.89% | +13.33% | +13.33% | Full-year financial disclosures confirm robust cash flow conversion and double-digit operating margins. The demonstrated decoupling from historical cash burn attracts disciplined quality compounder funds, driving measured valuation multiple recovery. | $285 | $529 | $787 | |
| $424 | +2.36% | +15.79% | +15.79% | Periodic cloud workload rationalization across mid-market corporate clients trims sequential net expansion metrics. Intensified competition from bundled hyperscaler databases creates slight quarterly sentiment drag, moderating equity price momentum. | $293 | $518 | $803 | |
| $438 | +3.24% | +19.61% | +19.61% | Accelerated multi-cloud migrations and strong enterprise licensing renewals demonstrate platform indispensability. Surging inference query traffic expands consumption billings, lifting operating cash flows and triggering institutional accumulation. | $299 | $549 | $812 | |
| $453 | +3.31% | +23.71% | +23.71% | Corporate technology budgets prioritize operational data platform modernization over fragmented point solutions. Strong fourth-quarter cash collections and continued dilution sterilization deliver solid per-share earnings growth, lifting market valuation. | $311 | $577 | $839 | |
| $462 | +2.08% | +26.17% | +26.17% | Full-year results confirm annual revenue approaching mature scale alongside substantial free cash flow. While competitive open-source pricing prevents multiple expansion, robust fundamental compounding keeps per-share equity value advancing steadily. | $320 | $606 | $851 | |
| $474 | +2.59% | +29.44% | +29.44% | Mainstream adoption of enterprise autonomous agents embeds database state management deeply into mission-critical workflows. Incremental revenues flow efficiently to operating profit, producing steady capital appreciation in line with earnings compounding. | $327 | $630 | $872 | |
| $487 | +2.67% | +32.99% | +32.99% | Seasonal summer procurement pauses and routine workload indexing optimizations induce flat quarter-over-quarter growth. Stable recurring subscription retention and pristine net cash buffers prevent price contraction, preserving accumulated gains. | $330 | $649 | $886 | |
| $500 | +2.64% | +36.54% | +36.54% | Strong fiscal year-end budget execution accelerates enterprise platform commitments across banking and telecommunications. Expanding operating leverage and programmatic share retirements drive diluted earnings growth, reinforcing constructive equity performance. | $340 | $681 | $910 | |
| $508 | +1.79% | +38.73% | +38.73% | Annual financial reporting validates sustained twenty-percent cash flow compounding. The equity functions increasingly as an institutional-grade compounding asset, as expanding GAAP operating profits overshadow historical dilution concerns. | $347 | $708 | $916 | |
| $519 | +2.14% | +41.73% | +41.73% | Multi-region sovereign cloud mandates drive adoption of self-managed and hybrid database clusters. High-margin licensing renewals complement consumption streams, supporting steady price gains despite law-of-large-numbers growth moderation. | $350 | $730 | $937 | |
| $529 | +1.82% | +44.46% | +44.46% | Commoditization in basic vector search tools limits speculative multiple expansion, while core document data gravity protects customer retention. The stock trades in an orderly range, mirroring underlying free cash flow progression. | $350 | $744 | $947 | |
| $541 | +2.31% | +47.74% | +47.74% | Year-end commercial query volumes surge as automated corporate workflows handle peak seasonal transactions. Operating cash margins remain disciplined, converting high recurring revenues into durable shareholder value accumulation. | $357 | $774 | $970 | |
| $552 | +2.06% | +50.75% | +50.75% | Full-year disclosures confirm mature platform scale exceeding five billion dollars in revenue with robust operating margins. Lower compensation intensity enhances per-share cash conversion, supporting steady institutional re-rating. | $364 | $797 | $980 | |
| $559 | +1.23% | +52.66% | +52.66% | Enterprise application modernization cohorts achieve stable production run-rates, moderating incremental greenfield additions. Consistent share buyback execution buffers equity valuation, keeping quarterly price returns in positive territory. | $368 | $813 | $1,000 | |
| $569 | +1.87% | +55.39% | +55.39% | Closing the five-year horizon, normalized sales multiples fully reflect mature enterprise infrastructure economics. Durable operational data gravity, self-funded reinvestment, and resilient cash generation anchor a solid long-term equity compounding cycle. | $372 | $829 | $1,012 | |
Show remaining 18 quartersShow first 2 quarters only
All 20 quarters are displayed in the table above.
