distribution_history
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 2026-09-30, from how-to-invest-in-the-dax.
| date | ex_date_label | cash_per_share | pct_of_price |
|---|---|---|---|
| 2018-06-19 | Jun 19, 2018 | 0.7437 | 2.41 |
| 2019-06-17 | Jun 17, 2019 | 0.7381 | 2.74 |
| 2020-06-15 | Jun 15, 2020 | 0.2798 | 1.04 |
| 2020-12-14 | Dec 14, 2020 | 0.2493 | 0.81 |
| 2021-06-10 | Jun 10, 2021 | 0.6034 | 1.7 |
| 2021-12-13 | Dec 13, 2021 | 0.0358 | 0.11 |
| 2021-12-30 | Dec 30, 2021 | 0.2473 | 0.75 |
| 2022-06-09 | Jun 9, 2022 | 0.7919 | 3.09 |
| 2022-12-13 | Dec 13, 2022 | 0.0086 | 0.03 |
| 2023-06-07 | Jun 7, 2023 | 0.7587 | 2.75 |
| 2023-12-20 | Dec 20, 2023 | 0.0015 | 0.01 |
| 2024-06-11 | Jun 11, 2024 | 0.7585 | 2.47 |
| 2025-06-16 | Jun 16, 2025 | 0.6793 | 1.65 |
| 2026-06-15 | Jun 15, 2026 | 0.8316 | 1.99 |
- Rows × columns
- 14 × 4
- 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 |
|---|---|---|---|
date |
date | 2018-06-19 to 2026-06-15 | |
ex_date_label |
text | 14 distinct values (Dec 13, 2021, Dec 13, 2022, Dec 14, 2020…) | |
cash_per_share |
number | 0.0015 to 0.8316 | |
pct_of_price |
number | 0.01 to 3.09 | 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.
SELECT
toString(d.ex_date) AS date,
formatDateTime(d.ex_date, '%b %e, %Y') AS ex_date_label,
round(d.cash_per_share, 4) AS cash_per_share,
round(100 * d.cash_per_share / toFloat64(p.close), 2) AS pct_of_price
FROM
(
SELECT
ex_dividend_date AS ex_date,
max(toFloat64(cash_amount)) AS cash_per_share
FROM global_markets.stocks_dividends
WHERE ticker = 'EWG'
AND ex_dividend_date >= '2018-01-01'
GROUP BY ex_dividend_date
) AS d
INNER JOIN
(
SELECT date, close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'EWG'
AND date >= '2018-01-01'
) AS p ON p.date = d.ex_date
ORDER BY date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.