Overview
Semiconductors equal-weighted — 48 chip names at roughly 2-3% each, so the analog, RF and sensor mid-caps count as much as the AI giants.
Top Holdings
| Ticker | Holding | Weight |
|---|---|---|
| SYNA | Synaptics | 3.5% |
| SWKS | Skyworks Solutions | 3.0% |
| OLED | Universal Display | 3.0% |
| TXN | Texas Instruments | 3.0% |
| ADI | Analog Devices | 3.0% |
| NXPI | NXP Semiconductors | 2.9% |
| ON | ON Semiconductor | 2.8% |
| CRUS | Cirrus Logic | 2.8% |
| PI | Impinj | 2.8% |
| MCHP | Microchip Technology | 2.8% |
Fund Details
Investment Thesis
The anti-SMH: equal weighting strips out NVIDIA concentration and makes XSD the purest bet on the chip cycle itself — when the rally broadens from AI accelerators to analog, auto and industrial silicon, this fund leads. +35% over twelve months with the broadening already underway, and two decades of history showing the equal-weight construction outperforms whenever the sector's tide lifts all boats rather than one.
Who It's For
Semiconductor bulls who think the cycle's next leg belongs to the mid-caps — chip exposure without betting half the fund on two mega-caps.
10-Year History
| Year | Close | % Chg |
|---|---|---|
| 2016 | $56.11 | -- |
| 2017 | $69.81 | +24.4% |
| 2018 | $64.70 | -7.3% |
| 2019 | $105.89 | +63.7% |
| 2020 | $170.78 | +61.3% |
| 2021 | $243.15 | +42.4% |
| 2022 | $167.23 | -31.2% |
| 2023 | $224.79 | +34.4% |
| 2024 | $248.45 | +10.5% |
| 2025 | $321.60 | +29.4% |
| Year | Yield |
|---|---|
| 2016 | 0.64% |
| 2017 | 0.64% |
| 2018 | 1.05% |
| 2019 | 0.61% |
| 2020 | 0.42% |
| 2021 | 0.12% |
| 2022 | 0.44% |
| 2023 | 0.34% |
| 2024 | 0.20% |
| 2025 | 0.31% |
| Year | AUM | % Chg |
|---|---|---|
| 2016 | $0.4B | -- |
| 2017 | $0.5B | +25.0% |
| 2018 | $0.5B | +0.0% |
| 2019 | $0.8B | +60.0% |
| 2020 | $1.3B | +62.5% |
| 2021 | $1.8B | +38.5% |
| 2022 | $1.2B | -33.3% |
| 2023 | $1.7B | +41.7% |
| 2024 | $1.8B | +5.9% |
| 2025 | $2.4B | +33.3% |
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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