MongoDB Stock Analysis & Scenarios Deep Dive
MongoDB: Alpha Gap & Repricing Catalysts
Market Narrative
What does the market currently expect? Prevailing market sentiment views the asset as an indispensable beneficiary of artificial intelligence and enterprise cloud migration. Wall Street consensus anchors heavily on recent thirty-percent revenue acceleration and non-GAAP margin expansion, assuming usage-based consumption will compound indefinitely. The crowd complacently accepts a double-digit sales multiple, underestimating the valuation gravity exerted by sustained five-percent sovereign bond yields and enterprise IT spending rationalization.
Alpha Gap
What is the biggest difference between market expectations and our AI forecasts? The best-supported direction indicates that the crowd overestimates near-term valuation durability while underestimating structural cash generation. The market conflates headline free cash flow with true owner earnings, overlooking that hundreds of millions in stock compensation dilute per-share claims. However, consensus also overlooks that operating leverage is permanently inflecting positive, backed by a ninety-one percent backlog surge. While multiple compression will absorb part of top-line progress, expanding operational cash flow provides durable fundamental downside support.
Repricing Catalyst
What could make the market recognize and close that gap? Consecutive quarterly filings demonstrating sustained GAAP operating profitability above ten percent alongside twenty-five percent top-line expansion will trigger valuation convergence. The late September 2026 Investor Day and upcoming fiscal reports will clarify agentic monetization and dilution-adjusted cash flow. Observable acceleration in GAAP net earnings will force institutional analysts to abandon speculative revenue multiples and reprice the equity on verified cash-generating power.
MongoDB: Sentiment and Timing
What do sentiment, volatility, and the market-recognition cycle suggest about the thesis timing?
- Greed and Fear Sentiment
- Mixed
- Volatility Regime
- High Erratic
- Convergence Cycle Position
- Growing Awareness
Sentiment diverges between valuation bears noting restrictive monetary gravity and operational bulls celebrating GAAP net income inflection. This positioning tension between multiple compression and durable cash-flow growth creates volatile intermediate trading around quarterly earnings prints.
Macro Regime Fit
Does the current market environment support the thesis? The macroeconomic regime of restrictive central bank policy and five-percent Treasury yields acts as a decided headwind for software multiples. Higher discount rates mathematically compress long-duration growth valuations while corporate budget scrutiny introduces consumption optimization. However, a debt-free balance sheet and robust internal cash generation insulate operations entirely from credit refinancing stress, allowing fundamental compounding despite adverse macro winds.
Advisor Disagreement
What do our AI Advisors disagree about most? The primary analytical dispute centers on valuation multiples versus earnings compounding over the five-year horizon. Cautious perspectives argue that trading above eleven times sales during an era of five-percent sovereign bond yields mandates severe multiple contraction toward historical software averages, offsetting operational growth. In contrast, constructive views contend that expanding GAAP operating margins, robust cash conversion, and a ninety-one percent backlog surge justify a sustained premium multiple as agentic workloads scale. Resolving this disagreement requires observing whether Atlas consumption re-accelerates beyond thirty percent through fiscal 2028 prints while stock compensation declines as a percentage of revenue.
MongoDB: Critical Influencing Factors
Near-certain positive forcesTop Drivers & Tailwinds
Near-certain forces that support the investment thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.
