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| Quarter | Letter Date | Fund Name | QTD | YTD | Tickers | Themes | Quick Take |
|---|---|---|---|---|---|---|---|
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"Edgewood's concentrated 22-stock large cap growth portfolio declined 1.2% in Q3 despite strong AI infrastructure performance. The firm added to positions during dislocations, maintaining 28% exposure to AI buildout while seeing encouraging broadening beyond infrastructure."
Edgewood Management's large cap growth strategy returned -1.2% net in Q3 2025, underperforming the S&P 500's 8.1% return. The portfolio maintains 22 concentrated positions in high-quality growth companies, with 28% allocated to AI infrastructure buildout spanning NVIDIA, ASML, Broadcom, and others. Key contributors included ASML (+21.1%), NVIDIA (+18.1%), and Shopify (+28.8%), while detractors included The Trade Desk (-39.0%, subsequently sold), Netflix (-10.5%), and Intuit (-13.2%). The firm actively added to positions during market dislocations, increasing stakes in Eli Lilly, FICO, ASML, Synopsys, Intuitive Surgical, and Boston Scientific. Management sees encouraging signs that AI adoption is broadening beyond infrastructure to proprietary data and application layers. The team demonstrated conviction by making additional personal investments in the strategy during September 2025, following similar actions in 2010 and 2023 after periods of underperformance. Portfolio companies are expected to deliver 24% EPS growth in 2026 versus 15% for the S&P 500.
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Algorithmic conviction, macroeconomic posture, and risk appetite signals extracted from this quarterly letter with qualitative explanations.
Market Conviction
Very high conviction evidenced by concentrated 22-stock portfolio with largest weightings representing strongest convictions. Management personally invested additional capital in September 2025, following similar actions in 2010 and 2023. Specific position sizing mentioned (added 250bps to FICO, 170bps to SNPS, 100bps to multiple names) with clear thesis explanations for each holding.
Growth Outlook
The letter shows mild positive sentiment toward markets. While acknowledging Q3 underperformance, the manager emphasizes strong AI infrastructure performance and sees encouraging signs of AI broadening. The tone is constructive but measured, with focus on selective opportunities rather than broad market enthusiasm.
Risk Appetite
The portfolio maintains concentrated exposure with 28% in AI infrastructure and actively added to positions during dislocations. The firm demonstrates selective risk appetite by increasing stakes in specific names while maintaining disciplined position limits. This reflects a tilted-toward-risk positioning but with careful selectivity.
Capital Deployment
Moderate deployment activity with additions to six existing positions (LLY, FICO, ASML, SNPS, ISRG, BSX) totaling several hundred basis points, while trimming seven positions and fully exiting The Trade Desk. This represents active rebalancing and selective deployment rather than net cash deployment, scoring as moderate positive deployment.
Forward Guidance
The manager expresses conviction in current holdings and took advantage of dislocations to add positions. They see encouraging signs of AI broadening beyond infrastructure. The guidance suggests selective deployment bias with focus on existing high-conviction names rather than broad market deployment.
Language Signal
Language is balanced with more opportunity-focused terms like 'conviction,' 'attractive,' and 'encouraging signs' offset by acknowledgment of underperformance and market dislocations. The net balance leans slightly positive but remains measured and analytical rather than enthusiastic.
Perceived Risk
Low perceived risk with minimal discussion of macro concerns. The letter focuses on company-specific opportunities and dislocations rather than systemic risks. Brief mentions of tariff uncertainty and AI disruption fears are quickly dismissed as overblown, suggesting the manager views current environment as presenting opportunities rather than significant threats.
Opportunity Density
Good opportunity density evidenced by active position building across multiple names during market dislocations. The manager found attractive entry points in six different holdings and sees encouraging signs of AI theme broadening. The selective nature suggests quality opportunities exist but require careful selection.
Time Horizon
Long-term horizon evidenced by focus on multi-year EPS growth algorithms (20%+ for LLY, high teens for ASML), secular AI adoption themes, and willingness to add during short-term volatility. The manager discusses companies' long-term competitive moats and addressable markets, suggesting 3-5 year investment horizons for thesis realization.
