Why Look-Through Analysis is Essential for Secondary Private Equity Investors

In the world of secondaries, the value of look-through analysis is rarely disputed. If anything, the surprise is how many LPs still underutilize it.

Unlike primary investors—those who commit at a fund’s inception—secondary buyers step into portfolios mid-flight. To price those interests accurately, they need to know what they’re actually buying. That means going beyond fund-level data and looking through to the underlying portfolio companies.

In secondary transactions, exposure-level transparency isn’t just helpful—it’s essential. It drives better decision-making across three critical points in the workflow:screening new opportunities, pricing them accurately, and actively managing the portfolio post-close.

Let’s dive in.

Every secondary deal starts in the same place: a data room.

Inside, buyers typically find a patchwork of documents—capital account statements, quarterly reports, financials, LP notices, and sometimes Excel trackers—all relating to the funds being sold. From that data room, investors must answer two foundational questions:

1. Should we dig deeper into this deal? (Screening)
2. What price should we offer to hit our return targets? (Pricing)

Both of these depend on the same core capability: extracting and analyzing look-through data from unstructured fund reports.

Secondary investing may be opportunistic, but every opportunity still needs to fit within the broader book. Before committing time or capital to a deal, LPs use look-through data to understand how it complements—or conflicts with—their existing exposures.

Typical questions include:

• Are we doubling down on sectors we’re already overweight?
  
• Does this push us above our target for a geography or theme?
  
• Is this deal adding diversification—or clustering risk?
  

By mapping exposures across vintage years, strategies, and regions, buyers can pre-screen deals for strategic fit, pacing discipline, and diversification goals.

Once a deal clears the screening hurdle, the next task is pricing—and look-through is the engine that drives valuation.

There are two basic approaches:

Top-Down Pricing

This method starts with fund-level characteristics: strategy, vintage, age, historical DPI/TVPI, and headline exposures. Based on those, buyers project future distributions and NAV trajectories, then discount them to today using their target IRR.

Buyers might reference comparable secondaries transactions or apply a discount-to-NAV range based on market conditions. This method is quick—but shallow. It can’t see what’s actually in the portfolio.

Bottom-Up Pricing

This is where look-through analysis becomes indispensable. Sophisticated buyers extract the fund's investment schedule and underlying company financials. Then they:

• Match portfolio companies to public/private comps
• Benchmark sector exposure against current market views
• Model upside potential based on valuation re-rating, exit timelines, and macro conditions

In a NAV-driven secondaries market, you’re not buying a blind pool—you’re buying a set of marked portfolio companies. Understanding what those assets are, how healthy they are, and how much upside they offer is the foundation of accurate pricing and IC approval.

The value of look-through doesn’t stop at the point of purchase.

Secondary LPs use exposure-level data to monitor their positions over time—and make proactive decisions when portfolio companies start to exit, sectors shift, or valuation dislocations emerge.

Examples include:

• Selling a fund position that has hit its return target
• Rebalancing after key exits or write-downs
• Reducing exposure to a volatile sector or geography

In a market where liquidity windows open and close quickly, timing is everything. Structured, up-to-date look-through data allows secondaries to act—not react.

Unlike primary investing, secondary private equity investing demands clarity under pressure. You’re not betting on a strategy—you’re underwriting a live portfolio.

That’s why look-through analysis is foundational. It powers sharper screening, more confident pricing, and more agile post-close management. But to do it well, LPs need more than a view—they need a system.

That starts with defining what data to track across asset classes and strategies, and building the infrastructure to collect and structure it efficiently from unstructured GP reports.

For LPs scaling modern secondaries programs, exposure-level data isn’t a luxury—it’s table stakes.