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MongoDB (MDB) Q4 FY26 earnings call: guidance and Q&A

Earnings call· Jan 2026 (Q4 FY26)· Information Technology· Mar 2, 2026

Source: earnings call transcript

Executive summary

MongoDB Q4 FY26 — Strong Growth Across Atlas and Non-Atlas, Exceeding Guidance

MongoDB delivered a strong Q4 FY26, exceeding revenue and operating margin guidance, driven by robust Atlas and non-Atlas growth. The company is strategically investing in AI capabilities and Enterprise Advanced, while navigating leadership transitions in its go-to-market team. Management remains committed to long-term growth and profitability, focusing on expanding its platform for AI and multi-cloud environments.

Highlights

5
  • Total revenue reached $695 million, up 27% year-over-year, beating the high end of guidance by 4%.

  • Atlas revenue grew 29% year-over-year, crossing the $2 billion run rate for the first time.

  • Non-Atlas revenue grew 20% year-over-year, marking its best growth quarter in the last 2 years.

  • Non-GAAP operating margin was 23%, more than 100 basis points above the high end of guidance.

  • The total company net ARR expansion rate increased to 121% in Q4, up from 120% last quarter and 119% a year ago.

Concerns

3
  • The President of Field Operations and Chief Revenue Officer are departing, necessitating a leadership transition and search for a new CRO.

  • Atlas growth was impacted by a large bundled deal, which attributed more revenue to Enterprise Advanced (EA), reducing Atlas growth by approximately 1% (from 30% to 29%).

  • Non-Atlas growth guidance for FY27 is set at low to mid-single-digit, reflecting the inherent difficulty in forecasting large multi-year deals.

Guidance & targets

CategoryTargetConfidence
Q1 FY27 Revenue
$659 million to $664 million
high materiality
High
Q1 FY27 Non-GAAP Income from Operations
$105 million to $109 million
medium materiality
High
Q1 FY27 Non-GAAP Net Income per Share
$1.15 to $1.19
high materiality
High
Full-year FY27 Revenue
$2.86 billion to $2.9 billion
high materiality
High
Full-year FY27 Non-GAAP Income from Operations
$545 million to $565 million
high materiality
High
Full-year FY27 Non-GAAP Net Income per Share
$5.75 to $5.93
high materiality
High
Full-year FY27 Atlas Revenue Growth
approximately 21% to 23%
high materiality
Medium
Q1 FY27 Atlas Revenue Growth
approximately 26%
medium materiality
High
Full-year FY27 Non-Atlas Revenue Growth
low to mid-single-digit growth
medium materiality
Medium
Q1 FY27 Non-Atlas Revenue Growth
mid- to upper single-digit growth
medium materiality
Medium
FY27 Operating Margin Expansion
100 basis points
high materiality
High
FY27 Cash Conversion
80% to 100%
medium materiality
High
FY27 Free Cash Flow Commitment
100% of free cash flow
medium materiality
High
Long-term Atlas Growth
greater than 20%
high materiality
High
Long-term Rule of 40
Rule of 40 company
high materiality
High
Long-term Total Revenue Growth
high teens
high materiality
High

Segment performance

SegmentRevenueYoYQoQMargin
Atlas
Atlas growth was driven by continued strength with largest customers in North America and Europe, reflecting its growing strategic importance. Would have been approximately 30% growth without the impact of a large bundled deal attributing more revenue to EA.
Percent of total revenue: 72%
—29%——
Non-Atlas
Best growth quarter in the last 2 years, driven by strength with financial services, public sector, and technology customers choosing MongoDB for mission-critical applications.
—20%——

