STRASMORE/EXPLORE 3,022 QUERIES

ko_per_share

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 2026-10-04, from us-dividend-tax-for-nigerian-investors.

as of series 15×4read in context →
ko_per_share — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_date_labelgross_per_sharenet_per_share
2023-03-16Mar 16, 20230.460.322
2023-06-15Jun 15, 20230.460.322
2023-09-14Sep 14, 20230.460.322
2023-11-30Nov 30, 20230.460.322
2024-03-14Mar 14, 20240.4850.3395
2024-06-14Jun 14, 20240.4850.3395
2024-09-13Sep 13, 20240.4850.3395
2024-11-29Nov 29, 20240.4850.3395
2025-03-14Mar 14, 20250.510.357
2025-06-13Jun 13, 20250.510.357
2025-09-15Sep 15, 20250.510.357
2025-12-01Dec 1, 20250.510.357
2026-03-13Mar 13, 20260.530.371
2026-06-15Jun 15, 20260.530.371
2026-09-15Sep 15, 20260.530.371
Rows × columns
15 × 4
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for ko_per_share, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2023-03-16 to 2026-09-15
ex_date_label text 15 distinct values (Dec 1, 2025, Jun 13, 2025, Jun 14, 2024…)
gross_per_share number 0.46 to 0.53
net_per_share number 0.322 to 0.371

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(ex_dividend_date)                     AS ex_date,
    formatDateTime(ex_dividend_date, '%b %e, %Y')  AS ex_date_label,
    round(any(toFloat64(cash_amount)), 4)          AS gross_per_share,
    round(any(toFloat64(cash_amount)) * 0.70, 4)   AS net_per_share
FROM global_markets.stocks_dividends
WHERE ticker = 'KO'
  AND currency = 'USD'
  AND cash_amount > 0
  AND ex_dividend_date >= '2023-01-01'
  AND ex_dividend_date <= today()
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
⌘/Ctrl + Enter

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