dividenden_pflicht
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 long-vs-short-positions.
| ticker | dividends_per_share | payments | yield_pct |
|---|---|---|---|
| PG | 4.29 | 4 | 2.96 |
| XOM | 4.12 | 4 | 2.51 |
| KO | 2.1 | 4 | 2.45 |
| JNJ | 5.28 | 4 | 2.06 |
| MSFT | 3.64 | 4 | 0.7 |
| AAPL | 1.06 | 4 | 0.32 |
- Rows × columns
- 6 × 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 |
|---|---|---|---|
ticker |
text | 6 distinct values (AAPL, JNJ, KO…) | |
dividends_per_share |
number | 1.06 to 5.28 | |
payments |
number | every row is 4 | |
yield_pct |
number | 0.32 to 2.96 | 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
d.ticker AS ticker,
round(d.dividends_12m, 2) AS dividends_per_share,
d.payments AS payments,
round(d.dividends_12m / p.last_close * 100, 2) AS yield_pct
FROM
(
SELECT
ticker,
sum(amount) AS dividends_12m,
count() AS payments
FROM
(
SELECT
ticker,
id,
max(toFloat64(cash_amount)) AS amount
FROM global_markets.stocks_dividends
WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'JNJ', 'XOM', 'PG')
AND ex_dividend_date >= today() - 365
AND ex_dividend_date <= today()
GROUP BY ticker, id
)
GROUP BY ticker
) AS d
INNER JOIN
(
SELECT
ticker,
toFloat64(argMax(close, date)) AS last_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'JNJ', 'XOM', 'PG')
AND date >= today() - 30
GROUP BY ticker
) AS p ON p.ticker = d.ticker
ORDER BY yield_pct DESC
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