MDB operating KPIs by quarter

MDB operating KPIs stated on its earnings calls, by fiscal quarter
KPI Jan 2025 Q4 FY25 Jul 2025 Q2 FY26 Oct 2025 Q3 FY26This call Jan 2026 Q4 FY26 Apr 2026 Q1 FY27 Jul 2026 Q2 FY27Change vs prior quarter
Customers
54.5K+ We ended the quarter with over 54,500 customers. Source: earnings call transcript
59.9K+ We delivered non-GAAP operating income of $87 million for a 15% non-GAAP operating margin, and we ended the quarter with over 59,900 customers. Source: earnings call transcript
62.5K+ We ended the quarter with over 62,500 customers adding 2,600 in the quarter and 8,000 year-to-date, reflecting 65% growth in customer additions on a year-to-date basis driven by the strong performance of our self-serve motion. Source: earnings call transcript
65.2K+ We ended the quarter with over 65,200 customers adding 2,700 customers in Q4, growing both year-over-year and quarter-over-quarter. Source: earnings call transcript
67.7K+ We ended the quarter with over 67,700 customers, adding 2,500 customers in Q1, growing year-over-year and quarter-over-quarter. Source: earnings call transcript
70.6K We ended the quarter with 70,600 customers, adding a record 2,900 net new customers in the period. Source: earnings call transcript
—
Customers Direct sales
7,500+ Of our total customer count, over 7,500 are direct sales customers, which compares to over 7,000 in the year ago period. Source: earnings call transcript
7,300+ Of our total customer count, over 7,300 are direct sales customers, a decline of 200 customers sequentially and flat year-over-year. Source: earnings call transcript
—————
Customers Atlas
53.1K+ The growth in our total customer count is being driven primarily by Atlas, which had over 53,100 customers at the end of the quarter compared to over 46,300 in the year ago period. Source: earnings call transcript
58.3K+ The growth in our total customer count is being driven primarily by Atlas, which had over 58,300 customers at the end of the quarter compared to over 49,200 in the year ago period. Source: earnings call transcript
60.8K+ The growth in our total customer count is being driven primarily by Atlas which had over 60,800 customers at the end of the third quarter compared to over 51,100 in the year ago period. Source: earnings call transcript
—
66.4K The growth in our total customer count is being driven primarily by Atlas, which had 66,400 customers at the end of the first quarter compared to 55,800 in the year ago period. Source: earnings call transcript
69.3K Growth continues to be driven primarily by Atlas, which had 69,300 customers at the end of the second quarter compared to 58,500 in the year ago period. Source: earnings call transcript
+4.4%
Customers above an annual spend threshold ARR and annualized MRR at least $100,000
2,396 We ended the quarter with 2,396 customers with at least $100,000 in ARR and annualized MRR, up from 2,052 in the year ago period. Source: earnings call transcript
2,564 We ended the quarter with 2,564 customers with at least $100,000 in ARR, representing 17% growth versus the year ago period. Source: earnings call transcript
2,694 We ended the quarter with 2,694 customers with at least $100,000 in ARR, representing 16% growth versus the year ago period. Source: earnings call transcript
2,799 We ended the quarter with 2,799 customers with at least $100,000 in ARR and 402 customers with at least $1 million in ARR representing 17% and 26% year-over-year growth, respectively. Source: earnings call transcript
2,895 We closed out Q1 with 2,895 customers with at least $100,000 in ARR, representing 16% year-over-year growth. Source: earnings call transcript
<3,000 We ended the quarter with nearly 3,000 customers with at least $100,000 in ARR representing 17% year-over-year growth. Source: earnings call transcript
—
Remaining performance obligation (RPO) ———
$1.47B You can see the strength in the growth of deferred revenue as well as the growth in RPO, which grew from $748 million at the end of fiscal '25 to $1.47 billion at the end of fiscal '26, a year-over-year growth of 97%. Source: earnings call transcript
$1.46B Our remaining performance obligations, which we define specifically as obligations for contracts with a duration greater than 12 months stayed relatively consistent quarter-over-quarter and ended the period at $1.46 billion. Source: earnings call transcript
$1.52B Our remaining performance obligations, which we define as obligations for contracts with a duration greater than 12 months ended the quarter at $1.52 billion, representing year-over-year growth of 91% with the current portion growing 73%. Source: earnings call transcript
+4.1%

Operating figures the company stated on at least two of the calls shown, checked against each call's transcript. Click a figure to read the sentence. A dash means it was not stated that quarter.

Orderbook & backlog

Remaining Performance Obligations (RPO) $1.47 billion end of fiscal '26

97% year-over-year growth

Grew from $748 million at the end of fiscal '25.

Deals & partnerships

large tech company customer contract approximately $90 million

Plans to expand both core and AI workloads on Atlas.

large financial institution customer contract greater than $100 million

For Enterprise Advanced (EA), representing the largest TCV deal in MongoDB's history.

Adobe strategic partnership long-term commitment

MongoDB underpins a range of Adobe's key initiatives, including Agentic experiences powered by Atlas Vector Search and soon Voyage embeddings. Adobe leverages Atlas for large fleets and always-on database deployments, and partners for self-managed business-critical workloads on EA.

