Every SPY distribution over the last three years, against the share price
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-20, from SPY Dividend Yield: Why It Trails the Index.
| ex_date | ex_date_label | pay_date_label | cash_amount | pct_of_price |
|---|---|---|---|---|
| 2023-12-15 | Dec 15, 2023 | Jan 31, 2024 | 1.9061 | 0.406 |
| 2024-03-15 | Mar 15, 2024 | Apr 30, 2024 | 1.5949 | 0.313 |
| 2024-06-21 | Jun 21, 2024 | Jul 31, 2024 | 1.759 | 0.323 |
| 2024-09-20 | Sep 20, 2024 | Oct 31, 2024 | 1.7455 | 0.307 |
| 2024-12-20 | Dec 20, 2024 | Jan 31, 2025 | 1.9655 | 0.333 |
| 2025-03-21 | Mar 21, 2025 | Apr 30, 2025 | 1.6955 | 0.301 |
| 2025-06-20 | Jun 20, 2025 | Jul 31, 2025 | 1.7611 | 0.296 |
| 2025-09-19 | Sep 19, 2025 | Oct 31, 2025 | 1.8311 | 0.276 |
| 2025-12-19 | Dec 19, 2025 | Jan 30, 2026 | 1.9934 | 0.293 |
| 2026-03-20 | Mar 20, 2026 | Apr 30, 2026 | 1.797 | 0.277 |
| 2026-06-18 | Jun 18, 2026 | Jul 31, 2026 | 1.9035 | 0.255 |
| 2026-09-18 | Sep 18, 2026 | Oct 30, 2026 | 1.8888 | 0.248 |
- Rows × columns
- 12 × 5
- Period covered
- to
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ex_date |
date | 2023-12-15 to 2026-09-18 | |
ex_date_label |
text | 12 distinct values (Dec 15, 2023, Dec 19, 2025, Dec 20, 2024…) | |
pay_date_label |
text | 12 distinct values (Apr 30, 2024, Apr 30, 2025, Apr 30, 2026…) | |
cash_amount |
number | 1.5949 to 1.9934 | |
pct_of_price |
number | 0.248 to 0.406 | percent |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH
divs AS
(
SELECT
ex_dividend_date AS ex_date,
any(pay_date) AS pay_date,
max(toFloat64(cash_amount)) AS cash_amount
FROM global_markets.stocks_dividends
WHERE ticker = 'SPY'
AND ex_dividend_date >= today() - 1095
AND ex_dividend_date < today()
GROUP BY ex_dividend_date
),
px AS
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
toFloat64(argMax(close, window_start)) AS close_px
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 1105
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY d
)
SELECT
toString(divs.ex_date) AS ex_date,
formatDateTime(divs.ex_date, '%b %e, %Y') AS ex_date_label,
formatDateTime(divs.pay_date, '%b %e, %Y') AS pay_date_label,
round(divs.cash_amount, 4) AS cash_amount,
round(divs.cash_amount / px.close_px * 100, 3) AS pct_of_price
FROM divs
INNER JOIN px ON px.d = divs.ex_date
ORDER BY ex_date