What Is Burgiss and How Does It Collect Private Equity Data?
Burgiss private equity data sits at the institutional end of the market, a long way from anything you can access through a brokerage account or wealth management portal. Founded in 1987 and acquired by MSCI in 2023 for approximately $697 million, Burgiss built its reputation by collecting fund-level performance data directly from limited partners, not from GPs self-reporting favorable numbers. That sourcing distinction matters more than most investors realize.
The core methodology works like this: institutional LPs, primarily endowments, pension funds, and sovereign wealth funds, share their actual capital call, distribution, and NAV records with Burgiss. The platform aggregates that data across thousands of funds and validates it against ILPA reporting standards, which define the specific data fields limited partners expect from GPs, including fee disclosures, carried interest calculations, and net asset values.
The result is a database built from the LP side of the ledger, which structurally reduces the survivorship bias and self-reporting distortions that affect competitor datasets assembled primarily from GP submissions.
MSCI's decision to pay nearly $700 million for this capability signals something worth noting. MSCI built its entire public markets business on index methodology credibility. Staking its private markets expansion on Burgiss's data infrastructure is an independent endorsement of the platform's rigor that no marketing claim could replicate.
How Burgiss Compares to Preqin and Cambridge Associates for Private Equity Benchmarking
Three platforms dominate institutional private equity benchmarking. Each takes a meaningfully different approach to data collection, coverage, and methodology.
| Platform | Primary Data Source | Coverage Focus | Key Differentiator |
|---|---|---|---|
| Burgiss (MSCI Private Capital Solutions) | LP-reported actuals | Fund performance, cash flows, PME | LP-sourced data reduces GP self-reporting bias |
| Cambridge Associates | LP-reported actuals | US and global PE indices | Widely used as independent benchmark standard |
| Preqin | GP submissions, public filings | Fundraising, deal flow, fund terms | Broadest coverage of fund universe and deal data |
Cambridge Associates publishes quarterly private equity benchmark indices that family offices and endowments treat as the independent performance standard. Preqin's annual global private equity report tracks AUM, fund performance, and fundraising activity across the broadest fund universe of the three.
Burgiss's edge historically has been the depth of its cash flow data and its Public Market Equivalent calculations, which allow direct comparison of PE fund returns against what the same capital would have earned in a public index like the S&P 500. That PME methodology is the most rigorous tool available for evaluating whether a private equity allocation actually justifies its illiquidity premium.
For advanced analysis tools for professionals, the practical question is not which platform is "best" but which combination your advisors are using. A family office running only Preqin for manager selection is working with a different picture than one cross-referencing Burgiss PME data against Cambridge Associates benchmarks.
Is Burgiss Data Available to Individual Investors or Only Institutional Clients?
Direct access to Burgiss is not available to individual investors, including most ultra-high-net-worth individuals. The platform licenses its database to endowments, pension funds, sovereign wealth funds, fund-of-funds managers, and investment consultants. This is not a pricing issue you can solve by writing a larger check.
Individual accredited investors and qualified purchasers (the SEC's $5M investable assets threshold for the most restrictive fund structures) typically access private equity through fund-of-funds, feeder funds, or platforms like iCapital and CAIS. None of those access points include a Burgiss subscription.
| Investor Type | Typical PE Access Vehicle | Access to Burgiss Data? |
|---|---|---|
| Accredited investor ($1M+ net worth) | Feeder funds, interval funds | No |
| Qualified purchaser ($5M+ investable assets) | Direct fund LP interests, fund-of-funds | No (unless via consultant) |
| Family office ($50M+ AUM) | Direct LP, co-investments | Possible via retained consultant |
| Endowment / Pension | Direct LP, separately managed | Yes, direct license |
The practical implication for FatFIRE readers: the question is not whether you can log into Burgiss. The question is whether your wealth manager, investment consultant, or family office advisor subscribes to Burgiss or a comparable institutional service when making private equity recommendations to you.
If your advisor cannot tell you which benchmarking database they use to evaluate manager performance, or cannot produce a PME comparison for the funds they are recommending, that is a gap worth pressing on. The comprehensive private equity databases that institutional investors rely on exist precisely to answer the questions that GP marketing materials are designed to obscure.
How Ultra-High-Net-Worth Investors Should Benchmark Private Equity Performance
The standard IRR figure that GPs report in their pitch decks is almost useless in isolation. IRR is sensitive to the timing of cash flows, can be manipulated through subscription credit lines that delay capital calls, and tells you nothing about whether the return justified locking up capital for ten years.
The Public Market Equivalent methodology solves this. PME calculates what your committed capital would have returned if invested in a public index on the same dates as actual capital calls, then compares that hypothetical return to the fund's actual distributions. Burgiss is one of the few platforms that calculates PME at scale across its entire fund universe, which is why institutional allocators treat it as a primary tool for manager evaluation.
