{"slug":"average-dividend-yield-by-sector","qid":"yield_history","label":"Basket median dividend yield by month, with the 10-year Treasury yield","post_title":"Average Dividend Yield by Sector: 2026 Data","post_url":"/blog/average-dividend-yield-by-sector#q-yield_history","columns":["month","month_label","basket_median_yield_pct","treasury_10y_pct"],"rows":[{"month":"2023-10","month_label":"Oct 2023","basket_median_yield_pct":3.21,"treasury_10y_pct":4.8},{"month":"2023-11","month_label":"Nov 2023","basket_median_yield_pct":3.03,"treasury_10y_pct":4.5},{"month":"2023-12","month_label":"Dec 2023","basket_median_yield_pct":2.85,"treasury_10y_pct":4.02},{"month":"2024-01","month_label":"Jan 2024","basket_median_yield_pct":2.82,"treasury_10y_pct":4.06},{"month":"2024-02","month_label":"Feb 2024","basket_median_yield_pct":2.83,"treasury_10y_pct":4.21},{"month":"2024-03","month_label":"Mar 2024","basket_median_yield_pct":2.77,"treasury_10y_pct":4.21},{"month":"2024-04","month_label":"Apr 2024","basket_median_yield_pct":2.71,"treasury_10y_pct":4.54},{"month":"2024-05","month_label":"May 2024","basket_median_yield_pct":2.69,"treasury_10y_pct":4.48},{"month":"2024-06","month_label":"Jun 2024","basket_median_yield_pct":2.8,"treasury_10y_pct":4.31},{"month":"2024-07","month_label":"Jul 2024","basket_median_yield_pct":2.72,"treasury_10y_pct":4.25},{"month":"2024-08","month_label":"Aug 2024","basket_median_yield_pct":2.53,"treasury_10y_pct":3.87},{"month":"2024-09","month_label":"Sep 2024","basket_median_yield_pct":2.53,"treasury_10y_pct":3.72},{"month":"2024-10","month_label":"Oct 2024","basket_median_yield_pct":2.54,"treasury_10y_pct":4.1},{"month":"2024-11","month_label":"Nov 2024","basket_median_yield_pct":2.56,"treasury_10y_pct":4.36},{"month":"2024-12","month_label":"Dec 2024","basket_median_yield_pct":2.79,"treasury_10y_pct":4.39},{"month":"2025-01","month_label":"Jan 2025","basket_median_yield_pct":2.79,"treasury_10y_pct":4.63},{"month":"2025-02","month_label":"Feb 2025","basket_median_yield_pct":2.71,"treasury_10y_pct":4.45},{"month":"2025-03","month_label":"Mar 2025","basket_median_yield_pct":2.77,"treasury_10y_pct":4.28},{"month":"2025-04","month_label":"Apr 2025","basket_median_yield_pct":2.9,"treasury_10y_pct":4.28},{"month":"2025-05","month_label":"May 2025","basket_median_yield_pct":2.85,"treasury_10y_pct":4.42},{"month":"2025-06","month_label":"Jun 2025","basket_median_yield_pct":2.85,"treasury_10y_pct":4.38},{"month":"2025-07","month_label":"Jul 2025","basket_median_yield_pct":2.91,"treasury_10y_pct":4.39},{"month":"2025-08","month_label":"Aug 2025","basket_median_yield_pct":2.85,"treasury_10y_pct":4.26},{"month":"2025-09","month_label":"Sep 2025","basket_median_yield_pct":2.82,"treasury_10y_pct":4.12},{"month":"2025-10","month_label":"Oct 2025","basket_median_yield_pct":2.77,"treasury_10y_pct":4.06},{"month":"2025-11","month_label":"Nov 2025","basket_median_yield_pct":2.69,"treasury_10y_pct":4.09},{"month":"2025-12","month_label":"Dec 2025","basket_median_yield_pct":2.84,"treasury_10y_pct":4.14},{"month":"2026-01","month_label":"Jan 2026","basket_median_yield_pct":2.41,"treasury_10y_pct":4.21},{"month":"2026-02","month_label":"Feb 2026","basket_median_yield_pct":2.36,"treasury_10y_pct":4.13},{"month":"2026-03","month_label":"Mar 2026","basket_median_yield_pct":2.43,"treasury_10y_pct":4.25},{"month":"2026-04","month_label":"Apr 2026","basket_median_yield_pct":2.54,"treasury_10y_pct":4.32},{"month":"2026-05","month_label":"May 2026","basket_median_yield_pct":2.63,"treasury_10y_pct":4.48},{"month":"2026-06","month_label":"Jun 2026","basket_median_yield_pct":2.63,"treasury_10y_pct":4.47},{"month":"2026-07","month_label":"Jul 2026","basket_median_yield_pct":2.47,"treasury_10y_pct":4.6},{"month":"2026-08","month_label":"Aug 2026","basket_median_yield_pct":2.35,"treasury_10y_pct":4.68},{"month":"2026-09","month_label":"Sep 2026","basket_median_yield_pct":2.47,"treasury_10y_pct":4.99}],"shape":"series","sql":"WITH\n    