Revenue Growth Hits Multi-Year High and Full-Year Guidance Raised, but MongoDB (MDB.US) Plunges 14% After Hours: Atlas Growth Misses "Invisible Expectations," Triggering Profit-Taking

According to The Smart Investor APP, after the U.S. stock market closed on Tuesday, document database company MongoDB (MDB.US) announced its financial results for the second quarter of fiscal year 2027 ending on July 31. Despite recording its highest revenue growth in years and raising its full-year guidance, MongoDB’s share price plunged sharply in after-hours trading. The decline was mainly due to Atlas cloud database business growth failing to meet some investors’ higher expectations, coupled with a substantial increase in the stock price over the past month, leaving little room for market error.

The financial report shows MongoDB's second-quarter revenue grew by 30% year-on-year to $771.8 million, exceeding analyst expectations of $735 million and marking the highest quarterly revenue growth since the 2024 fiscal year.

In terms of profitability, MongoDB’s non-GAAP operating profit for the second quarter was $186 million, representing an operating margin of 24%, compared to only 15% in the same period last year. Non-GAAP net profit was $163 million, or $1.90 per diluted share, far exceeding the $87 million and $1.00 per share last year as well as the market expectation of $1.62 per share.

Cash flow performance was similarly strong. During the second quarter, MongoDB achieved operating cash flow of $142 million and free cash flow of $138 million, nearly doubling compared to the same period last year. By the end of the quarter, the company held $2.4 billion in cash, cash equivalents, and short-term investments.

In terms of customer metrics, MongoDB ended the second quarter with a total of 70,600 customers—a net increase of 2,900 in a single quarter, a record high. Customers with annual recurring revenue (ARR) of at least $100,000 nearly reached 3,000, up 17% year-on-year. The company’s overall net ARR expansion rate rose to 122%, higher than 119% in the same period last year and 121% in the previous quarter.

Among high-value Atlas customers, the proportion using two or more platform features increased from 42% to 48% compared to the same period last year, mainly driven by the adoption of vector search and text search functions.

Atlas and Enterprise Advanced: Dual Engines Accelerate Growth

As MongoDB’s most crucial cloud database product, Atlas' revenue grew by about 29% year-on-year in the second quarter, maintaining this growth rate for the fifth consecutive quarter. Atlas delivered a record incremental year-on-year revenue of $127 million this quarter, exceeding its internal guidance by approximately 300 basis points. Chief Financial Officer Mike Berry stated that Atlas’s growth was primarily driven by large North American enterprise customers, especially those with annual ARR over $100,000.

Atlas currently accounts for about 74% of total revenue, and the company expects this proportion to continue rising. On the earnings call, Berry said: “Looking ahead, we continue to expect robust growth from large enterprise customers, especially U.S. clients.” He added that AI-related demand remains a small contribution at present but shows encouraging momentum.

Enterprise Advanced and other business revenues increased by 36% year-on-year in the second quarter, marking the strongest quarterly performance in the past three years. Based on ARR, Enterprise Advanced and other business ARR grew about 11% year-on-year. MongoDB emphasized that the growth of Enterprise Advanced was not at the expense of Atlas, but rather viewed as an “and, not an or” deployment strategy. Some customers use both products to meet needs such as hybrid cloud, regulatory compliance, and operational resilience.

For example, MongoDB highlighted a large U.S. bank that uses Enterprise Advanced in over 100 production applications and has expanded into generative AI and semantic search scenarios. Additionally, UK insurance company Nationwide uses both Enterprise Advanced and Atlas for its speed-layer applications, handling over 24 million application logins per week.

AI Business Progress: Adoption Grows, Revenue Contribution Remains Modest

Although AI is not yet a major revenue source, MongoDB’s management highlighted progress in AI-related product adoption during the earnings call. Atlas Vector Search and Voyage AI embeddings and reranking models continue to gain customer adoption. The number of Voyage customers nearly doubled quarter-on-quarter for the second consecutive quarter, with most new Voyage customers previously having no business ties with MongoDB.

Code agents have become an important referral source for Voyage. President and CEO CJ Desai noted that code agents like Claude from Anthropic and OpenAI’s Codex are bringing significant referral traffic to Voyage. MongoDB has also launched a managed model context protocol server, enabling developers and AI agents to connect to MongoDB via tools such as Claude Code, Codex, Grok Build, Cursor, and Devin.

In terms of AI customer cases, the Financial Times in the UK uses Atlas Vector Search and Voyage models to power AI-driven content discovery, processing over 100,000 queries per day, reducing retrieval costs, and shortening the manual index monitoring workflow from several weeks to a single day. AI meeting assistant platform Fireflies chose Atlas from its inception and now runs more than 40 microservices on the platform. Legal tech company Eve leverages MongoDB’s embedding and reranking capabilities to retrieve evidence from case files and support its AI products.

Desai pointed out that the most favored AI application scenarios are currently customer-facing, production-grade, large-scale applications rather than smaller-scale internal smart assistants. Examples include semantic search and chatbots used by wealth advisors, as well as employee knowledge retrieval use cases.

Raised Full-Year Guidance: Revenue, Profit, and Atlas Growth Upgraded Across the Board

Looking ahead, MongoDB raised its full-year guidance for the 2027 fiscal year. The company raised its full-year revenue guidance from the previous $2.92 billion–$2.96 billion to $2.99 billion–$3.03 billion, with the mid-point of $3.01 billion above analyst consensus of $2.96 billion. The full-year adjusted earnings per share guidance was also raised from $5.95–$6.14 previously to $6.39–$6.58, with the midpoint of $6.485 ahead of the market consensus of $6.13.

The company expects full-year fiscal 2027 revenue to grow 21%–23%. Of this, Atlas revenue is expected to increase about 27% for the year, 300 basis points above its previous outlook; Enterprise Advanced and other revenue is expected to grow about 11%, higher than the previously projected mid-single-digit growth. In terms of operating margin, the company expects an expansion of about 250 basis points for the whole year, while continuing to ramp up investment in AI, product development, market expansion capabilities, and developer ecosystem construction.

For the third fiscal quarter, MongoDB expects revenue of $756 million–$761 million, up 20%–21% year-on-year; non-GAAP operating profit of $152 million–$156 million; and adjusted earnings per share of $1.57–$1.61.

Despite both second-quarter results and full-year guidance exceeding market consensus, MongoDB’s stock price reaction was notably negative. During Tuesday’s regular trading session, the stock fell 4.2% to close at $434.21, and sank over 14% in after-hours trading.

In August, MongoDB shares rose by approximately 34%, and the sharp increase had pushed expectations for the earnings report to extremely high levels.

Jordan Klein, an analyst at Mizuho Securities, said in a report released earlier that large hedge funds had privately expected Atlas revenue growth to reach 30.5%–31%, but the actual growth rate, at about 29%, fell below these more optimistic forecasts. Klein wrote that after the recent share price surge, the stock has “very little room for error.”