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| Driver / Tailwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Atlas Cloud Consumption Compounding | Competitive Positioning | +32% | +50% | Atlas consumption represents the primary growth engine, expanding nearly thirty percent as enterprise workloads scale across multi-cloud infrastructure. Deep architectural embedding and document-model flexibility create exceptionally punitive developer switching costs. This structural data gravity secures recurring billing expansions, insulating subscription revenues from cyclical budget cuts and driving durable multi-year top-line momentum. |
| Operating Leverage Profitability Inflection | Operational Efficiency | +26% | +45% | Operating overhead is scaling significantly slower than top-line revenue, driving positive GAAP net income and widening operating margins. Sales efficiency gains and research expense absorption convert incremental gross profit directly into free cash flow. This operational turnaround transitions the enterprise from speculative cash burn into an established, self-funding institutional software compounder. |
| Agentic Operational State Consolidation | Innovation And Product | +24% | +35% | Autonomous artificial intelligence agents require flexible JSON document storage and integrated vector retrieval for persistent memory and execution logging. Unifying vector indexing with operational data eliminates synchronization latency and redundant database sprawl. This product capability accelerates enterprise consumption billings, capturing incremental AI infrastructure budgets as autonomous agent deployments enter scaled corporate production. |
| Fortress Liquidity Anti Dilution Framework | Capital Allocation | +15% | +16% | Holding 2.4 billion dollars in net liquidity with zero debt, management executes systematic share repurchases to neutralize stock-based compensation dilution. Retiring shares under positive free cash flow concentrates per-share equity claims. This capital allocation maturity shields balance-sheet resilience against tightening credit cycles and directly reinforces long-term intrinsic value compounding for common equity holders. |
Near-certain negative forcesTop Frictions & Headwinds
Near-certain forces that could slow, cap, or damage the thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.
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| Friction / Headwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Elevated Rate Multiple Compression | Macroeconomic And Macrofinancial | -24% | -6.0% | With policy rates near four percent and benchmark Treasury yields testing five percent, high-multiple growth equities face relentless mathematical discount-rate gravity. Trading above eleven times sales and elevated cash-flow multiples, the equity remains acutely vulnerable to valuation contraction. Persistent cost-of-capital pressures limit speculative multiple expansion regardless of exemplary operational business execution. |
| Open Source PostgreSQL Substitution | Competitive Positioning | -18% | -22% | Enterprise budget scrutiny drives database consolidation toward open-source PostgreSQL augmented with pgvector extensions and native JSON capabilities. For standardized transactional microservices, development teams increasingly deploy zero-royalty Postgres to bypass commercial consumption pricing. This ongoing commoditization exerts persistent pricing friction on greenfield workloads, capping addressable contract expansion in price-sensitive mid-market tiers. |
| Stock Compensation Equity Dilution | Capital Allocation | -16% | -22% | Extensive stock-based compensation creates a substantial wedge between headline free cash flow and true accounting earnings. Because hundreds of millions in annual share repurchases merely neutralize employee option grants rather than reducing net share count, real per-share economic compounding is suppressed, exposing the equity to de-rating if cash quality faces scrutiny. |
| Hyperscaler Feudal Infrastructure Toll | Operational Efficiency | -14% | -18% | Relying entirely on AWS, Azure, and Google Cloud to host database clusters forces the business to pay substantial compute and network hosting tolls. Concurrently, cloud providers cross-sell discounted native database engines inside corporate enterprise agreements. This dual dynamic caps gross margins near seventy-two percent and constrains pricing leverage during major contract renewal cycles. |
MongoDB: What Could Break or Accelerate the Thesis
Event Risk Score: High 71/100Asset-level relative pressure from clustered consensus frictions and tail risks. This is not the probability or risk score of an individual force.Plausible downside scenariosTail Risks
Tail yet plausible downside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Architectural AI State Disintermediation | 26% | -40% | Next-generation autonomous coding architectures could automate relational schema normalization or adopt lightweight embedded columnar formats, bypassing document stores entirely by 2028. This technological shift would eviscerate the document model's developer velocity advantage, slashing net customer expansion below one hundred percent and triggering severe institutional multiple liquidation. |
| Hyperscaler Egress Tariff War | 22% | -34% | Public cloud hyperscalers could implement punitive inter-region data egress tariffs and increase partner hosting surcharges during contract renewals in 2027 to 2028. Unable to pass infrastructure markups to customers without driving churn, gross margins would compress below sixty-five percent, eviscerating projected free cash flow and triggering an acute valuation de-rating. |
Plausible upside scenariosTail Opportunities
Tail yet plausible upside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Autonomous Agent Runtime Standardization | 28% | +45% | Leading foundation model providers and autonomous software engineering frameworks could formally codify the platform as the default reference architecture for persistent agent state memory by 2028. Exponentially surging query volumes would lift annual revenue growth above thirty-five percent and expand free cash flow margins past thirty percent, driving substantial multiple re-expansion. |
| Strategic Sovereign Database Acquisition | 18% | +38% | A major cloud titan or enterprise software conglomerate could launch a cash acquisition offer by 2028 to capture the platform's developer mindshare and multi-cloud data gravity. Given pristine net cash and sticky customer retention, a control premium would instantly reprice shares, though regulatory antitrust scrutiny keeps transaction probability below thirty percent. |
Company Financial AnalysisMongoDB: Earnings and Financials Analysis by AI
Financial figures available as of Sep 20, 2026. Only filings and source records available by this analysis date are included. View latest MongoDB financials here.
