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| Returns | 1D | 1M | 3M | YTD | 1Y | 3Y | 5Y | MAX |
|---|---|---|---|---|---|---|---|---|
| Total return | ▲ +0.3% | ▲ +2.1% | ▲ +3.4% | ▲ +16.1% | ▲ +16.2% | — | — | ▲ +37.5% |
| Peer average | ▼ −0.1% | ▲ +1.1% | ▲ +2.7% | ▲ +13.6% | ▲ +13.5% | ▲ +88.2% | ▲ +81.1% | — |
| S&P 500 · VOO | ▼ −0.4% | ▲ +0.9% | ▲ +3.3% | ▲ +13.8% | ▲ +13.3% | ▲ +88.8% | ▲ +81.9% | — |
The Tema S&P 500 Historical Weight ETF Strategy (DSPY) utilizes a systematic, rule-driven framework to replicate the S&P 500 index. This approach, however, deliberately aims to mitigate over-concentration in any single company. The allocation of portfolio weights is derived from the past ranking and influence of individual constituents within the S&P 500 index.
Distribution yield and SEC yield use different methodologies. Payouts may include income, capital gains, or return of capital.
| Ex-date | Pay date | Per share |
|---|---|---|
| 2026-09-29 | 2026-10-01 | $0.19 |
| 2026-06-24 | 2026-06-26 | $0.17 |
| 2026-03-25 | 2026-03-27 | $0.07 |
| 2025-12-23 | 2025-12-26 | $0.19 |
| 2025-09-30 | 2025-10-02 | $0.06 |
| 2025-06-25 | 2025-06-27 | $0.16 |
Estimated annual expense excludes trading costs and assumes constant assets. Fee waivers and fund costs can change.
Historical risk measures describe past behavior and do not predict future returns.
Hear the strategy from the people behind DSPY.