Akre Capital Management, LLC 13F holdings and portfolio analysis

ReadyAkre Capital Management, LLC · Chuck Akre

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Baseline

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Baselinetested
Strategy Q&A reference3 reference Q&A

Pre-generated Q&A about this fund. Use as reference context for your own analysis.

baseline13FChat AI
What does directly following the disclosed baseline portfolio expose an investor to?

Directly following the baseline exposes an investor to a very concentrated, Financials-heavy large-cap quality portfolio with meaningful single-name risk. In the baseline artifact, the top 5 holdings make up 66.19% and the top 10 96.03%, with Mastercard alone at 21.75% and KKR, Visa, and Moody’s adding another 44.24% combined. Sector weights are led by Financials at 58.42%, then Information Technology at 14.69%, Consumer Discretionary at 13.82%, and Real Estate at 8.77%. The payoff is strong absolute performance—13.71% annualizedReturn and 243.47% totalReturn—but investors also inherit a -35.32% maxDrawdown, 654 trades over the backtest, and totalEstimatedCost of 1.5353, all with 13F-style reporting lag.

Show me the baseline’s top holdings, sector mix, and how much concentration risk comes from the top 5.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The recent baseline periods show that the strategy can add alpha in selective quarters but gives back a lot in weak stretches. Positive examples include 2023-06-30 with optimizedExcess of +2.04, 2024-03-31 with +2.03, 2024-12-31 with +1.51 despite a negative quarter overall, and 2025-09-30 with +1.12. The weak side is more punishing: 2023-12-31 posted -3.12 excess, 2025-03-31 was -5.52, and 2025-06-30 was -12.24 versus SPY, all while turnover stayed elevated at 16.36, 16.8, and 17.99 respectively. Those swings explain why the baseline still earned 13.71% annualizedReturn and positive alpha of 1.21, yet only modest benchmark consistency and a -35.32% maxDrawdown.

Plot the baseline’s quarterly excess return versus turnover so I can see when concentration paid off and when it hurt.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

Before accepting the baseline, a user should inspect concentration, sector dependence, and implementation frictions. The baseline artifact shows top10 concentration of 96.03%, Financials exposure of 58.42%, and a largest holding weight of 21.75% in Mastercard, so the portfolio outcome is dominated by a handful of names. Users should also check the drawdown path and trading burden: maxDrawdown reached -35.32%, tradeCount totals are high across periods, and turnover spikes such as 21.29 in 2022-12-31 and 20.06 in 2025-09-30 indicate meaningful rebalance activity despite a disclosed-holdings strategy. Finally, review whether the lag risk is acceptable, because the artifact explicitly notes 13F-style reporting delay and 654 trades with totalEstimatedCost of 1.5353.

Show me the baseline drawdown history, biggest turnover spikes, and the holdings driving those risks.
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