Basket median dividend yield by month, with the 10-year Treasury yield
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 2026-10-08, from Average Dividend Yield by Sector: 2026 Data.
| month | month_label | basket_median_yield_pct | treasury_10y_pct |
|---|---|---|---|
| 2023-10 | Oct 2023 | 3.21 | 4.8 |
| 2023-11 | Nov 2023 | 3.03 | 4.5 |
| 2023-12 | Dec 2023 | 2.85 | 4.02 |
| 2024-01 | Jan 2024 | 2.82 | 4.06 |
| 2024-02 | Feb 2024 | 2.83 | 4.21 |
| 2024-03 | Mar 2024 | 2.77 | 4.21 |
| 2024-04 | Apr 2024 | 2.71 | 4.54 |
| 2024-05 | May 2024 | 2.69 | 4.48 |
| 2024-06 | Jun 2024 | 2.8 | 4.31 |
| 2024-07 | Jul 2024 | 2.72 | 4.25 |
| 2024-08 | Aug 2024 | 2.53 | 3.87 |
| 2024-09 | Sep 2024 | 2.53 | 3.72 |
| 2024-10 | Oct 2024 | 2.54 | 4.1 |
| 2024-11 | Nov 2024 | 2.56 | 4.36 |
| 2024-12 | Dec 2024 | 2.79 | 4.39 |
| 2025-01 | Jan 2025 | 2.79 | 4.63 |
| 2025-02 | Feb 2025 | 2.71 | 4.45 |
| 2025-03 | Mar 2025 | 2.77 | 4.28 |
| 2025-04 | Apr 2025 | 2.9 | 4.28 |
| 2025-05 | May 2025 | 2.85 | 4.42 |
| 2025-06 | Jun 2025 | 2.85 | 4.38 |
| 2025-07 | Jul 2025 | 2.91 | 4.39 |
| 2025-08 | Aug 2025 | 2.85 | 4.26 |
| 2025-09 | Sep 2025 | 2.82 | 4.12 |
| 2025-10 | Oct 2025 | 2.77 | 4.06 |
| 2025-11 | Nov 2025 | 2.69 | 4.09 |
| 2025-12 | Dec 2025 | 2.84 | 4.14 |
| 2026-01 | Jan 2026 | 2.41 | 4.21 |
| 2026-02 | Feb 2026 | 2.36 | 4.13 |
| 2026-03 | Mar 2026 | 2.43 | 4.25 |
| 2026-04 | Apr 2026 | 2.54 | 4.32 |
| 2026-05 | May 2026 | 2.63 | 4.48 |
| 2026-06 | Jun 2026 | 2.63 | 4.47 |
| 2026-07 | Jul 2026 | 2.47 | 4.6 |
| 2026-08 | Aug 2026 | 2.35 | 4.68 |
| 2026-09 | Sep 2026 | 2.47 | 4.99 |
- Rows × columns
- 36 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
month |
text | 36 distinct values (2023-10, 2023-11, 2023-12…) | |
month_label |
text | 36 distinct values (Apr 2024, Apr 2025, Apr 2026…) | |
basket_median_yield_pct |
number | 2.35 to 3.21 | percent |
treasury_10y_pct |
number | 3.72 to 4.99 | 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.
WITH
basket AS
(
SELECT
pair.1 AS ticker,
pair.2 AS sector
FROM
(
SELECT arrayJoin([
('XOM', 'Energy'), ('CVX', 'Energy'), ('COP', 'Energy'), ('SLB', 'Energy'),
('JPM', 'Financials'), ('BAC', 'Financials'), ('GS', 'Financials'), ('BLK', 'Financials'), ('AXP', 'Financials'),
('JNJ', 'Health Care'), ('ABBV', 'Health Care'), ('MRK', 'Health Care'), ('AMGN', 'Health Care'), ('GILD', 'Health Care'),
('KO', 'Staples'), ('PG', 'Staples'), ('PEP', 'Staples'), ('COST', 'Staples'), ('CL', 'Staples'),
('DUK', 'Utilities'), ('SO', 'Utilities'), ('AEP', 'Utilities'), ('NEE', 'Utilities'), ('XEL', 'Utilities'),
('AAPL', 'Tech'), ('MSFT', 'Tech'), ('AVGO', 'Tech'), ('CSCO', 'Tech'), ('ADBE', 'Tech'),
('CAT', 'Industrials'), ('HON', 'Industrials'), ('UNP', 'Industrials'), ('GE', 'Industrials'), ('LMT', 'Industrials'),
('HD', 'Discretionary'), ('MCD', 'Discretionary'), ('AMZN', 'Discretionary'), ('TSLA', 'Discretionary'), ('SBUX', 'Discretionary'),
('LIN', 'Materials'), ('SHW', 'Materials'), ('NEM', 'Materials'), ('DOW', 'Materials'),
('VZ', 'Communication'), ('T', 'Communication'), ('CMCSA', 'Communication'), ('GOOGL', 'Communication'), ('NFLX', 'Communication'),
('AMT', 'Real Estate'), ('PLD', 'Real Estate'), ('PSA', 'Real Estate'), ('SPG', 'Real Estate')
]) AS pair
)
),
month_px AS
(
SELECT
ticker,
toStartOfMonth(date) AS m,
max(date) AS last_session,
argMax(toFloat64(close), date) AS month_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN (SELECT ticker FROM basket)
AND date >= toStartOfMonth(today()) - 1095
AND date < toStartOfMonth(today())
GROUP BY ticker, m
),
div_rate AS
(
SELECT
ticker,
ex_dividend_date,
max(toFloat64(cash_amount) * toFloat64(frequency)) AS annual_rate
FROM global_markets.stocks_dividends
WHERE ticker IN (SELECT ticker FROM basket)
AND ex_dividend_date >= toStartOfMonth(today()) - 1460
AND frequency > 0
AND cash_amount > 0
GROUP BY ticker, ex_dividend_date
),
name_month AS
(
SELECT
p.m AS m,
p.ticker AS ticker,
round(100 * d.annual_rate / p.month_close, 3) AS yield_pct
FROM month_px AS p
ASOF LEFT JOIN div_rate AS d
ON p.ticker = d.ticker AND p.last_session >= d.ex_dividend_date
),
ust AS
(
SELECT
toStartOfMonth(date) AS m,
round(avg(toFloat64(yield_10_year)), 2) AS treasury_10y_pct
FROM global_markets.treasury_yields
WHERE date >= toStartOfMonth(today()) - 1095
AND date < toStartOfMonth(today())
AND yield_10_year > 0
GROUP BY m
)
SELECT
formatDateTime(n.m, '%Y-%m') AS month,
formatDateTime(n.m, '%b %Y') AS month_label,
round(quantileDeterministicIf(0.5)(n.yield_pct, cityHash64(n.ticker), n.yield_pct > 0), 2) AS basket_median_yield_pct,
any(t.treasury_10y_pct) AS treasury_10y_pct
FROM name_month AS n
INNER JOIN ust AS t ON t.m = n.m
GROUP BY n.m
HAVING countIf(n.yield_pct > 0) > 0
ORDER BY n.m
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