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Trailing yield by sector fund: twelve months of distributions over the late-July 2026 price

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 What Is a Good Dividend Yield in 2026?.

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Trailing yield by sector fund: twelve months of distributions over the late-July 2026 price — 11 rows by 4 columns, computed from US exchange, SIP and OPRA data.
sectorfund_tickerannual_distributions_usdtrailing_yield_pct
UtilitiesXLU1.4793.31
EnergyXLE1.8923.21
Real estateXLRE1.4053.1
Consumer staplesXLP2.1972.57
MaterialsXLB1.0632.06
Health careXLV2.5331.55
FinancialsXLF0.8071.42
CommunicationsXLC1.4311.34
IndustrialsXLI2.0591.15
Consumer discretionaryXLY1.1150.99
TechnologyXLK0.9720.55
Rows × columns
11 × 4
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 Trailing yield by sector fund: twelve months of distributions over the late-July 2026 price, derived from the stored result.
ColumnTypeRangeNotes
sector text 11 distinct values
fund_ticker text 11 distinct values (XLB, XLC, XLE…)
annual_distributions_usd number 0.807 to 2.533 US dollars
trailing_yield_pct number 0.55 to 3.31 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,
           argMax(close, window_start) AS price
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('XLU','XLRE','XLP','XLE','XLF','XLV','XLB','XLI','XLC','XLY','XLK')
      AND window_start >= toDateTime('2026-07-20 00:00:00')
      AND window_start < toDateTime('2026-07-31 00:00:00')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker
),
dv AS (
    SELECT ticker,
           sum(cash_amount) AS ttm_distributions
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('XLU','XLRE','XLP','XLE','XLF','XLV','XLB','XLI','XLC','XLY','XLK')
      AND cash_amount > 0
      AND ex_dividend_date > toDate('2025-07-30')
      AND ex_dividend_date <= toDate('2026-07-30')
    GROUP BY ticker
)
SELECT transform(px.ticker,
                 ['XLU','XLRE','XLP','XLE','XLF','XLV','XLB','XLI','XLC','XLY','XLK'],
                 ['Utilities','Real estate','Consumer staples','Energy','Financials',
                  'Health care','Materials','Industrials','Communications',
                  'Consumer discretionary','Technology'],
                 'Other') AS sector,
       px.ticker AS fund_ticker,
       round(dv.ttm_distributions, 3) AS annual_distributions_usd,
       round(dv.ttm_distributions / px.price * 100, 2) AS trailing_yield_pct
FROM px
INNER JOIN dv ON px.ticker = dv.ticker
ORDER BY trailing_yield_pct DESC

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