Axon Networks customer contract

Selected EA as the foundation for its Operator as a Service platform, delivering a real-time digital twin and API-first architecture for massive data peaks and high-volume time series workloads. EA provides flexibility across hyperscalers and bare metal, with enterprise-grade security for Axon's AI-first autonomous networking platform.

Risks & headwinds

Departure of President of Field Operations and Chief Revenue Officer Q1 and Q2 FY27

Leadership transition

Mitigation:Planned transition; Erica Volini appointed Chief Customer Officer; Paul Capombassis to remain CRO through Q1 and advisor through Q2; deep bench of go-to-market talent; search for new CRO underway.

Limited visibility for Atlas consumption business in the back half of the fiscal year H2 FY27

Consumption business visibility

Mitigation:Acknowledged as inherent to consumption model; company is getting better at forecasting Atlas; Atlas growth expected to be 21-23% for FY27.

Difficulty in predicting multi-year EA deals FY27

Forecasting variability

Mitigation:Guidance includes only closed deals or those with high probability to limit negative surprises; company hopes to outperform but maintains conservative forecast.

AI not yet a material driver to overall results Current

AI revenue contribution not material

Mitigation:Encouraged by growth in customers leveraging AI capabilities (Vector Search, Voyage embeddings); many AI native customers are early in their MongoDB journey; continued investment in AI capabilities.

Q&A highlights

What were CJ's impressions of developer buy-in at the January San Francisco event, especially regarding increasing mindshare?

CJ noted the event was a great success, exceeding expectations with a long line of attendees. Approximately 70% of attendees were new to MongoDB, indicating increased mindshare among builders, particularly AI native companies. Due to its success, another DotLocal event is planned for August.

“Here, around 70% had not used MongoDB. And that's what gave me a lot of conviction that it was a successful event where we are increasing the mindshare of the builders in the San Francisco Bay area where a lot of AI native companies are being built.”

asked by Raimo Lenschow · answered by Chirantan Desai

2 min read 6 chapters

Detailed narrative

CEO's First Quarter Observations

CJ Desai, in his first full quarter, engaged with over 200 customers globally, spanning AI natives to Fortune 500 enterprises. His key takeaway is that MongoDB's foundation is robust, positioning it as a generational data platform for the AI and multi-cloud era. Customers are leveraging the platform for high-performing, dynamically scaling solutions, multi-cloud resiliency, and integrated AI features like search, vector search, and embeddings.

Strategic Importance of Enterprise Advanced (EA)

The company noted a renewed importance of on-premises deployment, particularly in regulated industries such as financial services, telecommunications, and government. These customers view EA as mission-critical for operational resilience and for data that will not migrate to the public cloud. MongoDB is actively investing in EA to achieve feature parity with Atlas, reinforcing its commitment to supporting hybrid infrastructure needs for its largest customers.

AI Native Customer Momentum

MongoDB is driving innovation at AI-native companies like Emergent Labs and 11 Labs. Emergent Labs selected Atlas over PostgreSQL to power AI agents for building production-ready applications, handling massive codebases. 11 Labs utilizes Atlas Search and Vector Search for long-term memory and knowledge bases for autonomous agents, enabling personalized interactions at global scale. This highlights MongoDB's architectural suitability for evolving AI use cases.

Go-to-Market Leadership Transition

MongoDB announced a planned transition in its go-to-market leadership, with Cedric Pech (President of Field Operations) and Paul Capombassis (Chief Revenue Officer) departing. Erica Volini joins as Chief Customer Officer, focusing on accelerating partner growth, deepening enterprise footprint, and enhancing customer experience. The search for a new CRO is in its final stages, with a focus on candidates experienced in high-end enterprise and consumption-based models.

Platform Strategy and Customer Expansion

MongoDB is increasingly recognized as an architectural foundation for frontier model companies and leading digital natives. The platform's flexibility, performance, scale, multi-cloud capability, and integrated AI functionality resonate with customers. Adobe, for example, expanded its strategic partnership, leveraging Atlas for AI-driven innovation with Vector Search and future embeddings, while also using EA for self-managed business-critical workloads, demonstrating seamless operation across cloud and on-prem environments.

Developer Mindshare and Agentic Workflows

The company successfully hosted a "DotLocal" event in San Francisco, attracting a significant number of non-MongoDB users, indicating increased mindshare among builders, especially in the AI native space. Management aims to make MongoDB equally appealing to AI agents as it is to human developers, focusing on machine-friendly APIs and autonomous scaling capabilities for future releases, with further innovations to be announced throughout the year.

Summary of the company's earnings call; see how call summaries are prepared. Not investment advice.