MongoDB (MDB) delivered solid second-quarter fiscal 2026 financial results last night, reflecting that its AI-powered database platform is resonating well with enterprises. MDB’s management raised its full-year outlook, signaling confidence that growth momentum will continue. Investors cheered the news, sending the stock soaring more than 30% in after-hours trading.
This marks a sharp reversal in sentiment for MongoDB stock. Until yesterday, MDB had been lagging the broader market, with shares in the red for the year. However, the latest quarterly numbers suggest that the company has sufficient firepower to capitalize on the growth of generative AI workloads and applications in the long run, indicating that the post-earnings jump could be the beginning of a long-term rally.
MongoDB’s Q2 numbers indicate that its business is performing well. Revenue jumped 24% year over year to $591.4 million in Q2, while adjusted operating income came in at $87 million, giving MongoDB a healthy 15% operating margin, up from about 11% in the prior year. MDB ended the quarter with 59,900 customers, up from 50,700 in the prior-year period, a reflection of the growing adoption of its database platform among enterprises.
Powering its growth is Atlas, its multi-cloud database platform. Atlas now contributes 74% of the company’s total revenue. Growth here accelerated to 29% year-over-year, up from 26% in the prior quarter, showing that demand is strengthening. In Q2, Atlas consumption growth held steady with last year’s strong pace, reflecting durable demand.
Customer growth was equally impressive. Over the last two quarters alone, MongoDB added more than 5,000 new customers, including 2,800 in Q2, bolstered by its recent Voyage AI acquisition. Atlas customers now number 58,300, compared to 49,200 a year ago.
Notably, many of MongoDB’s new customers are building AI-powered applications, and Atlas is increasingly viewed as an essential piece of the AI infrastructure stack. Its flexible document model, ability to scale across cloud providers, and newer capabilities such as vector search position it as a natural fit for its customers.