Overview
Just the 50 largest companies in the S&P 500 — the most concentrated mega-cap index fund available, purer even than the S&P 100.
Top Holdings
| Ticker | Holding | Weight |
|---|---|---|
| NVDA | NVIDIA Corp. | 10.4% |
| MSFT | Microsoft Corp. | 8.6% |
| AAPL | Apple Inc. | 8.3% |
| AMZN | Amazon.com Inc. | 5.4% |
| META | Meta Platforms | 4.1% |
| AVGO | Broadcom Inc. | 3.9% |
| GOOGL | Alphabet Inc. A | 3.8% |
| TSLA | Tesla Inc. | 2.8% |
| BRK.B | Berkshire Hathaway | 2.5% |
| LLY | Eli Lilly & Co. | 2.2% |
Fund Details
Investment Thesis
XLG is the maximalist expression of the mega-cap thesis: if scale begets scale in the AI economy, own only the fifty biggest and skip the rest. It has beaten the S&P 500 through the entire concentration era — +31% over the trailing year — precisely because it holds more of what's been winning. The same math runs in reverse if breadth ever returns; this is concentration as a conscious choice.
Who It's For
Conviction investors doubling down on mega-cap dominance, and traders wanting maximum large-cap beta in one liquid ticker. Pointless alongside an S&P 500 fund — it's a sharper version of the same bet.
10-Year History
| Year | Close | % Chg |
|---|---|---|
| 2016 | $12.19 | -- |
| 2017 | $14.87 | +22.0% |
| 2018 | $14.28 | -4.0% |
| 2019 | $18.71 | +31.0% |
| 2020 | $22.82 | +22.0% |
| 2021 | $29.67 | +30.0% |
| 2022 | $23.14 | -22.0% |
| 2023 | $30.78 | +33.0% |
| 2024 | $40.63 | +32.0% |
| 2025 | $52.00 | +28.0% |
| Year | Yield |
|---|---|
| 2016 | 2.00% |
| 2017 | 1.80% |
| 2018 | 2.00% |
| 2019 | 1.70% |
| 2020 | 1.40% |
| 2021 | 1.20% |
| 2022 | 1.50% |
| 2023 | 1.20% |
| 2024 | 1.00% |
| 2025 | 0.90% |
| Year | AUM | % Chg |
|---|---|---|
| 2016 | $0.5B | -- |
| 2017 | $0.7B | +40.0% |
| 2018 | $0.8B | +14.3% |
| 2019 | $1.2B | +50.0% |
| 2020 | $1.6B | +33.3% |
| 2021 | $2.3B | +43.7% |
| 2022 | $2B | -13.0% |
| 2023 | $3.5B | +75.0% |
| 2024 | $7B | +100.0% |
| 2025 | $9.5B | +35.7% |
Price history from exchange data. Dividend yields from reported distributions; some earlier years are derived from total-return vs price-return data or are ETFHub estimates. AUM history is an ETFHub estimate modelled from current assets and annual returns (fund flows not reflected) and may differ from official fund records. Data as of October 2026.
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