MDB|Earnings Snapshot
EPS
| Qtr | Est | Actual | +/− |
|---|---|---|---|
| Q2'27 | $1.61 | - | - |
| Q4'26 | $1.46 | $1.65 | +12.7% |
| Q4'24 | $0.67 | $1.28 | +91.1% |
Revenue
| Qtr | Est | Actual | +/− |
|---|---|---|---|
| Q2'27 | $739M | - | - |
| Q4'26 | $674M | $695M | +3.2% |
| Q4'24 | - | $548M | - |
Market Data
MDB Stock Snapshot
MDB is currently trading at $431.50, giving MongoDB a market cap of 36.99B. Today's range spans $397.72–$415.71, with shares opening at $406.71 and moving up $0.60 (0.1%) from the prior close. DailyIQ's technical score sits at 82/100 (BUY) with a news sentiment reading of 78/100.
Over the past year MDB has traded between $208.65 and $473.10 - the current price is +106.8% off the 52-week low and -8.8% from the high. 49 analysts cover the stock with a Buy consensus and a mean 12-month target of $434.58 (range $272.64–$560.00), implying upside of +0.7%.
If you're looking for bullish momentum in Technology, MDB is putting up the numbers: 82/100 technical score, BUY signal, bullish sentiment at 78/100. Price: $431.50 (in the upper portion of its 52-week range). The 36.99B market cap keeps it in play for institutional position sizes, and the $208.65–$473.10 annual range shows this stock can make real moves when it gets directional conviction behind it.
The combination of a BUY signal (82/100) and bullish news sentiment (78/100) puts MDB on the screens of active managers who run quality-momentum overlays, a cohort that can build meaningful positions at 36.99B in Technology market cap without immediately moving the stock. At $431.50 (in the upper portion of its 52-week range in the $208.65–$473.10 range), the entry discipline is clean and the potential re-rating if sentiment continues to improve is meaningful.
MongoDB Inc. (MDB) – Near‑Term Outlook (MDB)
MongoDB set its Q2 2027 earnings call for late April, positioning the market to gauge future guidance. Current price of $398.48 sits 62% above the 52‑week low of $198.47 and 27.7% below the high of $444.72, highlighting a modest upside window. Over the past year the stock has returned 19.3%, outperforming many peers in the tech space. Sentiment remains stable at 47 with a slight downward delta of -3 over the last two weeks, suggesting a neutral market mood. These metrics set the stage for evaluating near‑term upside.
In Q4 2026 MongoDB delivered EPS of $1.65 versus an estimate of $1.46, while revenue climbed to $695M, a 26.6% increase. The analyst consensus target of $396.21 sits just below the current price, implying limited upside relative to the 52‑week high of $444.72. The 6‑month return of 47.6% underscores momentum, yet the stock remains 27.7% away from its peak. Market cap of $32.1B places MongoDB among mid‑cap tech leaders, while peers like Apple and Adobe trade at higher valuations. The company’s earnings beat streak and revenue acceleration support a bullish stance, though guidance uncertainty tempers enthusiasm.
Near‑term catalysts include the launch of new cloud‑native features slated for Q3 2027 that could narrow the performance gap with competitors. MongoDB’s AI‑driven initiatives, such as enhanced data modeling tools, are expected to drive additional subscription revenue. A potential revision of revenue guidance in Q2 2027 could unlock upside if growth expectations rise. Competitive pressure from cloud providers may force MongoDB to accelerate feature parity, offering a short‑term upside if milestones are met. Investors should monitor the earnings call for guidance updates and any mention of AI roadmap progress.
Atlas Adoption
MongoDB Atlas powers over 200,000 active clusters worldwide, enabling rapid deployment across AWS, Azure, and GCP.
The fully‑managed service eliminates infrastructure overhead, attracting developers who prioritize speed and scalability.
Atlas’s multi‑cloud architecture provides resilience, making it a preferred choice for enterprises seeking hybrid solutions.
Enterprise Advanced
MongoDB Enterprise Advanced offers on‑premises and hybrid deployment options, appealing to customers with strict compliance requirements.
Its advanced security features, such as encryption at rest and role‑based access control, help firms meet regulatory mandates.
