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MongoDB names Richard Scott Head of Asia Pacific and Japan as enterprises move AI from pilot to production. Former Salesforce, Microsoft, and SAP leader joins as Senior Vice President to accelerate growth and adoption in the region. MongoDB, Inc. today announced that Richard Scott has joined the company as Senior Vice President, Asia Pacific and Japan (APJ). Based in Sydney, Scott will lead MongoDB's regional strategy as organisations move AI from pilot projects into production at scale. MongoDB's intelligent data platform is trusted by leading companies across the region - including enterprise leaders like LGU+, Cathay Pacific, Samsung, and Woolworths - as well as fast-growing and AI-native companies like Heidi, Zomato, Canva, Grab, and Emergent. With thousands of customers and more than 1,200 employees in APJ, MongoDB is investing heavily throughout the region. In May the company opened a new office in Kuala Lumpur and will be opening a new Tokyo office in September, with increased investment in Japan in the coming months. Large engineering teams in India and Australia continue to expand, and in June MongoDB for Academia announced it will upskill 2 million developers in India by 2030 with vital data and AI skills. Scott will focus on accelerating the company's growth and adoption across the region. MongoDB helps customers move AI into production by bringing real-time data, vector search, hybrid search and AI capabilities like Voyage AI embeddings and reranking together on one platform. This means enterprises and builders can speed up innovation, reduce complexity, and improve accuracy for their AI applications. Scott is a senior technology executive with more than 25 years of experience helping organisations transform. Prior to joining MongoDB, Scott was the Senior Vice President for APJ at Salesforce. He has also held senior leadership roles at Informatica, Microsoft, SAP and IBM. "Richard joins at a pivotal moment. Our customers across the region - from Sydney to Seoul to Mumbai - are moving past experimenting with AI, and are looking to us to help them run AI in production," said MongoDB Chief Revenue Officer Ryan Mac Ban. "His 25 years building enterprise businesses in Asia Pacific, combined with his strategic vision and customer-first mindset, gives him the experience and credibility to accelerate that transition." "Solving the data layer is going to be the defining technology question for organisations in the AI era," said Richard Scott, Senior Vice President, MongoDB APJ. "MongoDB is already loved by developers and trusted by market leaders but we are still only at the beginning of a massive shift in how technology is built and used. My focus is to align our partners, community, and regional teams to help customers modernise and deploy AI applications with speed and confidence."

MongoDB reports Q2 earnings today with 24% revenue growth expected. Published on 1 September 2026 at 4:27 pm - Written by Chris Martin - Reading duration: 2 minutes · read 12 times MongoDB reports its second quarter fiscal 2027 earnings today after market close, with analysts expecting the database platform company to deliver 24% year-over-year revenue growth, continuing its acceleration in the cloud and AI markets. The market consensus is for MongoDB to report quarterly revenue of approximately $733 million to $735 million, according to Zacks and Seeking Alpha, with earnings per share of $1.60 to $1.61. The earnings call is scheduled for 5:00 PM Eastern Time, and investors will be watching closely for signs of sustained momentum in the company's Atlas cloud platform and its positioning around artificial intelligence applications. MongoDB's Atlas platform, which accounts for roughly 74% of the company's total revenue, has emerged as the primary growth engine. In the first quarter of fiscal 2027 reported in May, MongoDB delivered 25% total revenue growth with Atlas revenue accelerating to 29% year-over-year, demonstrating the cloud database's appeal to developers building AI-powered applications. The platform's consumption-based pricing model means revenue scales directly with customer usage, making it sensitive to both new customer acquisition and deeper adoption within existing accounts. MongoDB's full-year fiscal 2027 guidance, raised in May to $2.92 billion to $2.96 billion in revenue, signals management confidence in sustained growth. That guidance implies approximately 24% year-over-year expansion for the full year, in line with what analysts are modeling for the current quarter. The company is also expected to continue its path toward profitability, with adjusted operating margins expanding as revenue growth accelerates. The database market itself is undergoing significant shifts as enterprises modernize their data infrastructure for AI workloads. MongoDB has positioned Atlas as an AI-ready platform, and the company acquired Voyage AI in 2025 to strengthen its vector search and embedding capabilities - key technologies for generative AI applications. The global cloud database market is projected to grow from $28.78 billion in 2026 to $120.22 billion by 2034, according to Fortune Business Insights, creating a substantial long-term opportunity. However, MongoDB faces headwinds. In March, the company guided for Atlas revenue growth to decelerate to 21% to 23% in fiscal 2027 overall, down from the 29% growth in the recent quarter, suggesting some normalization as the company matures. Additionally, software stocks have faced broader pressure in 2026, and investors will scrutinize management's commentary on customer spending patterns and pipeline strength to assess whether growth can remain resilient. Analysts have generally reconfirmed their estimates ahead of today's report, according to Dealroom. Dell's recent earnings beat on AI server demand has underscored how technology spending is concentrating around AI infrastructure, a category where MongoDB competes for the data layer. The company's ability to capture share in this secular shift will be central to its investor narrative going forward. Sources. * Zacks Investment Research - earnings date, EPS and revenue consensus estimates * Seeking Alpha - revenue growth