cy_vs_fy
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 msft-dividend-2026.
| basis | payments | dividends_per_share | ex_dates_counted |
|---|---|---|---|
| Calendar 2026 | 4 | 3.71 | ex-dates Jan 1 to Dec 31, 2026 |
| Fiscal 2026 | 4 | 3.56 | ex-dates Jul 1, 2025 to Jun 30, 2026 |
- Rows × columns
- 2 × 4
- 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 |
|---|---|---|---|
basis |
text | 2 distinct values (Calendar 2026, Fiscal 2026) | |
payments |
number | every row is 4 | |
dividends_per_share |
number | 3.56 to 3.71 | |
ex_dates_counted |
text | 2 distinct values |
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
tupleElement(slice, 1) AS basis,
tupleElement(slice, 2) AS payments,
tupleElement(slice, 3) AS dividends_per_share,
tupleElement(slice, 4) AS ex_dates_counted
FROM
(
SELECT arrayJoin([
('Calendar 2026',
countIf(in_calendar_2026),
round(sumIf(dividend, in_calendar_2026), 2),
'ex-dates Jan 1 to Dec 31, 2026'),
('Fiscal 2026',
countIf(in_fiscal_2026),
round(sumIf(dividend, in_fiscal_2026), 2),
'ex-dates Jul 1, 2025 to Jun 30, 2026')
]) AS slice
FROM
(
SELECT
ex_dividend_date,
toFloat64(any(cash_amount)) AS dividend,
ex_dividend_date >= toDate('2026-01-01') AND ex_dividend_date < toDate('2027-01-01') AS in_calendar_2026,
ex_dividend_date >= toDate('2025-07-01') AND ex_dividend_date < toDate('2026-07-01') AS in_fiscal_2026
FROM global_markets.stocks_dividends
WHERE ticker = 'MSFT'
AND ex_dividend_date >= toDate('2025-07-01')
AND ex_dividend_date < toDate('2027-01-01')
GROUP BY ex_dividend_date
)
)
ORDER BY basis