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SCHD and VOO annualized dividend yield: twelve month-ends through July 2026

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 2026-08-22, from SCHD vs VOO: Why the Dividend Yields Differ.

as of series 12×5read in context →
SCHD and VOO annualized dividend yield: twelve month-ends through July 2026 — 12 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelschd_yield_pctvoo_yield_pctgap_pct
2025-08August 20253.731.182.55
2025-09September 20253.821.142.68
2025-10October 20253.91.112.79
2025-11November 20253.781.112.67
2025-12December 20254.051.132.92
2026-01January 20263.731.112.62
2026-02February 20263.51.122.38
2026-03March 20263.351.252.1
2026-04April 20263.21.132.07
2026-05May 20263.161.082.09
2026-06June 20263.191.142.04
2026-07July 20263.021.141.88
Rows × columns
12 × 5
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 SCHD and VOO annualized dividend yield: twelve month-ends through July 2026, derived from the stored result.
ColumnTypeRangeNotes
month date 2025-08 to 2026-07
month_label text 12 distinct values (April 2026, August 2025, December 2025…)
schd_yield_pct number 3.02 to 4.05 percent
voo_yield_pct number 1.08 to 1.25 percent
gap_pct number 1.88 to 2.92 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 px AS (
    SELECT ticker,
           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 IN ('SCHD', 'VOO')
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2025-08-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-07-31')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker, month_start
),
dv AS (
    SELECT ticker, ex_dividend_date, cash_amount
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('SCHD', 'VOO')
      AND cash_amount > 0
      AND ex_dividend_date >= toDate('2024-12-01')
),
latest AS (
    SELECT px.ticker AS ticker,
           px.month_start AS month_start,
           any(px.price) AS price,
           argMax(dv.cash_amount, dv.ex_dividend_date) AS latest_payment
    FROM px, dv
    WHERE px.ticker = dv.ticker
      AND dv.ex_dividend_date <= px.last_day
    GROUP BY px.ticker, px.month_start
)
SELECT formatDateTime(month_start, '%Y-%m') AS month,
       formatDateTimeInJodaSyntax(month_start, 'MMMM yyyy') AS month_label,
       round(sumIf(latest_payment * 4 / price * 100, ticker = 'SCHD'), 2) AS schd_yield_pct,
       round(sumIf(latest_payment * 4 / price * 100, ticker = 'VOO'), 2) AS voo_yield_pct,
       round(sumIf(latest_payment * 4 / price * 100, ticker = 'SCHD')
             - sumIf(latest_payment * 4 / price * 100, ticker = 'VOO'), 2) AS gap_pct
FROM latest
GROUP BY month_start
ORDER BY month_start

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