Earnings and financials
The company's earnings narrative marks an authentic operational turnaround from historical cash burn toward self-funding scale. Trailing twelve-month revenue reached $2.78 billion through July 2026, advancing over thirty percent in the latest quarter on resilient cloud database consumption. Most importantly, the business generated positive quarterly accounting net income of $40.9 million, reversing years of persistent operating deficits. However, headline results require careful interpretation. Trailing free cash flow reached an impressive $667 million, but this figure is heavily flattered by adding back hundreds of millions in non-cash stock compensation. While underlying business operations are generating real cash, true per-share compounding depends on expanding genuine GAAP profits beyond employee equity awards.
Revenue, earnings, and cash flow
The table compares up to five fiscal years of revenue, net income, and free cash flow available to this analysis.
| Fiscal year | Revenue | Net income | Free cash flow |
|---|---|---|---|
| 2026 | USD 2.5B | USD -71.2M | USD 500.2M |
| 2025 | USD 2B | USD -129.1M | USD 120.6M |
| 2024 | USD 1.7B | USD -176.6M | USD 115.4M |
| 2023 | USD 1.3B | USD -345.4M | USD -20.2M |
| 2022 | USD 873.8M | USD -306.9M | USD -1.1M |
Valuation context: historical P/E
The table compares up to five fiscal years of point-in-time valuation evidence available to this analysis.
| Fiscal year | P/E | Earnings basis | Currency basis | Ticker / reporting |
|---|---|---|---|---|
| 2026 | -- | TTM | Loss-making | USD / USD |
| 2025 | -- | TTM | Loss-making | USD / USD |
| 2024 | -- | TTM | Loss-making | USD / USD |
| 2023 | -- | Annual | Loss-making | USD / USD |
| 2022 | -- | Annual | Loss-making | USD / USD |
P/E uses historical market capitalization and earnings known at each period. Cross-currency observations are normalized to USD using point-in-time FX rates.
Profitability and margins
Profitability margins reveal a tale of two distinct forces moving in opposite directions. Gross profit margins have drifted modestly downward toward 71.7%, reflecting the growing revenue share of cloud-hosted database services that incur third-party infrastructure fees. These cloud hosting tolls establish an effective ceiling on future gross profit expansion. Conversely, operating efficiency has improved dramatically. Non-GAAP operating margin surged to 24% in the latest quarter as general administrative and sales overhead scaled efficiently against expanding subscription volumes. Incremental customer additions are requiring proportionally less sales expenditure, demonstrating that the business has achieved authentic operating leverage.
The table compares up to five fiscal years of operating income and reported profitability margins.
| Fiscal year | Operating income | Operating margin | Net margin |
|---|---|---|---|
| 2026 | USD -137M | -5.6% | -2.9% |
| 2025 | USD -216.1M | -10.8% | -6.4% |
| 2024 | USD -233.7M | -13.9% | -10.5% |
| 2023 | USD -346.7M | -27.0% | -26.9% |
| 2022 | USD -289.4M | -33.1% | -35.1% |
Balance sheet and leverage
The balance sheet provides exceptional financial safety and total strategic independence. The company closed July 2026 holding over $2.4 billion in cash and short-term investments against virtually zero funded debt, reflected in a nominal debt-to-equity ratio of 0.01 and a current ratio of 4.65. This fortress structure eliminates solvency and refinancing dangers in an environment of high interest rates, allowing the company to earn substantial interest income on its cash hoard. Management is leveraging this pristine liquidity to fund systematic share buybacks, deploying hundreds of millions annually to defend per-share equity value against stock dilution.