expectations and analyst estimates * MongoDB Investor Relations - earnings call schedule and prior guidance * PRNewswire - Q2 FY2026 results showing Atlas revenue share and growth * Fortune Business Insights - cloud database market size projections * Dealroom - analyst estimate confirmations * Yahoo Finance - revenue growth consensus Give your feedback. Chris Martin is a US economics and current affairs journalist covering the intersection of policy, markets, and everyday financial life. With a background in financial reporting and a sharp eye for the stories behind the numbers, Chris brings clarity to some of the most complex issues shaping the American economy today. At ECIKS.org, Chris covers breaking developments across domestic economic policy, business strategy, Wall Street movements, and political decisions that ripple through financial markets. His reporting blends rigorous data analysis with accessible storytelling making critical information useful for investors, entrepreneurs, and engaged citizens alike. ECIKS.org is an independent media. Support ECIKS by adding ECIKS to your Google News favorites:

MongoDB (MDB) stock: investor expectations ahead of Tuesday's Q2 report. Key takeaways. Table of Contents * MongoDB is scheduled to announce fiscal Q2 2027 results after Tuesday's closing bell, with Wall Street projecting earnings per share of $1.61 alongside revenue totaling $735.2 million. * Shares have climbed 34% in the last 30 days, reaching $453.37 and approaching the 52-week peak of $473.10. * The company's Atlas cloud database platform represents between 72% and 79% of overall revenue, making it the critical performance indicator. * Wall Street consensus maintains a Buy rating with an average price target of $446.26, now marginally below the current trading price. * Recent analyst upgrades include Cantor Fitzgerald's $540 target and Guggenheim's $560 target, driven by favorable channel feedback. MongoDB is set to unveil its fiscal second quarter 2027 financial performance following Tuesday's market close. Wall Street forecasts call for earnings of $1.61 per share on top-line revenue reaching $735.2 million. These projections indicate a sequential jump of 22% in earnings per share and 7% revenue expansion compared to the previous quarter, during which MongoDB exceeded bottom-line projections by approximately 11%. On a year-over-year basis, the anticipated figures reflect 61% earnings growth and 24% revenue advancement. Shares of MDB currently trade at $453.37, representing a 34% gain throughout the past month and hovering near the 52-week maximum of $473.10. The average analyst price objective stands at $446.26, derived from 41 individual estimates, suggesting shares are now marginally overvalued relative to Wall Street's consensus view. Rating distribution includes: 32 Buy recommendations, eight Hold positions, and a single Sell rating. Atlas performance remains central to investment thesis. Market attention will concentrate on Atlas, MongoDB's fully-managed cloud database offering. This service generates between 72% and 79% of aggregate revenue and serves as the primary catalyst behind the company's expansion trajectory. Company leadership previously guided toward 26% Atlas expansion for the current quarter. Analyst consensus generally anticipates outperformance by two to three percentage points, aligning with historical patterns. Should Atlas growth approach the 29%-30% territory observed in earlier quarters, shares will likely experience upward momentum. Conversely, results tracking closer to the low-20% range projected for the fiscal year's latter half could trigger selling pressure. During the previous reporting period, MongoDB secured 96 additional enterprise clients with annual spending exceeding $100,000, elevating that cohort to 2,895 total. Investors seek confirmation that this metric continues its upward trajectory. Artificial intelligence workload adoption under scrutiny. The secondary focal point entering Tuesday's announcement centers on artificial intelligence initiatives. MongoDB has developed Vector Search capabilities, integrated Voyage AI-powered retrieval systems, and embedded native AI agent functionality throughout its platform. Analysts are looking for concrete evidence that these capabilities are transitioning from experimental implementations into revenue-generating production environments. Management commentary regarding AI-focused customer expansion and enterprise deployment will receive significant attention. Across the broader data management and analytics software category, investor sentiment has trended positively. Comparable companies have advanced approximately 14.2% on average over the trailing month, with MongoDB exceeding that benchmark at 24.8%. For context, DigitalOcean delivered 28.6% year-over-year revenue growth in its recent quarter, surpassing expectations by 0.9%, while Commvault achieved 11.4% growth, beating by 1.2%. Both experienced post-earnings declines despite exceeding estimates. Forward guidance for the fiscal year's second half represents another critical component of Tuesday's market reaction. Cantor Fitzgerald elevated its price objective to $540 and Guggenheim increased its target to $560, though concerns persist regarding potential Atlas deceleration to 21%-23% during the upcoming quarters. Should management elevate second-half Atlas projections above 25%, shares could extend recent gains. Conversely, unchanged or disappointing guidance may trigger a rapid reversal of the recent rally. In the first fiscal quarter, MongoDB delivered EPS of $1.32 compared to the $1.19 consensus, accompanied by revenue of $687.6 million, exceeding forecasts by 3.6%. The company elevated its full-year Atlas growth guidance by 200 basis points during that announcement. EPS projections have remained unchanged over the past week but have experienced modest downward revision over the trailing 60-day period. Revenue estimates have demonstrated stability across both timeframes. Limited Time Offer Get 3 free stock ebooks. Discover top-performing stocks in AI, Crypto, and Technology with expert analysis. * Top 10 AI Stocks - Leading AI companies * Top 10 Crypto Stocks - Blockchain leaders * Top 10 Tech Stocks - Tech giants