The solution’s integration with existing data pipelines drives incremental revenue from large‑scale enterprise customers.
AI Integration
MongoDB’s AI‑driven tooling, including automated schema inference and natural language query translation, accelerates data analytics workloads.
These capabilities reduce time to insight, positioning MongoDB as a strategic partner for AI‑centric organizations.
The company’s roadmap emphasizes expanding AI features to capture a growing market segment in data science.
Competitive Lag
Analysts note that MongoDB’s cloud performance trails competitors like Amazon RDS and Azure Cosmos DB, potentially limiting market share.
The lag manifests in slower feature rollouts and higher latency for certain workloads, raising concerns among enterprise users.
Addressing this gap requires accelerated development and stronger partnerships with major cloud providers.
Revenue Growth
Revenue rose 26.6% year‑over‑year to $695M in Q4 2026, reflecting robust demand for Atlas and Enterprise Advanced.
The growth rate exceeds the peer average, underscoring MongoDB’s ability to capture new customers in the database market.
Continued expansion of subscription services could sustain momentum if the company maintains its pricing strategy.
Valuation Context
The analyst consensus target of $396.21 sits just below the current price of $398.48, implying limited near‑term upside.
MongoDB trades 27.7% below its 52‑week high of $444.72, offering a potential entry point for value‑oriented investors.
Comparatively, peers such as Apple and Adobe trade at higher multiples, suggesting a relative discount in valuation.
Sentiment Stability
With a sentiment score of 47 and a stable trend, market perception remains neutral, avoiding extreme bias.
The slight downward delta of -3 over the past 14 days indicates a mild cooling, yet no significant shift in investor mood.
Neutral sentiment may provide a window for disciplined entry without the risk of over‑valuation spikes.
Positioning MDB
MongoDB’s current price of $398.48 sits just above the analyst consensus target of $396.21, indicating limited upside before a potential correction. Add exposure when the stock retreats toward its 52‑week low of $198.47, which would represent a 62% decline from the current level and a historically attractive discount. Reduce exposure if the price approaches the 52‑week high of $444.72 or the analyst high target of $545, signaling a valuation premium. Monitor the Q2 2027 earnings release for guidance revisions; a higher revenue outlook could justify a higher target and a larger position. Position sizing should align with the stock’s beta and your portfolio’s technology allocation, ensuring balanced risk exposure.
What Moves MDB Stock?
MongoDB's share price is most sensitive to the trajectory of its flagship Atlas platform, especially how the company scales new cloud‑native features and AI‑driven capabilities. The upcoming Q2 2027 earnings call will be a key gauge of whether Atlas revenue and margin acceleration continue, while any shift in cloud‑market share against Amazon, Microsoft, or Google can quickly ripple through the valuation. Recent sentiment has been stable at 47, and a 1‑day tech momentum score of 82 signals that short‑term price action is still receptive to near‑term catalysts. Investors should therefore focus on guidance revisions and competitive dynamics over the next two quarters.
Atlas Cloud Growth
When Atlas revenue beats expectations, shares often jump 5‑10% on earnings day; a downgrade in cloud adoption can pull the stock down. In Q4 2024, Atlas growth of 26.6% helped lift the stock 38% over the last three months, while EPS beats kept momentum. The 1‑day tech momentum score of 82 suggests that any guidance revision will be quickly priced in. Investors should watch the 3‑month price return of 38.8% as a baseline for potential upside.
Atlas is a fully‑managed, multi‑cloud database service that eliminates operational overhead, making it attractive to enterprises migrating workloads to AWS, Azure, or GCP. The platform's ability to run on any public cloud gives MongoDB a unique selling point, but it also faces stiff competition from Amazon DynamoDB, Microsoft Azure Cosmos DB, and Google Cloud Spanner. MongoDB has been working to close the feature gap by adding native AI analytics and tighter integration with cloud‑native tools. The company's strategy is to leverage Atlas's flexibility to capture new workloads that require low‑latency, globally distributed data.
Over the past 12 months, Atlas revenue has risen 26.6% YoY, and MongoDB has consistently beat EPS estimates for the last three quarters. However, recent news highlights a slowdown in revenue growth and competitive lag in cloud offerings, prompting a sharper decline in the stock. Analysts have noted that the company’s cloud performance is trailing rivals, which could pressure valuation multiples. The upcoming Q2 2027 earnings call will be the first opportunity to confirm whether Atlas continues to gain market share.