The table compares up to five fiscal years of debt, liquidity, net cash or debt, and current-ratio evidence.
| Fiscal year | Total debt | Cash + short-term investments | Reported net cash / (debt) | Debt less (cash + short-term investments), calculated | Current ratio |
|---|---|---|---|---|---|
| 2026 | USD 32.9M | USD 2.4B | USD 1.1B net cash | USD -2.4B | 4.65x |
| 2025 | USD 36.5M | USD 2.3B | USD 453.6M net cash | USD -2.3B | 5.20x |
| 2024 | USD 1.2B | USD 2B | USD 381M net debt | USD -831.4M | 4.40x |
| 2023 | USD 1.2B | USD 1.8B | USD 729M net debt | USD -651.8M | 3.80x |
| 2022 | USD 1.2B | USD 1.8B | USD 709.4M net debt | USD -642.6M | 4.02x |
Reported net debt retains the source definition, which can deduct cash alone. Cash plus short-term investments is broader liquidity; the separately calculated column subtracts that full amount from total debt for the same fiscal period and currency. Reported net debt below zero is displayed as net cash. Current ratio is current assets divided by current liabilities.
Capex and investment intensity
Management operates an exceptionally capital-light business model, keeping physical capital expenditures at a minuscule 0.20% of revenue in fiscal 2026. Instead of spending billions constructing proprietary datacenters and buying physical servers, the company rents compute and storage directly from major cloud providers like Amazon, Microsoft, and Google. This asset-light posture releases operating cash directly into free cash generation rather than tying it up in depreciating physical equipment. Instead, corporate investment is focused on software engineering, with research and development absorbing $716 million in fiscal 2026. This setup provides immense capital agility, though it surrenders infrastructure hosting markups to cloud providers.
The table compares up to five fiscal years of capital expenditure and research-and-development investment.
| Fiscal year | Capital expenditure | R&D spend |
|---|---|---|
| 2026 | USD 5M | USD 716.3M |
| 2025 | USD 29.6M | USD 596.8M |
| 2024 | USD 6.1M | USD 515.9M |
| 2023 | USD 7.2M | USD 421.7M |
| 2022 | USD 8.1M | USD 308.8M |
Behind the synthesisMongoDB: How Each Individual AI Forecaster Opinion Shapes the Global Consensus
This publication’s recorded synthesis allocated voting influence across 14 advisor opinions. The weights and rationales below are retained from that synthesis.
The research consensus reveals sharp divergence between operational execution and equity valuation mechanics. Across all reports, primary evidence confirms that cloud database consumption continues compounding near thirty percent, supported by expanding enterprise contracts and positive accounting profitability. However, correlated assumptions emerge around multiple durability. Several optimistic perspectives fail to reconcile an eleven-times sales multiple with five-percent benchmark Treasury yields and dilutive stock-based compensation. Conversely, the strongest contrarian case demonstrates that reported free cash flow is heavily subsidized by equity grants, while open-source PostgreSQL with vector extensions actively contests new application workloads. The weighting structure heavily favors reports that incorporate primary SEC disclosures and macro interest-rate reality, penalizing hyperbolic narratives that project unconstrained multiple expansion. Unresolved uncertainty centers on whether autonomous agentic workflows will accelerate Atlas consumption faster than enterprise query optimization slows it down. Consequently, relative weights prioritize balanced models reflecting steady operational compounding tempered by multiple compression.
All 14 opinions
Universal Investor AI
The Polymath
OpenAI GPT-6 Astra · 2026-09-03 releaseWeight: 11.1%
Provides primary-source verification from official filings and Federal Reserve policy releases. It meticulously evaluates stock-based compensation overhead, product-cycle timing, and competitive Postgres dynamics, establishing an exceptionally sound, evidence-backed intermediate return trajectory.
