pep_yield_by_month
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 pep-dividend-2026.
| month | low_price | high_price | yield_pct |
|---|---|---|---|
| 2026-01 | 136.01 | 153.89 | 4.1 |
| 2026-02 | 153.19 | 171.48 | 3.56 |
| 2026-03 | 149.03 | 169.54 | 3.77 |
| 2026-04 | 151.75 | 160.03 | 3.8 |
| 2026-05 | 143.55 | 160 | 3.93 |
| 2026-06 | 134.94 | 147.64 | 4.17 |
| 2026-07 | 133.73 | 149.04 | 4.25 |
| 2026-08 | 136.73 | 145.9 | 4.22 |
| 2026-09 | 126.42 | 141.71 | 4.43 |
- Rows × columns
- 9 × 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 |
|---|---|---|---|
month |
text | 9 distinct values (2026-01, 2026-02, 2026-03…) | |
low_price |
number | 126.42 to 153.19 | US dollars |
high_price |
number | 141.71 to 171.48 | US dollars |
yield_pct |
number | 3.56 to 4.43 | 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.
WITH
(
SELECT toFloat64(4 * max(cash_amount))
FROM global_markets.stocks_dividends
WHERE ticker = 'PEP'
AND ex_dividend_date >= '2026-01-01'
AND ex_dividend_date < '2027-01-01'
) AS indicated_rate
SELECT
formatDateTime(toStartOfMonth(date), '%Y-%m') AS month,
round(min(low), 2) AS low_price,
round(max(high), 2) AS high_price,
round(100 * indicated_rate / toFloat64(avg(close)), 2) AS yield_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'PEP'
AND date >= '2026-01-01'
AND date < '2027-01-01'
GROUP BY month
ORDER BY month
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