yield_berjalan
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 dividend-yield-for-indonesian-investors.
| kuartal | yield_trailing_pct | yield_rutin_pct |
|---|---|---|
| 2023-Q1 | 0.72 | 0.72 |
| 2023-Q2 | 0.69 | 0.69 |
| 2023-Q3 | 0.68 | 0.68 |
| 2023-Q4 | 2.87 | 0.6 |
| 2024-Q1 | 2.6 | 0.56 |
| 2024-Q2 | 2.26 | 0.5 |
| 2024-Q3 | 2.18 | 0.49 |
| 2024-Q4 | 0.49 | 0.49 |
| 2025-Q1 | 0.49 | 0.49 |
| 2025-Q2 | 0.48 | 0.48 |
| 2025-Q3 | 0.53 | 0.53 |
| 2025-Q4 | 0.59 | 0.59 |
- Rows × columns
- 12 × 3
- 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 |
|---|---|---|---|
kuartal |
text | 12 distinct values (2023-Q1, 2023-Q2, 2023-Q3…) | |
yield_trailing_pct |
number | 0.48 to 2.87 | percent |
yield_rutin_pct |
number | 0.48 to 0.72 | 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
concat(toString(toYear(px.hari)), '-Q', toString(toQuarter(px.hari))) AS kuartal,
round(100 * sumIf(toFloat64(dv.cash_amount),
dv.ex_dividend_date > px.hari - 365
AND dv.ex_dividend_date <= px.hari) / toFloat64(px.harga), 2) AS yield_trailing_pct,
round(100 * sumIf(toFloat64(dv.cash_amount),
dv.ex_dividend_date > px.hari - 365
AND dv.ex_dividend_date <= px.hari
AND dv.cash_amount < 5) / toFloat64(px.harga), 2) AS yield_rutin_pct
FROM
(
SELECT
toStartOfQuarter(date) AS kuartal_mulai,
max(date) AS hari,
argMax(close, date) AS harga
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'COST'
AND date >= '2023-01-01'
AND date < '2026-01-01'
GROUP BY kuartal_mulai
) AS px
CROSS JOIN
(
SELECT
ex_dividend_date,
cash_amount
FROM global_markets.stocks_dividends
WHERE ticker = 'COST'
AND ex_dividend_date >= '2021-06-01'
AND ex_dividend_date < '2026-01-01'
AND cash_amount > 0
) AS dv
GROUP BY kuartal, px.harga
ORDER BY kuartal
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