Main Street Data's API provides 1,500+ company-specific operating metrics. Data covers both individual operating metrics, such as TSLA Supercharger Stations and PLTR Customers, as well as segmented metrics like NVDA Operating Income.
Typically, Main Street Data's customers are looking for insights into a business beyond the basic financial statements. KPIs directly indicate the quality of a business, and they can give investors a big edge since the data is rare and time consuming to gather. This data can be useful for retail and institutional investors alike since they are universally understandable.
History: 6+ years
Coverage: 354 companies (+ 60 more with December update) of the most popular companies in the world, totaling 1,500+ individual metrics
Update frequency: 90% of metrics updated within two hours of earnings releases, while the remainder are updated within 24 hours.
Some of the most popular metrics:
- TSLA Vehicles Delivered by Model
- TSLA Gross Margin by Segment
- META Family Daily Active Users
- NVDA Operating Income by Segment
- SPOT Premium Users
- PLTR Total Customers
- AWS Performance Obligations
- AAPL Global Active Devices
- SOFI Contribution Profit by Segment
- SQ Gross Payment Volume
- UBER Take Rate by Segment
- HOOD Assets Under Custody
- HIMS Subscriptions
- ABNB Gross Booking Value
- SHOP Monthly Recurring Revenue
- … (1500+ in total)
TSLA metrics example:
- Vehicles Delivered by Model
- Energy Storage Deployed
- Supercharger Stations
- Stores and Service Locations
- Mobile Service Fleet
- Vehicle Inventory Days of Supply
- MSRP by Base Model
- Revenue by Segment
- Revenue by Geography
- Per Vehicle Returns
- Gross Profit by Segment
- Gross Margin by Segment
- Operating Expense Breakdown
Next updates:
Growth Metrics Expansion: Introducing year-over-year growth datasets for 500–1,000 metrics, available in quarterly, annual, and TTM (Trailing Twelve Months) formats. Launching within the next two weeks.
Increased Coverage: Expanding our database to include 600+ companies by year-end, supported by our growing team of data analysts.
