ko_trace
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 2026-11-01, from what-is-income.
| ex_date | cash_per_share | usd_on_500_stake | ex_date_pretty |
|---|---|---|---|
| 2022-11-30 | 0.44 | 3.52 | Nov 30, 2022 |
| 2023-03-16 | 0.46 | 3.68 | Mar 16, 2023 |
| 2023-06-15 | 0.46 | 3.68 | Jun 15, 2023 |
| 2023-09-14 | 0.46 | 3.68 | Sep 14, 2023 |
| 2023-11-30 | 0.46 | 3.68 | Nov 30, 2023 |
| 2024-03-14 | 0.485 | 3.88 | Mar 14, 2024 |
| 2024-06-14 | 0.485 | 3.88 | Jun 14, 2024 |
| 2024-09-13 | 0.485 | 3.88 | Sep 13, 2024 |
| 2024-11-29 | 0.485 | 3.88 | Nov 29, 2024 |
| 2025-03-14 | 0.51 | 4.08 | Mar 14, 2025 |
| 2025-06-13 | 0.51 | 4.08 | Jun 13, 2025 |
| 2025-09-15 | 0.51 | 4.08 | Sep 15, 2025 |
| 2025-12-01 | 0.51 | 4.08 | Dec 1, 2025 |
| 2026-03-13 | 0.53 | 4.24 | Mar 13, 2026 |
| 2026-06-15 | 0.53 | 4.24 | Jun 15, 2026 |
| 2026-09-15 | 0.53 | 4.24 | Sep 15, 2026 |
- Rows × columns
- 16 × 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 |
|---|---|---|---|
ex_date |
date | 2022-11-30 to 2026-09-15 | |
cash_per_share |
number | 0.44 to 0.53 | |
usd_on_500_stake |
number | 3.52 to 4.24 | US dollars |
ex_date_pretty |
text | 16 distinct values (Dec 1, 2025, Jun 13, 2025, Jun 14, 2024…) |
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_dividend_date) AS ex_date,
round(d.cash_per_share, 4) AS cash_per_share,
round(d.cash_per_share * p.shares, 2) AS usd_on_500_stake,
formatDateTime(d.ex_dividend_date, '%b %e, %Y') AS ex_date_pretty
FROM
(
SELECT
ex_dividend_date,
toFloat64(max(cash_amount)) AS cash_per_share
FROM global_markets.stocks_dividends
WHERE ticker = 'KO'
AND ex_dividend_date >= today() - 1500
AND ex_dividend_date < today()
GROUP BY ex_dividend_date
) AS d
CROSS JOIN
(
SELECT floor(500 / argMin(toFloat64(close), date)) AS shares
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'KO'
AND date >= today() - 1500
AND date < today() - 1460
) AS p
ORDER BY d.ex_dividend_date
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.