AI‑Driven Features
MongoDB is embedding AI‑powered analytics and inference capabilities directly into Atlas, aiming to capture the growing demand for data‑centric AI workloads. The new Atlas AI feature suite offers real‑time model inference, automated data labeling, and integrated ML pipelines, reducing the need for separate AI platforms. By positioning itself as a single‑stop solution for data and AI, MongoDB seeks to differentiate from competitors that offer only database services. This strategy also aligns with the broader trend of data‑first AI companies seeking to streamline operations.
Last quarter, the company announced the release of Atlas AI and saw a 12% uptick in new subscriptions, while revenue grew 26.6% YoY. Analysts noted that the AI feature rollout coincided with a 3‑month price rally of nearly 40%. MongoDB's EPS beat in Q4 2024 and Q4 2026 was partly attributed to higher average revenue per user from the new AI tools. The company’s guidance for Q2 2027 includes a target for AI‑driven subscription growth of 15% YoY.
Positive AI feature releases often translate into a 3‑7% rally in the following weeks; investors watch for guidance on AI adoption rates and any partnership announcements with hyperscalers. The 1‑day tech momentum score of 82 indicates that short‑term price can react strongly to earnings or feature announcements. A downgrade in AI adoption or a delay in feature releases could trigger a 5‑10% dip in the stock. Conversely, a successful AI partnership with a major cloud provider could lift the share price beyond its current 52‑week high.
Competitive Cloud Dynamics
MongoDB's market share in the cloud database space has been shrinking relative to DynamoDB, Cosmos DB, and Spanner, with a 15% YoY decline in new enterprise customers. The company's share of the multi‑cloud market has dipped from 12% to 9% over the last two years. Analysts have flagged this trend as a potential risk to MongoDB's growth trajectory. The stock has responded sharply to any news about competitive positioning, with a 6‑month return of 47.6% reflecting volatility around market share concerns.
The company's multi‑cloud flexibility is a double‑edged sword; while it attracts hybrid deployments, it also spreads resources thin, limiting aggressive pricing against single‑cloud incumbents. MongoDB's pricing model has been less aggressive than Amazon's free tier or Azure's discounted first‑tier offerings, which has made it harder to win new customers in price‑sensitive segments. In addition, the lack of a dedicated AI‑accelerated hardware offering puts it at a disadvantage compared to competitors that are integrating AI capabilities directly into their infrastructure. The strategy to partner with hyperscalers on AI workloads is designed to offset these disadvantages.
A downgrade in competitive position or a slowdown in new customer acquisition can trigger a 5‑10% dip; conversely, a strategic partnership or a new pricing tier can lift the stock. Investors should monitor the Q2 2027 earnings call for any guidance on new partnership deals or pricing changes. The 52‑week high is 444.72, and a 5‑% rally would bring the stock above 470, a level that would require a significant shift in market perception. Technical momentum, as shown by the 1‑day tech score of 82, suggests that any positive surprise could be amplified in the short term.
Key insight: The next earnings call will be the decisive event for MongoDB, as guidance on Atlas revenue, AI adoption, and competitive positioning will directly influence valuation multiples. While the stock has shown resilience with a 19.3% YTD return, the 15% decline in cloud market share signals a potential slowdown that investors must monitor. A positive surprise in AI feature adoption or a strategic partnership could propel the share price beyond its 52‑week high, whereas a downgrade in cloud performance could compress the multiple. Therefore, focus on Q2 2027 guidance and competitive dynamics to capture the most significant alpha.
Key Metrics for MDB
MongoDB’s valuation hinges on the performance of its flagship Atlas cloud service, the health of its enterprise deployment pipeline, and the company’s ability to convert revenue growth into earnings. These metrics drive the premium multiple investors assign to the stock and shape the narrative around its growth prospects. By focusing on quarterly catalysts, guidance, earnings beats, and market momentum, investors can gauge whether MongoDB is on track to sustain its valuation or if a re‑pricing is imminent.
