STRASMORE/EXPLORE 3,256 QUERIES

Intel (INTC): month-end price, quarterly dividend, and quoted yield, Jan 2021 to Jun 2024

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 What Is a Good Dividend Yield in 2026?.

as of series 42×5read in context →
Intel (INTC): month-end price, quarterly dividend, and quoted yield, Jan 2021 to Jun 2024 — 42 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelpricequarterly_dividend_usddividend_yield_pct
2021-01January 202155.480.332.38
2021-02February 202160.680.34752.29
2021-03March 202164.010.34752.17
2021-04April 202157.560.34752.41
2021-05May 202157.120.34752.43
2021-06June 202156.130.34752.48
2021-07July 202153.720.34752.59
2021-08August 202154.070.34752.57
2021-09September 202153.260.34752.61
2021-10October 2021490.34752.84
2021-11November 202149.190.34752.83
2021-12December 202151.50.34752.7
2022-01January 202248.820.34752.85
2022-02February 202247.710.3653.06
2022-03March 202249.510.3652.95
2022-04April 202243.590.3653.35
2022-05May 202244.420.3653.29
2022-06June 202237.440.3653.9
2022-07July 202236.290.3654.02
2022-08August 202231.910.3654.58
2022-09September 202225.790.3655.66
2022-10October 202228.440.3655.13
2022-11November 202230.070.3654.86
2022-12December 202226.420.3655.53
2023-01January 202328.280.3655.16
2023-02February 202324.910.3655.86
2023-03March 202332.660.3654.47
2023-04April 202331.090.3654.7
2023-05May 202331.480.1251.59
2023-06June 202333.410.1251.5
2023-07July 202335.80.1251.4
2023-08August 202335.160.1251.42
2023-09September 202335.510.1251.41
2023-10October 202336.50.1251.37
2023-11November 202344.730.1251.12
2023-12December 202350.260.1250.99
2024-01January 202443.090.1251.16
2024-02February 202443.020.1251.16
2024-03March 202444.140.1251.13
2024-04April 202430.440.1251.64
2024-05May 202430.890.1251.62
2024-06June 202430.940.1251.62
Rows × columns
42 × 5
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 Intel (INTC): month-end price, quarterly dividend, and quoted yield, Jan 2021 to Jun 2024, derived from the stored result.
ColumnTypeRangeNotes
month text 42 distinct values (2021-01, 2021-02, 2021-03…)
month_label text 42 distinct values (April 2021, April 2022, April 2023…)
price number 24.91 to 64.01 US dollars
quarterly_dividend_usd number 0.125 to 0.365 US dollars
dividend_yield_pct number 0.99 to 5.86 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 px AS (
    SELECT toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York'))) AS month_start,
           argMax(close, window_start) AS price,
           max(toDate(toTimeZone(window_start, 'America/New_York'))) AS last_day
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'INTC'
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2021-01-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2024-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY month_start
),
dv AS (
    SELECT ex_dividend_date, cash_amount
    FROM global_markets.stocks_dividends
    WHERE ticker = 'INTC'
      AND distribution_type = 'recurring'
      AND frequency = 4
      AND cash_amount > 0
      AND ex_dividend_date >= toDate('2020-01-01')
)
SELECT formatDateTime(px.month_start, '%Y-%m') AS month,
       formatDateTimeInJodaSyntax(px.month_start, 'MMMM yyyy') AS month_label,
       round(any(px.price), 2) AS price,
       round(argMax(dv.cash_amount, dv.ex_dividend_date), 4) AS quarterly_dividend_usd,
       round(argMax(dv.cash_amount, dv.ex_dividend_date) * 4 / any(px.price) * 100, 2) AS dividend_yield_pct
FROM px, dv
WHERE dv.ex_dividend_date <= px.last_day
GROUP BY px.month_start
ORDER BY px.month_start
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