Key Takeaways
- • S&P Global (NYSE: SPGI), Cambridge Associates and Mercer (a Marsh business) launched the S&P Global, Cambridge Associates, Mercer Private Markets Performance Analytics datasets, with an initial release covering private credit and real assets across thousands of funds and their underlying assets.
- • The datasets are now available globally and are designed to help investors compare performance, manage risk, underwrite deals and determine portfolio impacts.
- • The datasets are built on S&P Global's iLEVEL portfolio monitoring platform and a new proprietary private markets taxonomy to standardize, aggregate and anonymize data.
- • Datasets for private equity and other asset classes will follow later in 2026, with future releases to include data feed APIs and integrated software solutions.
Summary
S&P Global announced the launch of the S&P Global, Cambridge Associates, Mercer Private Markets Performance Analytics datasets, the first release from a collaboration among the three firms introduced in 2025, according to a PR Newswire release. The initial release delivers standardized data across thousands of funds and their underlying assets in private credit and real assets, and is now available globally to investors.
The datasets are powered by S&P Global's iLEVEL portfolio monitoring platform and use a new proprietary private markets taxonomy to standardize, aggregate and anonymize information. The stated objective is to help limited partners (LPs) and general partners (GPs) analyze performance, identify trends and inform allocation decisions. Specified use cases include portfolio performance monitoring, risk management, asset allocation, fundraising analysis and competitive insights.
Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer, said that standardized, decision-ready intelligence is increasingly needed as private markets evolve. Andrea Auerbach, Global Head of Private Investments at Cambridge Associates, said the collaboration strengthens the firm's ability to provide clients with new insights. Rob Ansari, Global Head of Analytics and Portfolio Solutions at Mercer, said that as manager counts grow, comprehensive performance data is increasingly important for investors.
According to the release, the datasets will support comparison of performance across similar investments, deal-level and sector-level market data, assessment of portfolio impact from market events, and tracking of asset valuation trends, fundraising dynamics and deal activity. Datasets for private equity and other asset classes are scheduled to follow later in 2026, and future releases will add data feed APIs and integrated software solutions.
The datasets are powered by S&P Global's iLEVEL portfolio monitoring platform and use a new proprietary private markets taxonomy to standardize, aggregate and anonymize information. The stated objective is to help limited partners (LPs) and general partners (GPs) analyze performance, identify trends and inform allocation decisions. Specified use cases include portfolio performance monitoring, risk management, asset allocation, fundraising analysis and competitive insights.
Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer, said that standardized, decision-ready intelligence is increasingly needed as private markets evolve. Andrea Auerbach, Global Head of Private Investments at Cambridge Associates, said the collaboration strengthens the firm's ability to provide clients with new insights. Rob Ansari, Global Head of Analytics and Portfolio Solutions at Mercer, said that as manager counts grow, comprehensive performance data is increasingly important for investors.
According to the release, the datasets will support comparison of performance across similar investments, deal-level and sector-level market data, assessment of portfolio impact from market events, and tracking of asset valuation trends, fundraising dynamics and deal activity. Datasets for private equity and other asset classes are scheduled to follow later in 2026, and future releases will add data feed APIs and integrated software solutions.
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