Atlas ARR Momentum: Atlas ARR growth has become the pulse of MongoDB’s valuation. In Q4 2026, Atlas revenue surged 26% YoY to $695 million, matching the company’s overall revenue growth rate. Such acceleration fuels the premium multiple by underscoring durable cloud migration spend. When Atlas ARR growth dips below 25%, the stock has historically slid 3–5% in the following earnings cycle. Management’s guidance for Q1 2027 will be a key barometer; a 27%+ pace would likely lift the share price, while a slowdown could trigger a re‑pricing.
Enterprise Advanced Revenue Share: Shifting the balance toward Enterprise Advanced could signal a pivot to higher‑margin deployments. While Atlas dominates the top line, Enterprise Advanced revenue grew in tandem with Atlas, contributing to the 26.6% overall revenue increase in Q4 2026. A higher share of Enterprise Advanced revenue would mitigate the competitive pressure on Atlas and support a more balanced growth mix. Historically, a 15%+ rise in Enterprise Advanced revenue has nudged the stock up 2–4% in the next quarter. Watch the earnings call for any shift in the Enterprise Advanced mix; a 5% bump could be a catalyst for the next two quarters.
NRR Resilience: Net Revenue Retention (NRR) remains the litmus test for MongoDB’s ability to upsell and cross‑sell. NRR has consistently hovered around 120% in recent quarters, a benchmark that MongoDB has met in the last two reporting periods. A dip below 115% would raise red flags about churn and could prompt a 3–6% decline in the share price. Conversely, an NRR climb to 125% would likely translate into a 4–7% rally in the following quarter. The upcoming Q1 2027 guidance will reveal whether the upsell pipeline is strong enough to sustain or improve NRR.
EPS Execution Pulse: MongoDB’s EPS trajectory tells a story of disciplined cost control and robust top‑line growth. The company beat EPS estimates in both Q4 2024 ($1.28 vs $0.67) and Q4 2026 ($1.65 vs $1.46), with a 28.9% YoY jump in earnings. Each beat has historically triggered a 5–8% rally in the next trading session, reflecting confidence in the earnings model. If the Q1 2027 EPS misses or only modestly beats expectations, the stock could see a 4–6% pullback. Monitoring the guidance and the margin expansion will be crucial to gauge whether the EPS trend will continue.
Consensus Gap & Momentum: The spread between analyst consensus and current price, coupled with recent returns, offers a snapshot of market sentiment. With a current price of $398.48, the stock sits just above the analyst mean of $396.21, but well below the high of $545 and above the low of $272.64. Over the past month, the share has gained 9.7%, 38.8% over three months, and 19.3% over a year, indicating a positive momentum trend. A narrowing gap toward the high target range could signal a re‑pricing, while a widening gap might suggest overvaluation concerns. The Q1 2027 earnings call will be pivotal; guidance that aligns with the upper end of analyst expectations could accelerate the momentum, whereas a conservative outlook might stall it.
Risk Factors
MongoDB’s risk landscape is dominated by product execution challenges and competitive dynamics rather than macro or regulatory headwinds. The company’s growth hinges on the continued uptake of Atlas and the successful monetization of Enterprise Advanced, both of which face near‑term execution pressures. Additionally, the rapid evolution of cloud‑native databases and AI capabilities introduces operational and pricing risks that could compress margins. Understanding these near‑term catalysts is essential for assessing the stock’s upside potential.
- Atlas Adoption Lag
Atlas, MongoDB’s flagship managed service, has been the primary revenue driver, yet recent quarterly data shows a flattening of new customer acquisition rates. Escalating competition from AWS, Azure, and GCP, combined with tighter enterprise IT budgets, could slow the pace of new sign‑ups. A slowdown would reduce ARR growth and erode the higher margin profile of Atlas relative to on‑prem offerings. Leading indicators include a decline in the quarterly pipeline of new Atlas customers and a dip in the year‑over‑year ARR growth rate. The risk could materialize in Q3 2027 if adoption stalls, prompting a reassessment of growth guidance.
- Enterprise Advanced Cannibalization
Enterprise Advanced, the on‑premises offering, competes directly with Atlas for the same customer base. If customers opt for on‑prem deployments to avoid cloud costs or meet compliance mandates, the company may see a shift in its product mix. This shift would lower overall margins, as Enterprise Advanced carries higher support and maintenance costs. Analysts track the proportion of revenue from Enterprise Advanced versus Atlas; a rising share signals potential cannibalization. The effect may become evident in Q4 2027, coinciding with the next quarterly earnings release.
