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The biggest names going ex-dividend on July 1, ranked by the day's dollar volume

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 Market Recap: July 1, 2026, The Day in Numbers.

as of table 8×7read in context →
The biggest names going ex-dividend on July 1, ranked by the day's dollar volume — 8 rows by 7 columns, computed from US exchange, SIP and OPRA data.
tickercash_per_sharepayments_per_yearday_closepct_of_priceannualized_yield_pctday_dollar_bn
SGOV0.295812100.40.293.543.5
HYG0.36881279.620.465.562.77
LQD0.381512108.460.354.222.57
TLT0.3181285.520.374.462.01
BITO0.0104128.140.131.531.84
BND0.24451273.040.334.021.51
BIL0.26761291.390.293.511.47
VCIT0.33191282.180.44.850.93
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 The biggest names going ex-dividend on July 1, ranked by the day's dollar volume, derived from the stored result.
ColumnTypeRangeNotes
ticker text 8 distinct values (BIL, BITO, BND…)
cash_per_share number 0.0104 to 0.3815
payments_per_year number every row is 12
day_close number 8.14 to 108.46 US dollars
pct_of_price number 0.13 to 0.46 percent
annualized_yield_pct number 1.53 to 5.56 percent
day_dollar_bn number 0.93 to 3.5

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 divs AS (
    SELECT ticker, max(toFloat64(cash_amount)) AS cash, max(frequency) AS freq
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date = '2026-07-01' AND distribution_type = 'recurring'
    GROUP BY ticker
),
tape AS (
    SELECT ticker,
           sum(toFloat64(close) * toFloat64(volume)) AS dollar_volume,
           toFloat64(argMax(close, (window_start, close))) AS day_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
)
SELECT
    d.ticker AS ticker,
    round(d.cash, 4) AS cash_per_share,
    d.freq AS payments_per_year,
    round(t.day_close, 2) AS day_close,
    round(100 * d.cash / t.day_close, 2) AS pct_of_price,
    round(100 * d.cash * d.freq / t.day_close, 2) AS annualized_yield_pct,
    round(t.dollar_volume / 1e9, 2) AS day_dollar_bn
FROM divs d JOIN tape t ON d.ticker = t.ticker
WHERE t.dollar_volume > 0 AND d.cash > 0
ORDER BY t.dollar_volume DESC
LIMIT 8

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