What were the key takeaways from MongoDB's earnings call?

What is the market's earnings forecast for MongoDB next quarter?

What is MongoDB's latest dividend and current dividend yield?

What factors drove the changes in MongoDB's revenue and profit?

Did MongoDB beat or miss consensus estimates last quarter?

What is MongoDB's gross profit margin?

What guidance did MongoDB's management provide for the next earnings period?

What is the revenue and EPS growth rate for MongoDB year over year?

- **Revenue Growth**: Q3 revenue up 19% YoY to $628.3 million, with Atlas driving 30% growth. 
- **Customer Expansion**: Added 2,600 new customers, total 62,500, and 8,000 year-to-date additions. 
- **AI Integration**: AI-native companies and enterprises using MongoDB for vector search and embeddings, e.g., 90% latency reduction in media. 
- **Financial Strength**: 20% operating margin, $140 million free cash flow, and Q4 guidance for 21-22% revenue growth. 
- **AI Momentum**: Early AI adoption in enterprises, with examples showing performance and cost improvements.

**【CEO Summary Section】**
- Total revenue reached $628.3 million, up 19% year-over-year, driven by 30% growth in Atlas revenue (now 75% of total). 
- Added 2,600 new customers in Q3, bringing total to 62,500, with 8,000 year-to-date additions. 
- AI strategy focuses on embedding models and vector search, with examples like a media company cutting latency by 90% using MongoDB's vector database. 
- Operating margin improved to 20% (from 19% YoY), with $123 million non-GAAP operating income. 

**【CFO Financial Commentary】**
- Non-GAAP EPS of $1.32, exceeding expectations, with free cash flow of $140 million (224% YoY growth). 
- Q4 guidance: Revenue $665-670 million (21-22% growth), operating margin 21%. 
- Full year guidance: Revenue $2.434-2.439 billion (21-22% growth), operating margin 18%. 
- Atlas growth driven by US and EMEA, with non-Atlas ARR up 8% YoY. 

**【Q&A Highlights】**
- CJ Desai emphasized AI-native companies and enterprise AI adoption, citing a media company's success with MongoDB's vector search. 
- Mike Berry noted Q4 Atlas growth of 27% (vs. mid-20s prior guidance) and non-Atlas ARR growth in the upper single digits. 
- Customers are expanding existing workloads, with AI driving modernization (e.g., insurance claims processing). 
- AI impact is early but promising, with examples in media and insurance showing performance improvements and cost savings.

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