For a $5M+ investor running a 15% private equity allocation, the manager selection decision is the dominant variable. Academic research published in the Journal of Finance by Kaplan and Schoar established that top-quartile private equity fund performance persists across vintages in a way that does not hold for most public market managers. Top-quartile funds have historically outperformed the S&P 500 by 3 to 5 percentage points net of fees over long horizons. Median and bottom-quartile funds have underperformed public markets.
On a $750,000 PE allocation over a ten-year fund life, the difference between top-quartile and median manager selection can exceed $500,000 in terminal value. That is not a rounding error.
The metrics your advisor should be reporting, and that Burgiss's platform tracks against GIPS-compliant standards established by the CFA Institute, include:
| Metric | What It Measures | Why It Matters |
|---|---|---|
| IRR (net of fees) | Time-weighted return on invested capital | Standard GP reporting metric; compare net, not gross |
| TVPI (Total Value to Paid-In) | Total value returned vs. capital called | Captures both realized and unrealized value |
| DPI (Distributions to Paid-In) | Cash actually returned to LPs | The only metric that reflects real liquidity |
| PME (Public Market Equivalent) | PE return vs. public index on same cash flow dates | Best test of whether illiquidity premium was earned |
| RVPI (Residual Value to Paid-In) | Unrealized portfolio value | Treat with skepticism in early vintage years |
The Private i Platform and MSCI Private Capital Solutions
Before the MSCI acquisition, Burgiss's primary client-facing product was the Private i platform, which consolidated fund performance data, portfolio analytics, and benchmarking into a single interface. Post-acquisition, MSCI has been integrating Burgiss's capabilities into its broader investment intelligence infrastructure under the MSCI Private Capital Solutions brand.
For institutional users, the integration adds a meaningful layer: the ability to analyze private equity allocations alongside public market exposures within a unified risk framework. An endowment running a 30% private equity allocation alongside public equity and fixed income can now model total portfolio risk without switching between systems.
The platform's core analytics include performance attribution by vintage year, geography, and strategy; exposure analysis across sector and geography; and the PME calculations described above. Customized reporting outputs range from LP-ready quarterly reports to raw data exports for internal modeling.
For family offices evaluating investment management and reporting platforms, the MSCI integration raises the platform's ceiling. The question is whether the combined offering remains accessible to smaller institutional clients or whether pricing and minimum requirements shift upward as MSCI positions it for its largest institutional relationships.
What Private Equity Data Tools Do Family Offices Use for Due Diligence?
Family offices operating at the $50M to $500M AUM range occupy an interesting middle ground. They are large enough to access direct LP interests in top-tier funds, but often too small to justify a direct Burgiss license, which is priced for institutional buyers managing billions.
The practical toolkit for family offices typically combines:
Retained investment consultant. Firms like Cambridge Associates, Mercer, and Wilshire Associates maintain their own Burgiss and Preqin subscriptions and provide benchmarking analysis as part of their advisory relationship. This is the most common path for family offices to access institutional-grade PE data without a direct license.
Fund-of-funds relationships. Top fund-of-funds managers conduct their own manager selection using institutional data. Investing through a reputable fund-of-funds transfers some of that analytical infrastructure, at the cost of an additional fee layer.
GP-provided data. Every fund manager provides quarterly reports with IRR, TVPI, and NAV figures. The limitation is that these figures are self-reported and unaudited until the annual audit cycle. Cross-referencing GP data against an independent benchmark is the entire point of platforms like Burgiss.
iCapital and CAIS analytics. These platforms provide some performance reporting and benchmarking for the funds they distribute, but their data is limited to their fund universe and does not approach the depth of Burgiss's LP-sourced database.
For data-driven investment decision-making at the family office level, the most important question to ask any advisor is: what independent data source are you using to benchmark the managers you are recommending, and how does their PME compare to the relevant vintage year cohort?
Limitations and Risks in Private Equity Data: What Burgiss Does Not Solve
No data platform eliminates the structural challenges of private equity analytics. Several limitations apply to Burgiss and its competitors equally.
Data lag. Fund NAVs are reported quarterly, with a typical 45 to 90-day lag. In volatile markets, the "current" portfolio value you see in any PE database reflects conditions from the prior quarter. This is not a Burgiss-specific problem; it is a structural feature of private equity reporting.
Survivorship bias. Even LP-sourced databases have survivorship issues. Funds that dissolved without returning capital, or GPs who stopped reporting, are underrepresented in historical performance data. This means long-run average returns in any PE database likely overstate what a typical investor would have experienced.
Vintage year sensitivity. Private equity performance is heavily influenced by the macroeconomic environment at the time of investment. A 2006 vintage buyout fund and a 2010 vintage buyout fund operated in completely different environments. Comparing them without controlling for vintage year produces misleading conclusions.
Valuation subjectivity. Until a portfolio company is sold, its value is a GP estimate. RVPI figures, which represent unrealized value, are the least reliable numbers in any PE performance report. Burgiss validates data inputs but cannot independently verify underlying portfolio company valuations.