basket AS\n    (\n        SELECT\n            pair.1 AS ticker,\n            pair.2 AS sector\n        FROM\n        (\n            SELECT arrayJoin([\n                ('XOM', 'Energy'), ('CVX', 'Energy'), ('COP', 'Energy'), ('SLB', 'Energy'),\n                ('JPM', 'Financials'), ('BAC', 'Financials'), ('GS', 'Financials'), ('BLK', 'Financials'), ('AXP', 'Financials'),\n                ('JNJ', 'Health Care'), ('ABBV', 'Health Care'), ('MRK', 'Health Care'), ('AMGN', 'Health Care'), ('GILD', 'Health Care'),\n                ('KO', 'Staples'), ('PG', 'Staples'), ('PEP', 'Staples'), ('COST', 'Staples'), ('CL', 'Staples'),\n                ('DUK', 'Utilities'), ('SO', 'Utilities'), ('AEP', 'Utilities'), ('NEE', 'Utilities'), ('XEL', 'Utilities'),\n                ('AAPL', 'Tech'), ('MSFT', 'Tech'), ('AVGO', 'Tech'), ('CSCO', 'Tech'), ('ADBE', 'Tech'),\n                ('CAT', 'Industrials'), ('HON', 'Industrials'), ('UNP', 'Industrials'), ('GE', 'Industrials'), ('LMT', 'Industrials'),\n                ('HD', 'Discretionary'), ('MCD', 'Discretionary'), ('AMZN', 'Discretionary'), ('TSLA', 'Discretionary'), ('SBUX', 'Discretionary'),\n                ('LIN', 'Materials'), ('SHW', 'Materials'), ('NEM', 'Materials'), ('DOW', 'Materials'),\n                ('VZ', 'Communication'), ('T', 'Communication'), ('CMCSA', 'Communication'), ('GOOGL', 'Communication'), ('NFLX', 'Communication'),\n                ('AMT', 'Real Estate'), ('PLD', 'Real Estate'), ('PSA', 'Real Estate'), ('SPG', 'Real Estate')\n            ]) AS pair\n        )\n    ),\n    month_px AS\n    (\n        SELECT\n            ticker,\n            toStartOfMonth(date)           AS m,\n            max(date)                      AS last_session,\n            argMax(toFloat64(close), date) AS month_close\n        FROM global_markets.stocks_daily_aggs\n        WHERE ticker IN (SELECT ticker FROM basket)\n          AND date >= toStartOfMonth(today()) - 1095\n          AND date <  toStartOfMonth(today())\n        GROUP BY ticker, m\n    ),\n    div_rate AS\n    (\n        SELECT\n            ticker,\n            ex_dividend_date,\n            max(toFloat64(cash_amount) * toFloat64(frequency)) AS annual_rate\n        FROM global_markets.stocks_dividends\n        WHERE ticker IN (SELECT ticker FROM basket)\n          AND ex_dividend_date >= toStartOfMonth(today()) - 1460\n          AND frequency > 0\n          AND cash_amount > 0\n        GROUP BY ticker, ex_dividend_date\n    ),\n    name_month AS\n    (\n        SELECT\n            p.m                                               AS m,\n            p.ticker                                          AS ticker,\n            round(100 * d.annual_rate / p.month_close, 3)     AS yield_pct\n        FROM month_px AS p\n        ASOF LEFT JOIN div_rate AS d\n            ON p.ticker = d.ticker AND p.last_session >= d.ex_dividend_date\n    ),\n    ust AS\n    (\n        SELECT\n            toStartOfMonth(date)                      AS m,\n            round(avg(toFloat64(yield_10_year)), 2)   AS treasury_10y_pct\n        FROM global_markets.treasury_yields\n        WHERE date >= toStartOfMonth(today()) - 1095\n          AND date <  toStartOfMonth(today())\n          AND yield_10_year > 0\n        GROUP BY m\n    )\nSELECT\n    formatDateTime(n.m, '%Y-%m')                                                             AS month,\n    formatDateTime(n.m, '%b %Y')                                                             AS month_label,\n    round(quantileDeterministicIf(0.5)(n.yield_pct, cityHash64(n.ticker), n.yield_pct > 0), 2) AS basket_median_yield_pct,\n    any(t.treasury_10y_pct)                                                                  AS treasury_10y_pct\nFROM name_month AS n\nINNER JOIN ust AS t ON t.m = n.m\nGROUP BY n.m\nHAVING countIf(n.yield_pct > 0) > 0\nORDER BY n.m","computed_at":"2026-10-08T15:32:24.937813+00:00","elapsed":0.637071383}