ProShares Nasdaq-100 Dynamic Buffer ETF (QB)
| Assets | $1.35M |
| Expense Ratio | 0.58% |
| PE Ratio | 35.51 |
| Shares Out | 30,001 |
| Dividend (ttm) | $0.29 |
| Dividend Yield | 0.65% |
| Ex-Dividend Date | Mar 25, 2026 |
| Payout Ratio | 22.94% |
| 1-Year Return | n/a |
| Volume | 782 |
| Open | 44.84 |
| Previous Close | 44.99 |
| Day's Range | 44.83 - 44.91 |
| 52-Week Low | 39.83 |
| 52-Week High | 45.07 |
| Beta | n/a |
| Holdings | 103 |
| Inception Date | Jun 24, 2025 |
About QB
Fund Home PageThe ProShares Nasdaq-100 Dynamic Buffer ETF (QB) is an exchange-traded fund that is based on the Nasdaq-100 Dynamic Buffer index. The fund tracks an index that invests in the Nasdaq-100 stocks while employing an options strategy designed to provide capped gains and buffer against the first 1% to 5% of Nasdaq-100s losses. QB was launched on Jun 24, 2025 and is issued by ProShares.
Top 10 Holdings
143.95% of assets| Name | Symbol | Weight |
|---|---|---|
| NASDAQ-100 DYNAMIC BUFFER OPTION ONLY INDEX SWAP GOLDMAN SACHS INTERNATIONAL | n/a | 99.57% |
| NVIDIA Corporation | NVDA | 9.36% |
| Apple Inc. | AAPL | 6.98% |
| Microsoft Corporation | MSFT | 5.61% |
| Amazon.com, Inc. | AMZN | 4.99% |
| Alphabet Inc. | GOOGL | 3.61% |
| Meta Platforms, Inc. | META | 3.57% |
| Broadcom Inc. | AVGO | 3.53% |
| Tesla, Inc. | TSLA | 3.37% |
| Alphabet Inc. | GOOG | 3.36% |
Dividends
| Ex-Dividend | Amount | Pay Date |
|---|---|---|
| Mar 25, 2026 | $0.08811 | Mar 31, 2026 |
| Dec 24, 2025 | $0.16466 | Dec 31, 2025 |
| Sep 24, 2025 | $0.03788 | Sep 30, 2025 |
News
Visual Drill Results from Teuton's Ram Property -- Golden Triangle, British Columbia
September 10, 2025 – TheNewswire - Victoria, BC –– Teuton Resources Corp. (“Teuton” or “the Company”) (“TUO”-TSX-V) (“TEUTF”-OTC:QB) is pleased to provide an update on its 2025 inaugural drill progra...
ProShares Launches Groundbreaking Suite of Dynamic Buffer ETFs
BETHESDA, Md.--(BUSINESS WIRE)--ProShares Dynamic Buffer ETFs capture gains and target downside protection with a patent-pending approach that adapts daily to expected volatility.