Spend less time wrangling data and more time uncovering market opportunities. Purpose-built for rigorous investment research, Bloomberg’s expanding suite of research datasets provides seamless, end-to-end solutions to power your investment workflows.
Every dataset is designed for native interoperability and scalability, allowing you to seamlessly integrate new datasets into your existing workflows without friction.
Optimized for research
Key features include long point-in-time history, accurate timestamps, granular metadata and fast time series retrieval support sophisticated analysis, backtesting and signal generation. All are designed to support sophisticated backtesting, signal generation and alpha discovery.
Eliminate deployment friction
Get up and running instantly with pre-processed datasets delivered directly to your preferred cloud environment or seamlessly query modeled data using our Qube Datastore API.
New datasets
We’re continually expanding our suite of investment research data products, with new datasets in company research, commodity research, macro research and quant pricing.
Introducing Bloomberg Qubes
Cubes for Quants
Qube Datastore (QDS)
A cloud-based repository of historical Qubes designed for quantitative research.
QDS API
A highly performant, Python-based interface for querying historical time series data from the QDS.
Cloud Data Sharing
Table-ready access to the QDS via Snowflake Private Share.
Enterprise MCP
Managed tools for generative AI and agentic workflows to search and retrieve data from the QDS.
Bloomberg Qube Datastore is a specialized environment designed to streamline quantitative research, providing curated, production-ready datasets for seamless backtesting and alpha generation. Access modeled reference, pricing, research and alternative data through a high-performance QDS API.
Datasets
Company Research
Company Financials, Estimates, and Pricing Point-in-Time
- ︎Historical point-in-time company actuals, consensus estimates, company guidance and pricing data for over 100,000 active and inactive public companies
- Seamless updates to company actuals, consensus estimates and pricing data using point-in-time adjustment factors related to corporate actions
- Access Last Twelve Months (LTM) views and as-reported formats, standardized across industry sectors
Industry Specific Company KPIs and Estimates
- ︎1,200 unique KPIs (key performance indicators) across the 11 Bloomberg Industry Classification Standard (BICS) Level 1 Sectors and 44 BICS Level 3 Industries, enabling deep sector and industry research
- KPI Estimates help forecast headline financials for upcoming fiscal periods​
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Operating Segment Fundamentals (BICS)
- Operating segment data for 53,000 public companies
- Revenue, total balance sheet assets, net revenue and operating income for each reported segment of a company for the company’s latest reported fiscal year​
- Bloomberg’s experienced analyst teams classify and map companies’ as-reported segments to standardized BICS segments based on various qualitative and quantitative measures
Geographic Segment Fundamentals (GEO)
- Geographic segment data for 53,000 public companies︎
- Region- and country-level actuals data reported by companies when available︎
- Non-reported data is estimated by a hybrid trade flow + GDP model that estimates a company’s revenues with other countries based on its country of domicile, a more accurate measure than estimates based on revenue weighted by GDP​ alone︎
Supply Chain Data
- Supply chain data, several supplier tiers deep, for over 100,000 companies
- 18 years of history, providing significant visibility into company supply chains
- Both estimated and as-reported relationship data leveraging content from financial reports, investor presentations, conference calls, news releases, trade journals, product catalogs and company websites
Alternative Data: Bloomberg Second Measure
- Proprietary Bloomberg Second Measure transaction data analytics feeds are now available via Bloomberg Data License and Data License+
- Credit card and debit card transaction data from 20+ million U.S. consumers, covering 3,700 public and private companies and 4,900+ brands across industries
- Gain valuable insights into company performance and consumer trends from billions of transactions in near real-time (1-day lag)
Discover our data solutions that can help your firm become more efficient and effective.