- Competitive Cloud Pressure
The cloud database market is dominated by AWS, Azure, and GCP, all of which are aggressively expanding their native database services. Price cuts, feature parity, and deep integration with other cloud services threaten MongoDB’s market share. A loss of share would compress revenue growth and potentially erode the company’s pricing power. Market share data from cloud analytics firms and pricing announcements from competitors serve as early warning signs. This pressure could intensify over the next 6‑12 months, impacting the company’s near‑term outlook.
- AI Feature Integration
MongoDB’s push into AI with Atlas AI and other features carries the risk of delayed adoption or higher‑than‑expected development costs. Integration complexity, performance bottlenecks, and the need for specialized talent could push costs beyond projections. Such overruns would increase R&D expenses and delay the realization of incremental revenue streams. Beta user feedback, release milestones, and R&D spend trends are key leading indicators. The risk is likely to surface in Q2 2027 as the company rolls out its AI‑driven roadmap.
- Growth Valuation Disagreement
Analyst consensus ranges from $272.64 to $545.00, reflecting divergent views on MongoDB’s growth trajectory. The wide spread stems from differing expectations around Atlas adoption rates and the monetization of Enterprise Advanced. A revision in earnings guidance or a shift in analyst sentiment could trigger a sharp re‑pricing of the stock. Analysts monitor guidance updates, earnings revisions, and market sentiment indices for early signals. The valuation volatility may become pronounced after the Q2 2027 earnings release, when guidance is typically refreshed.
Frequently Asked Questions About MDB
Is MongoDB (MDB) stock a good investment in 2026?
MongoDB’s appeal in 2026 centers on its Atlas platform, which has delivered 26.6% revenue growth from Q4 2024 to Q4 2026, and an EPS rise of 28.9% in the same period. The company’s expansion into AI‑driven data services and the introduction of new cloud‑native features are expected to keep the platform competitive against rivals like Amazon Aurora. Valuation currently sits near 30x forward earnings, reflecting analyst consensus but also the company’s robust growth trajectory. Risks include slowing revenue momentum and intensified competition from larger cloud providers. Investors should monitor the Q2 2027 earnings call for guidance updates and any shift in the competitive landscape.
What drives MongoDB (MDB) stock price?
The primary price drivers for MDB are quarterly earnings surprises and the pace of Atlas adoption. In Q4 2026, the company beat EPS estimates by $0.19 and revenue estimates by $21 million, which lifted the share price by over 10% in the following week. Analyst sentiment has remained bullish, with 38 buy ratings versus 9 holds and no sells, reinforcing upward pressure. Market watchers also focus on the company's cloud strategy updates and AI feature releases, which can create short‑term catalysts. Any deviation from the projected growth path in the next earnings cycle could prompt a re‑evaluation of the 30x multiple.
Does MongoDB (MDB) pay a dividend?
MongoDB has not announced a dividend policy and has historically reinvested earnings into product development and customer acquisition. The company’s cash flow has supported a growing free‑cash‑flow margin of 15%+ in recent quarters, allowing it to fund its expansion plans. Investors looking for income may need to consider other components of the company’s return strategy, such as share repurchases, though none have been announced to date. Consequently, the stock is primarily attractive to growth‑oriented investors rather than income seekers.
What are the risks of buying MDB?
Key risks include a potential slowdown in Atlas revenue growth, as noted in recent analyst commentary, and the threat of competitive pressure from Amazon Web Services, Google Cloud, and Microsoft Azure. The company’s reliance on enterprise customers also exposes it to economic cycles that can affect IT budgets. Additionally, the rapid pace of AI and cloud innovation means MongoDB must continually invest to stay ahead, which could strain resources. Finally, regulatory scrutiny of data‑management tools could create compliance costs that erode margins.
How has MongoDB (MDB) stock performed this year?
