STRASMORE/EXPLORE 2,433 QUERIES

AAPL: quarter-end snapshot price vs the price on the 13F deadline

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 2026-08-06, from When Are 13F Filings Due? 2026 Deadlines.

as of series 8×7read in context →
AAPL: quarter-end snapshot price vs the price on the 13F deadline — 8 rows by 7 columns, computed from US exchange, SIP and OPRA data.
quartersnapshot_datefiling_deadlineclose_at_snapshotclose_at_deadlinemove_pctabs_move_pct
Q2 2024Jun 30, 2024Aug 14, 2024210.61221.615.25.2
Q3 2024Sep 30, 2024Nov 14, 2024233228.19-2.12.1
Q4 2024Dec 31, 2024Feb 14, 2025250.38244.57-2.32.3
Q1 2025Mar 31, 2025May 15, 2025222211.45-4.84.8
Q2 2025Jun 30, 2025Aug 14, 2025205.12232.8313.513.5
Q3 2025Sep 30, 2025Nov 14, 2025254.56272.67.17.1
Q4 2025Dec 31, 2025Feb 17, 2026271.84263.75-33
Q1 2026Mar 31, 2026May 15, 2026253.79300.2618.318.3
Rows × columns
8 × 7
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 AAPL: quarter-end snapshot price vs the price on the 13F deadline, derived from the stored result.
ColumnTypeRangeNotes
quarter text 8 distinct values (Q1 2025, Q1 2026, Q2 2024…)
snapshot_date text 8 distinct values (Dec 31, 2024, Dec 31, 2025, Jun 30, 2024…)
filing_deadline text 8 distinct values (Aug 14, 2024, Aug 14, 2025, Feb 14, 2025…)
close_at_snapshot number 205.12 to 271.84 US dollars
close_at_deadline number 211.45 to 300.26 US dollars
move_pct number -4.8 to 18.3 percent
abs_move_pct number 2.1 to 18.3 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('Q', toString(toQuarter(as_of)), ' ', toString(toYear(as_of))) AS quarter,
    formatDateTime(as_of, '%b %e, %Y')                  AS snapshot_date,
    formatDateTime(deadline, '%b %e, %Y')               AS filing_deadline,
    round(toFloat64(argMaxIf(px, d, d <= as_of)), 2)    AS close_at_snapshot,
    round(toFloat64(argMaxIf(px, d, d <= deadline)), 2) AS close_at_deadline,
    round(100 * ((close_at_deadline / close_at_snapshot) - 1), 1) AS move_pct,
    abs(move_pct)                                       AS abs_move_pct
FROM
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS d,
        argMax(close, window_start)                          AS px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'AAPL'
      AND window_start >= '2024-06-20'
      AND window_start <  '2026-05-16'
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
    GROUP BY d
) AS tape
CROSS JOIN
(
    SELECT
        as_of,
        arrayFilter(
            x -> (toDayOfWeek(x) <= 5)
                 AND NOT has([toDate('2024-07-04'), toDate('2024-09-02'), toDate('2024-11-11'),
                              toDate('2024-11-28'), toDate('2024-12-25'), toDate('2025-01-01'),
                              toDate('2025-01-20'), toDate('2025-02-17'), toDate('2025-05-26'),
                              toDate('2025-06-19'), toDate('2025-07-04'), toDate('2025-09-01'),
                              toDate('2025-11-11'), toDate('2025-11-27'), toDate('2025-12-25'),
                              toDate('2026-01-01'), toDate('2026-01-19'), toDate('2026-02-16'),
                              toDate('2026-05-25')], x),
            arrayMap(i -> (as_of + 45) + i, range(7))
        )[1] AS deadline
    FROM
    (
        SELECT arrayJoin([toDate('2024-06-30'), toDate('2024-09-30'), toDate('2024-12-31'),
                          toDate('2025-03-31'), toDate('2025-06-30'), toDate('2025-09-30'),
                          toDate('2025-12-31'), toDate('2026-03-31')]) AS as_of
    )
) AS cal
GROUP BY as_of, deadline
HAVING countIf(d <= as_of) > 0 AND countIf(d <= deadline) > 0
ORDER BY as_of
⌘/Ctrl + Enter
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