Universal Investor AI
The Polymath
Anthropic Claude Opus 5 · 2026-07-24 releaseWeight: 11.1%
Exhibits superior empirical grounding with primary filing evidence, dissecting the disconnect between plateauting top-line growth rates and genuine operating margin inflection. The balanced tension between cash flow expansion, stock compensation dilution, and multiple compression is causally rigorous.
Ray Dalio AI
The Strategist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.4%
Provides a coherent macro perspective balancing debt cycle dynamics with structural operational growth. It correctly recognizes that pristine debt-free liquidity insulates operations from refinancing shocks, though its long-term multiple stability assumption leans slightly optimistic against persistent sovereign discount rates.
Niccolo Machiavelli AI
The Insider
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.4%
Captures the operational inflection under executive leadership and details contract backlog momentum. However, its aggressive multiple expansion scenario underplays macro duration drag from five-percent Treasury yields and assumes frictionless enterprise AI monetization without sufficient margin of safety.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.4%
Constructs a robust fundamental bridge connecting agentic workload expansion with positive accounting profitability. While properly identifying customer expansion mechanisms, its terminal valuation assumptions assume somewhat benign multiple durability against a hawkish monetary policy backdrop.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.4%
Applies sound business-owner logic, identifying high customer switching costs and asset-light cash generation while demanding valuation discipline. The analysis appropriately penalizes high sales multiples under elevated interest rates, providing a prudent anchor on terminal enterprise value.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.4%
Thoroughly evaluates multi-cloud deployment moats, unified vector integration, and share repurchase mechanics. It models balanced operational progress, though it occasionally treats consumption-based revenue as insulated from macro corporate budget pruning.
Michael Burry AI
The Vulture
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Offers rigorous forensic scrutiny regarding stock-based compensation and economic owner earnings, highlighting dilution risks under high Treasury yields. However, it understates genuine operating leverage and durable Atlas enterprise retention, projecting extreme valuation compression that lacks full operational support.
Elon Musk AI
The Visionary
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Presents sharp technical scrutiny regarding vector memory architectures and open-source PostgreSQL substitution. While identifying legitimate developer adoption frictions, it overstates near-term thermodynamic displacement risks given extensive switching costs embedded across large enterprise document-model workloads.
Sherlock Holmes AI
The Whistleblower
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Effectively highlights Enterprise Advanced licensing resilience in sovereign and private deployments alongside Atlas expansion. However, its projected trajectory discounts potential enterprise IT budget optimization cycles and models slightly aggressive terminal multiples in late forecast quarters.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Presents strong arguments regarding backlog expansion and Model Context Protocol integration in agentic architectures. Its long-term scenario remains plausible, though near-term quarterly projections slightly underestimate discount-rate drag during periods of heightened rate volatility.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.6%
Delivers insightful analysis on public cloud hosting tolls and competitive encroachment. Nonetheless, it excessively discounts operational cash conversion and remaining performance obligations, forecasting stagnant equity value by underestimating multi-cloud database stickiness across core enterprise accounts.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.6%
Demonstrates healthy skepticism toward owner earnings quality and stock compensation leakage. While identifying genuine valuation vulnerabilities, its assumption of persistent multiple compression excessively dampens equity compounding from undeniable underlying free cash flow expansion.
J.P. Morgan AI
The Titan
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 3.7%
Accurately articulates mission-critical data gravity and cash flow inflection, but relies on hyperbolic imperial framing. It minimizes severe valuation sensitivity to five-percent yields, forecasting an unrealistic multiple expansion that overshoots defensible corporate software benchmarks.
References & Context
Research Provenance
Analysis generated by iPulse AI Engine v7 using recorded market data, operating under the editorial standards and supervision of Russlan Ramdowar, Editor-in-Chief.
External references below are sources recorded by the researcher agents for this MongoDB forecast batch.
