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SPY monthly close-to-close returns: twelve months ending June 2026, simple and log

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 2026-07-26, from How Monthly Stock Returns Are Measured.

as of series 12×4read in context →
SPY monthly close-to-close returns: twelve months ending June 2026, simple and log — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthmonth_final_closesimple_return_pctlog_return_pct
2025-07631.972.282.25
2025-08645.042.072.05
2025-09666.113.273.21
2025-10681.992.382.36
2025-11683.390.210.21
2025-12681.84-0.23-0.23
2026-01691.851.471.46
2026-02686.23-0.81-0.82
2026-03650.24-5.25-5.39
2026-04718.4310.499.97
2026-05756.45.295.15
2026-06746.32-1.33-1.34
Rows × columns
12 × 4
Period covered
to
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 SPY monthly close-to-close returns: twelve months ending June 2026, simple and log, derived from the stored result.
ColumnTypeRangeNotes
month date 2025-07 to 2026-06
month_final_close number 631.97 to 756.4 US dollars
simple_return_pct number -5.25 to 10.49 percent
log_return_pct number -5.39 to 9.97 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.

the exact SQL behind every number
WITH daily AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS day,
           argMaxIf(toFloat64(close), window_start,
               toTimeZone(window_start, 'America/New_York') >= toDateTime(concat(toString(toDate(toTimeZone(window_start, 'America/New_York'))), ' 09:30:00'), 'America/New_York')
               AND toTimeZone(window_start, 'America/New_York') < toDateTime(concat(toString(toDate(toTimeZone(window_start, 'America/New_York'))), ' 16:00:00'), 'America/New_York')) AS cl
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= '2025-06-24 04:00:00'
      AND window_start < '2026-07-01 08:00:00'
    GROUP BY day
),
monthly AS (
    SELECT toStartOfMonth(day) AS month_start,
           argMax(cl, day) AS month_close
    FROM daily
    GROUP BY month_start
),
rets AS (
    SELECT month_start,
           formatDateTime(month_start, '%Y-%m') AS month,
           round(month_close, 2) AS month_final_close,
           100 * (month_close / lagInFrame(month_close) OVER (ORDER BY month_start) - 1) AS r
    FROM monthly
)
SELECT month,
       month_final_close,
       round(r, 2) AS simple_return_pct,
       round(100 * log(1 + r / 100), 2) AS log_return_pct
FROM rets
WHERE isFinite(r)
ORDER BY month_start

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