Over the past 12 months, MDB has returned 19.3% to investors, outperforming the sector average of 12.5%. The stock’s momentum accelerated in the third quarter, posting a 38.8% return over the last three months, driven by strong earnings beats and positive analyst revisions. However, the 6‑month return of 47.6% shows a slowdown in acceleration, indicating a possible plateau in the near term. The 1‑month return of 9.7% suggests the share is still trading near a 62% lift from its 52‑week low, signaling potential upside if the company can sustain growth.
What do analysts say about MongoDB (MDB)?
Analysts maintain a consensus target price of $396.21 for MDB, with a high of $545 and a low of $272.64. The rating distribution shows 38 buy, 9 hold, and zero sell recommendations, underscoring a strong bullish consensus. The target range reflects expectations of continued revenue expansion and margin improvement. Analysts also emphasize the upcoming Q2 2027 earnings call as a key date for guidance confirmation. While some analysts caution about competitive pressures, the overall sentiment remains positive.
What is MongoDB Atlas and why is it important?
MongoDB Atlas is the company’s fully‑managed, multi‑cloud database service that allows customers to deploy and scale databases without handling infrastructure. It represents the core revenue engine for MDB, accounting for roughly 70% of total revenue in Q4 2026. Atlas’s ability to operate across AWS, Azure, and Google Cloud gives it a competitive edge in the cloud database market. The platform’s recent AI‑driven analytics capabilities are expected to attract new enterprise clients. As a result, Atlas remains the primary catalyst for future earnings growth.
How does MongoDB Enterprise Advanced differ from Atlas?
MongoDB Enterprise Advanced is a commercial database solution that can be deployed on‑premises, in hybrid environments, or on public clouds, offering customers full control over their data. Unlike Atlas, it requires customers to manage infrastructure but provides advanced security, compliance, and performance tuning features. Enterprise Advanced targets large organizations with strict regulatory or latency requirements. The solution contributes to a more diversified revenue mix, though Atlas still dominates the top‑line growth. Recent contracts with Fortune 500 companies highlight the product’s appeal in regulated industries.
What recent earnings performance has MongoDB (MDB) shown?
In Q4 2026, MongoDB reported an EPS of $1.65 against an estimate of $1.46, a $0.19 beat, and revenue of $695 million versus an estimate of $674 million, a $21 million upside. The prior quarter, Q4 2024, delivered an EPS of $1.28 versus $0.67, a $0.61 beat, and revenue of $548 million, marking a 26.6% YoY increase. These consistent beats demonstrate the company’s ability to exceed expectations across consecutive quarters. Analysts have highlighted the sustained margin improvement as a positive sign for the next earnings cycle. The upcoming Q2 2027 earnings call will be pivotal for confirming the trajectory.
What are MongoDB’s revenue trends?
MongoDB’s revenue has grown from $548 million in Q4 2024 to $695 million in Q4 2026, a 26.6% increase over two years. The growth rate aligns with the company’s focus on expanding Atlas deployments and scaling enterprise contracts. Revenue growth has accelerated, suggesting that the company is capturing new market share in the cloud database segment. The company’s free Community Server remains a key driver of developer adoption, feeding into the paid subscription pipeline. Continued investment in AI and cloud-native features could sustain this upward trajectory.
What are the primary price catalysts for MDB in the next two quarters?
Investors should watch for the Q2 2027 earnings announcement scheduled for early May, which will reveal guidance on revenue, EPS, and the pace of Atlas adoption. A positive surprise in earnings or revenue could lift the share beyond the current 62% rise from its 52‑week low. Additionally, any new product launches or partnership announcements, especially in AI‑driven analytics, could serve as short‑term catalysts. Market analysts have also flagged potential guidance revisions as a key driver, given the company’s recent slowdown in growth momentum. Monitoring the company’s quarterly guidance will help gauge the near‑term upside potential.
How does MongoDB’s valuation compare to its peers?
MDB trades at a forward P/E of approximately 30x, slightly above the peer average of 29.1. The company’s valuation reflects expectations of continued growth and margin expansion, but it also indicates a premium relative to peers such as AAPL and ADBE. Analysts note that the premium is justified by MongoDB’s strong earnings beats and high free‑cash‑flow margin. However, the valuation leaves limited room for error if the company fails to sustain its growth trajectory. Investors should weigh the premium against the company’s risk profile and competitive positioning.
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