Primary analysis inputs
- iPulse AI Multi-Agent Forecasts — independent analyst personas, model outputs, and consensus synthesis.
- iPulse AI Global Events Context — macroeconomic, geopolitical, regulatory, and industry-event context.
- Structured market history — prices, distributions, volatility, identifiers, and listing metadata.
- Company earnings and financial statements — revenue, profitability, balance-sheet, cash-flow, and investment trends.
- Researcher web evidence — public sources consulted to challenge and contextualize the forecast thesis.
Independent AI Advisor panel
- AI Advisors
- 14
- AI Researchers
- 11
- AI Thinkers
- 3
Sources retained from AI Researcher searches
Asset-specific · Researcher web36 available sources from this batch (52 recorded). The first 15 are shown below; expand to read the rest.
- Federal Reserve Board - Federal Reserve issues FOMC statement federalreserve.gov
- mdb-20260731 sec.gov
- MongoDB, Inc. - Form 10-K - FY2026 sec.gov
- MongoDB, Inc. - Form 10-Q - FY2026 sec.gov
- MongoDB, Inc. - Form ARS - FY2026 sec.gov
- MongoDB, Inc. Announces Second Quarter Fiscal 2027 Financial Results | MongoDB, Inc. investors.mongodb.com
- Is MongoDB (MDB) Stock the Best AI Database Play Before September 1 Earnings? - 24/7 Wall St. 247wallst.com
- MongoDB (MDB) Q2 2027 Earnings: Results, Market Reaction & History | 24/7 Wall St. 247wallst.com
- These Analysts Revise Their Forecasts On MongoDB After Q2 Results - MongoDB (NASDAQ:MDB) - Benzinga benzinga.com
- Check out MongoDB, Inc.'s stock price (MDB) in real time cnbc.com
- MDB Stock Quote Price and Forecast | CNN cnn.com
- Lakebase Postgres | Databricks on AWS docs.databricks.com
- MongoDB Is Surging—And the Next Catalyst Is Almost Here finance.yahoo.com
- MongoDB Q2 FY2027 earnings beat but stock falls on Atlas growth finance.yahoo.com
- MongoDB Inc (MDB) Shares Surge 4.5% -- What GF Score of 86 Tells Investors gurufocus.com
Show 21 more sources
- MongoDB Q2 FY27: Earnings Beat Fails to Satisfy Expectations for Atlas – HyperFRAME Research hyperframeresearch.com
- Investor Relations | MongoDB, Inc. investors.mongodb.com
- MongoDB, Inc. Announces Fourth Quarter Fiscal 2026 Financial Results | MongoDB, Inc. investors.mongodb.com
- MDB — 2026-09-02 Analysis investwithattention.com
- MongoDB Alternatives in 2026: Postgres, MySQL, Oracle ... jamsql.com
- FinancialContent - Why MongoDB (MDB) Stock Is Up Today markets.financialcontent.com
- MongoDB Atlas Now Delivers Industry-Leading Context Retrieval with Precision Accuracy | MongoDB mongodb.com
- MongoDB Delivers Accurate AI Retrieval Wherever Enterprise Data Lives | MongoDB mongodb.com
- MongoDB Makes Enterprise AI Production Ready | MongoDB mongodb.com
- MongoDB Sets a New Standard for Retrieval Accuracy with Voyage 4 Models for Production-Ready AI Applications | MongoDB mongodb.com
- MongoDB Earnings: High Expectations Around AI-Led Growth Overshadow Solid Quarterly Results | Morningstar morningstar.com
- Is MongoDB a Good Stock to Buy in September 2026 naga.com
- MongoDB, Inc. Announces Second Quarter Fiscal 2027 Financial Results prnewswire.com
- Refonte Learning : The Vector Database Shakeout: Why Postgres Keeps Winning in 2026 refontelearning.com
- MongoDB projects fiscal 2027 revenue of $2.99B to $3.03B while raising Atlas growth outlook to ~27% (NASDAQ:MDB) | Seeking Alpha seekingalpha.com
- atlas and voyage ai investments will expand future ai capabilities simplywall.st
- MongoDB (NasdaqGM:MDB) Stock Forecast & Analyst Predictions - Simply Wall St simplywall.st
- MongoDB (MDB) Stock Forecast & Analyst Price Targets stockanalysis.com
- MongoDB Q2 Revenue Hits $771.8M, Guidance Raised | MDB Stock News stocktitan.net
- MongoDB vs PostgreSQL 2026: 4x Insert Speed, 3x Cost Gap tech-insider.org
- MongoDB vs PostgreSQL: When NoSQL Actually Wins [2026] tech-insider.org
16 additional sources are recorded in this batch; their citation details are not available in this publication.
