MongoDB shares jumped 15% in after‑hours trading on Monday after the company reported a third‑quarter fiscal 2026 earnings beat and delivered an upbeat outlook.
The database‑software vendor posted revenue of $628 million, up 19% year‑over‑year and well above the $592 million consensus estimate from LSEG analysts.
Adjusted earnings came in at $1.32 per share, comfortably topping the Street’s $0.80 consensus.
Chief Executive Officer Chirantan “CJ” Desai told CNBC that the firm saw “significant growth” in its large‑enterprise segment during the quarter, driven by expanding demand across the Americas, Europe, the Middle East and Africa.
Desai added, “Our self‑service business delivered exceptional results. We have many customers—including digital natives, AI‑first developers, and traditional enterprises—building on MongoDB.”
Desai took over from long‑time CEO Dev Ittycheria in November after Ittycheria’s 11‑year tenure.
MongoDB reported a net loss of $2.01 million for the quarter, or $0.02 per share, an improvement from a $9.78 million loss ($0.13 per share) a year earlier. Adjusted results excluded stock‑based compensation, amortization of intangible assets and income‑tax expenses.
Looking ahead, the company projects fourth‑quarter revenue between $665 million and $670 million.
Full‑year 2026 guidance was raised to a range of $2.434 billion to $2.439 billion, up from the prior $2.34 billion‑$2.36 billion outlook. FactSet analysts had been expecting about $2.36 billion, indicating that MongoDB is now positioned ahead of consensus.
Strategic implications
MongoDB’s strong top‑line growth underscores the accelerating migration of mission‑critical workloads to modern, document‑oriented databases. The company’s “self‑service” model, which blends a cloud‑native Atlas platform with a robust developer ecosystem, is resonating with both startups and large enterprises seeking agile data architectures that can support AI and real‑time analytics.
From a technology standpoint, MongoDB’s recent investments in native vector search capabilities and tighter integration with generative‑AI frameworks position it as a viable alternative to legacy relational databases for emerging workloads such as recommendation engines and knowledge‑graph applications. This aligns with the broader industry trend where AI‑driven data pipelines are demanding flexible schema designs and low‑latency query performance.
Financially, the narrowing of net losses reflects a disciplined approach to scaling while controlling operating expenses. The improvement in adjusted earnings per share suggests that the company’s subscription‑based revenue model is maturing, providing higher-margin recurring revenue that can support continued R&D spend.
Competitive pressure remains intense, with cloud giants like Amazon (DocumentDB), Google (Firestore) and Microsoft (Cosmos DB) expanding their offerings. However, MongoDB’s open‑source heritage and strong developer community give it a differentiated moat that is difficult for pure‑play cloud services to replicate.
Analysts will be watching whether the company can sustain its enterprise win‑rate as large organizations increasingly demand multi‑cloud flexibility and tighter security controls—areas where MongoDB has recently rolled out new compliance and governance features.
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