Mega-funds kill the 10-bagger

Mega-funds kill the 10-bagger

The Carry · September 27th. 6 min 32 sec.

Cold open

PitchBook ran the numbers on ten thousand buyout exits. They were looking for the unicorns. The deals returning ten times cash on cash. And out of ten thousand deals, precisely zero of those ten baggers came from funds larger than 1 billion dollars. Zero. The math of mega cap private equity is changing. And LPs are paying the price.

Intro

This is The Carry for September 27th. I went through the top private equity podcasts this week so you don't have to. We are tracking shifting fund math, deal team burnout, and the death of large cap alpha. Here is what actually mattered. I'm West.

Large-Cap Alpha Dead

Large cap buyout alpha is mathematically dead. Andrew Akers and Devin Mathews broke this down on the Private Equity Funcast. They analyzed ten thousand buyout exits. They found a brutal baseline. Funds over 1 billion dollars produced exactly zero ten times cash on cash returns. Zero. A 10 billion dollar fund simply cannot move the needle with a 300 million dollar equity check. GPs are forced to buy mature businesses with double digit EBITDA. The sheer scale of these targets prohibits massive multiple expansion. That raises a massive question about LP strategy. Institutional allocators spend thousands of hours trying to pick mega cap winners. John Renkema talked about this on Fund Shack. He ran private equity at APG. He argues this entire exercise is functionally empty. Once a vehicle scales past 500 million dollars, twenty to thirty highly sophisticated LPs all pile in. They all believe they picked the winning manager. The combined weight of that institutional capital crowds out any real selection edge. Yet the money keeps flowing to the top. Warren Gibbon pointed out on How I Invest that twelve established firms captured roughly 75 percent of all venture capital fundraising this year. This extreme bifurcation lets top tier brands push fee structures to three and thirty. Gross returns might persist. The resulting fee drag guarantees that LP net returns compress directly back to the median. Allocators tolerate this margin degradation entirely to protect their jobs. Committing capital to massive brand names guarantees zero career fallout if the vintage struggles. Allocators prioritize avoiding visible drawdowns over maximizing absolute alpha.

Deal Team Burnout

Deal teams are burning high dollar hours on low value search. Sean Mooney laid this out on the Karma School of Business. A 1 billion dollar buyout fund runs on roughly 20 million dollars of annual fee revenue to cover overhead. That is a highly constrained model. It breaks completely when deal partners end up doing manual vendor sourcing. The shift from pure financial engineering to hands on operational scaling forces generalists to constantly hunt for hyper specialized talent. Deal partners routinely burn working hours on search engines and personal phone trees. They are trying to locate niche supply chain or software specialists. These are professionals billing near 3000 dollars an hour acting as their own recruiters. Every single week. The inefficiency extends straight down the analyst pool. Wall Street deal teams burn thousands of hours pulling filings and compiling briefing books late into the night. Chris Ackerson brought this up on How I Invest. A major bank recently tested AlphaSense across its analyst pool. They documented a 15 percent analyst lift in coverage efficiency. Automated document extraction and earnings searches eliminate late night manual data gathering. Automated search frees up junior capacity. Deal teams allocate this new capacity toward active client execution. Technology is finally absorbing the low value retrieval work. Firms are reallocating those hours to actual transaction structuring and pipeline development.

Chris Ackerson

Chris Ackerson was on How I Invest talking about the limits of artificial intelligence in institutional finance. He noted that general foundation models often fail because context retrieval accounts for eighty percent of compute costs. He said the vast majority of knowledge in the world lives in your head. That is a stark reminder about the true nature of information in private markets. We see endless public market data extraction available to everyone. Real alpha still lives in proprietary channel checks and unwritten supply chain dynamics. Firms are realizing that training a model on public documents generates pure consensus views. The actual informational edge remains entirely human.

Warren Gibbon

Warren Gibbon appeared on How I Invest to discuss the extreme bifurcation in venture capital and emerging manager evaluation. He was unpacking how complex deal structures often mask fundamentally weak businesses in the current vintage. He said, the best investment opportunities, the best investment ideas are actually pretty explainable and pretty simple. This serves as a sharp counter to the over engineered diligence memos currently flooding modern investment committees. Junior deal teams frequently confuse complexity with quality. LPs are watching managers construct massive spreadsheet models to justify marginal assets. The most successful institutional bets rely on clear operational levers and simple execution. Simplicity scales much better than complexity.

Jerry Cedicci

Jerry Cedicci shared a story on M and A Science about securing a 3 million dollar construction loan. He returned directly to the desk of the credit officer who denied his initial application to extract the exact underwriting metrics he needed. He said, I want to know why you turned me down because I am going to go to another banker and everything that you didn't like, I'm going to make it look better. That is the perfect blueprint for flipping a flat credit denial into a free piece of structural underwriting advice. Founders and sponsors routinely accept rejections at face value. Savvy operators extract the underwriting model directly from the refusal.

The bottom line

Private markets are consolidating around massive brands. Those mega funds extract higher fees to deliver strictly median returns. Institutional allocators accept this dynamic to insulate themselves from career risk. Meanwhile, actual alpha generation is shifting quietly toward domain specific technology and middle market operational efficiency. The true edge belongs to funds executing complex operating playbooks on smaller assets. That is The Carry. We will talk next Sunday.