Coverage gaps in emerging strategies. Burgiss's historical strength is in traditional buyout, venture, and growth equity. Coverage of newer strategies, including infrastructure, private credit, and impact investing, is less comprehensive, though MSCI's acquisition may accelerate expansion in these areas.
Understanding these limitations is not a reason to avoid private equity data platforms. It is a reason to use them correctly, as a framework for relative comparison rather than as a source of absolute truth about portfolio value.
How the MSCI Acquisition Changes the Burgiss Private Equity Proposition
MSCI's $697 million acquisition of Burgiss in 2023 is the most significant event in private capital data infrastructure in years. To understand why it matters, consider what MSCI actually sells: the credibility of its methodology. Institutional investors pay MSCI because its indices are trusted as objective, rigorous, and consistent. That same credibility is now being applied to private markets data.
The practical implications for the evolving private equity landscape are several.
First, MSCI's distribution relationships with institutional asset managers, pension funds, and sovereign wealth funds give Burgiss's data access to a significantly larger client base. More institutional users means more LP data contributors, which improves database coverage over time.
Second, MSCI's regulatory relationships and compliance infrastructure may help Burgiss's data meet the increasingly stringent reporting requirements that the SEC is imposing on private fund advisers through Form PF. Large private fund advisers are already required to disclose performance and portfolio data to regulators. As those requirements expand, the demand for standardized, auditable private market data will grow.
Third, the integration with MSCI's public market analytics creates the possibility of genuine total portfolio risk analysis, combining liquid and illiquid exposures in a single framework. For institutional allocators running multi-asset portfolios, this is a meaningful capability upgrade.
For FatFIRE readers evaluating whether their advisors are using credible institutional data, the MSCI acquisition provides a useful shorthand. If your investment consultant or family office advisor references MSCI Private Capital Solutions or Burgiss data in their manager evaluation process, that is a meaningful signal about the quality of their analytical infrastructure.
Practical Steps for $5M+ Investors Evaluating Private Equity Allocations
You cannot log into Burgiss. But you can use the existence of platforms like it to ask better questions and hold your advisors to a higher standard.
Start with your current PE allocation. Ask your wealth manager or investment consultant to provide a PME comparison for every private equity fund in your portfolio, benchmarked against the S&P 500 or a relevant public index using the same vintage year cash flows. If they cannot produce this, ask which benchmarking database they use and why.
For new commitments, request the fund's historical performance data in GIPS-compliant format, including net IRR, TVPI, DPI, and RVPI by vintage year. Then ask your advisor to benchmark those figures against the relevant Burgiss or Cambridge Associates quartile data for the same strategy and vintage. Top-quartile performance in a 2018 buyout fund looks very different from top-quartile performance in a 2021 vintage.
Consider the fee structure carefully. A fund-of-funds that provides access to institutional-grade manager selection and Burgiss-benchmarked due diligence charges an additional 50 to 100 basis points annually. On a $1M allocation over ten years, that fee layer costs roughly $100,000 to $200,000 in foregone returns. The question is whether the analytical infrastructure and access it buys justifies that cost, which depends entirely on whether the underlying manager selection is actually top-quartile.
For key industry trends and insights on where private equity AUM and performance are heading, McKinsey's annual Global Private Markets Review documents that global PE AUM has grown to approximately $8 trillion. At that scale, the difference between having institutional-grade benchmarking data and relying on GP marketing materials is not a minor analytical preference. It is a material difference in the quality of your investment decisions.
The buy and build growth strategies that dominate mid-market buyout returns, and the largest transactions in financial history that define the upper end of the market, all get evaluated through the same benchmarking lens. The data infrastructure that Burgiss provides is what allows institutional investors to separate genuine outperformance from favorable market timing.
When comparing investment vehicle structures for your portfolio, whether direct LP interests, BDCs, or fund-of-funds, the benchmarking question applies equally. Each vehicle has different fee structures, liquidity profiles, and performance characteristics that only make sense when evaluated against a consistent independent benchmark.
The bottom line: Burgiss is not a tool you will use directly. It is a tool your advisors should be using, and knowing enough about how it works to ask the right questions is the practical value this platform holds for a $5M+ investor.
References
- MSCI -- "MSCI Completes Acquisition of Burgiss" (2023).
- CFA Institute -- "Global Investment Performance Standards (GIPS) for Private Equity" (2020).
- Preqin -- "Global Private Equity Report" (2024).
- Cambridge Associates -- "US Private Equity Index and Selected Benchmark Statistics" (2024).
- McKinsey & Company -- "Global Private Markets Review" (2024).
- SEC -- "Form ADV and Private Fund Reporting Requirements (Form PF)" (2023).
- Journal of Finance -- "Private Equity Performance: Returns, Persistence, and Capital Flows" -- Kaplan and Schoar (2005).
- Institutional Limited Partners Association (ILPA) -- "ILPA Reporting Template and Data Standards" (2023).