Context retained with this Consensus
The same public-safe market, global-event, and fundamental context supplied to the AI Advisor panel.
Global context snapshot
2025 Full-Year Global Market and World-Events Context
Download Archived SnapshotCoverage 2025-01-01 to 2025-12-31 · Knowledge cutoff 2025-12-31
This full-year context package covers the principal geopolitical, economic, monetary-policy, technology, trade, energy, and institutional developments that shaped global markets during 2025. It gives the forecasting model a chronological account of major world events together with their likely transmission into growth, inflation, interest rates, supply chains, commodities, currencies, public markets, and sector-level investment conditions.
Archived context covering 2025-01-01 to 2025-12-31. Its recorded scope includes technology and capital cycle; trade and industrial policy; monetary policy. Selected highlights reflect the analysis cutoff, not current world conditions.
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- File size
- 90.8K bytes
- Words
- 13.3K words
- Characters
- 90.8K characters
- Est. tokens (characters ÷ 4)
- 22.7K tokens
The package also includes monthly and quarterly macroeconomic and cross-asset reference tables spanning US and international growth, central-bank policy, sovereign yields, major equity indices, foreign exchange, energy, industrial and precious metals, and digital assets. Quarterly and full-year high-impact summaries are integrated; monthly quantitative series remain working values pending final audit, and that qualification is part of the preserved context.
| Selected highlights from this archived snapshot | Date | Status |
|---|---|---|
| DeepSeek shock and AI economics reset | 2025-01-27 | OPEN ENDED TREND |
| US tariff regime escalation and trade-system rupture | 2025-02-01 | ACTIVE POLICY REGIME |
| Federal Reserve easing cycle after a prolonged hold | 2025-09-17 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
2026 Year-to-Date Global Market and World-Events Context Through September 20
Download Archived SnapshotCoverage 2026-01-01 to 2026-09-20 · Knowledge cutoff 2026-09-20
January 1-September 20, 2026: monetary tightening, energy security, trade restrictions, AI financing and divergent growth; five leading market themes.
Archived context covering 2026-01-01 to 2026-09-20. Its recorded scope includes monetary policy and rates; geopolitics energy and shipping; trade and industrial policy. Selected highlights reflect the analysis cutoff, not current world conditions.
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- File size
- 84.8K bytes
- Words
- 12.4K words
- Characters
- 84.8K characters
- Est. tokens (characters ÷ 4)
- 21.2K tokens
Fed raised rates to 3.75%-4.00%; ECB hike is in force and BOJ increase starts September 24. Markets through September 18, bitcoin through September 19.
| Selected highlights from this archived snapshot | Date | Status |
|---|---|---|
| Renewed monetary tightening amid persistent inflation | 2026-01-30 | ACTIVE POLICY REGIME |
| Iran/Hormuz conflict and wider energy-security disruption | 2026-02-28 | ONGOING |
| Tariff legal reset and strategic supply restrictions | 2026-02-20 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
Fundamental Context Passed as Input to the Models
Time range: Annual fiscal periods: 2016-01-31–2026-01-31, 11 periods; Quarterly fiscal periods: 2023-10-31–2026-07-31, 12 periods.
Currencies cited: USD (quote USD; primary reporting USD; converted/valuation USD).
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Income statement
9 fieldsdepreciationAndAmortization · ebit · ebitda · grossProfit · +5 more fields
Balance sheet
12 fieldscash · commonStockSharesOutstanding · longTermDebt · netDebt · +8 more fields
Cash flow
5 fieldscapitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field
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