Bloomberg has introduced its Private Direct Lending Data offering, writing that this brings greater visibility and normalisation to the fragmented private credit data landscape.
The solution aggregates data from multiple sources to cover more than 15,000 active private direct loans, representing approximately USD1 trillion in deal flow.
The firm writes that by combining deal terms, reported pricing, credit risk indicators, and other market-relevant data points, Bloomberg delivers a unified view of direct lending deal flow to enhance market insights and support workflows such as origination, screening, benchmarking, risk monitoring, and more.
Bloomberg’s Private Direct Lending offering consolidates information from all US BDC filings, as well as exclusive Bloomberg News reporting, M&A disclosures, and involved party submissions, supported with six years of history.
Bloomberg then standardises and de-duplicates these inputs to create a single loan-level record with a FIGI ID so that when a loan is held by multiple entities, it is represented once and consistently across holders, enabling clients to track deal flow, pricing, and trends with greater precision and at scale.
“Direct lending has historically been difficult to evaluate because loan-level data is often fragmented, inconsistent and not easily comparable across the markets,” says Brad Foster, Head of Fixed Income & Private Markets at Bloomberg. “Bloomberg is extending its end-to-end credit capabilities into private markets by combining a normalised dataset of all US BDC-reported and other direct lending loans with integrated analytics and enterprise delivery so clients can analyse pricing trends, compare loan terms, and apply more consistent analysis across public and private credit.”
Key features of Bloomberg’s Direct Lending Offering:
Loan-level transparency: Provides a consolidated view of private credit loans across sectors and regions, including key terms (e.g., deal size, spread/margin, PIK status), pricing signals (e.g., BDC-reported price marks), and credit health indicators (e.g., non-accrual status).
Integrated analytics across Bloomberg: Direct lending data connects to core Terminal workflows such as Screening {SRCH <GO>}, Relative Value Analysis {FIW <GO>}, and Yield/Spread Analytics {YAS <GO>}, and is accessible via BQL and BQuant, enabling users to screen, benchmark, and visualize within existing credit workflows.
Enterprise Data delivery and interoperability: Delivered via Data License and enhanced with FIGIs and Bloomberg Company IDs, enabling seamless linking to holdings, issuers, and related Bloomberg data content for large-scale analytics and integration across front- to back-office systems.
