Strasmore Research
學習 Matt Connor作者: Matt Connor · data as of July 31, 2026 · refreshed weekly

2026年合理股息殖利率是多少

好的股息殖利率是一個區間,而非單一數字。美國配息公司多數殖利率低於4%,且隨產業與公債殖利率變化。殖利率成長率與規模同等重要。

一個好的股息殖利率是一個區間,而非單一數字,而且這個區間比多數股票篩選器所顯示的更為狹窄。在市值超過10億美元的美國上市公司中,81.3%的股息發放公司殖利率低於4%,僅有62的公司落在8% and up的區間內。何謂「好」的殖利率會隨著產業以及同一週公債殖利率的變化而調整,而股息發放的成長率與其規模同樣重要。

2026年的合理股息殖利率是多少?

先從市場結構談起,而非依賴經驗法則。以下列出所有市值超過10億美元、股價高於5美元且有配發股息的美國上市公司,按最新資料快照中的殖利率區間分類:

查詢美國股息股分布:殖利率區間,市值10億美元以上,最新快照
每個數據背後的精確 SQL 語法
WITH payers AS (
    SELECT ticker,
           argMax(dividend_yield, date) * 100 AS yield_pct
    FROM global_markets.stocks_ratios
    WHERE date = (SELECT max(date) FROM global_markets.stocks_ratios)
      AND price >= 5
      AND market_cap >= 1000000000
      AND dividend_yield > 0
    GROUP BY ticker
),
banded AS (
    SELECT multiIf(yield_pct < 1, 'under 1%',
                   yield_pct < 2, '1 to 2%',
                   yield_pct < 3, '2 to 3%',
                   yield_pct < 4, '3 to 4%',
                   yield_pct < 6, '4 to 6%',
                   yield_pct < 8, '6 to 8%',
                   '8% and up') AS yield_band,
           min(yield_pct) AS band_floor,
           count() AS company_count
    FROM payers
    GROUP BY yield_band
)
SELECT yield_band,
       company_count,
       round(100 * company_count / sum(company_count) OVER (), 1) AS pct_of_payers,
       round(100 * sum(company_count) OVER (ORDER BY band_floor) / sum(company_count) OVER (), 1) AS cumulative_pct
FROM banded
ORDER BY band_floor
Run this yourself

中間區間最為擁擠。1 to 2%2 to 3%區間涵蓋了21.5%與20.2%的配息公司,而到了3 to 4%區間頂端,已涵蓋81.3%的配息公司。超過這個門檻後,公司數量急遽減少:132家公司在4 to 6%區間、44家在6 to 8%區間、62家在8% and up區間。

這些區間本身也是重要的分類詞彙。under 1%1 to 2%區間代表公司主要透過其他方式回饋現金。2 to 3%3 to 4%區間是美國市場的主流範圍。4 to 6%區間屬於真正的高殖利率,且集中在少數特定產業。殖利率達到6 to 8%或更高者相當罕見,在關注配息金額之前,應先檢視其股價走勢圖。

什麼是各產業合理的股息殖利率?

決定正常殖利率的最大單一因素就是產業。產業型基金最能反映其所屬市場區塊的狀況:以十二個月的配息總額,除以2026年7月底的基金價格。

查詢行業基金追蹤殖利率:截至2026年7月下旬價格的十二個月分配
每個數據背後的精確 SQL 語法
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
Run this yourself

各產業間的差距很大。Utilities的殖利率為3.31%,Energy3.2%,而Technology則為0.55%。在該清單中接近頂端的殖利率,對某個產業來說是常態,對另一個產業卻是異常值;這就是為什麼單一公司的殖利率,與其自身產業比較,會比與全市場平均值比較更有意義。

清單頂端背後有兩個結構性因素。不動產投資信託必須分配大部分應稅收入,才能維持其稅務待遇;而受監管的公用事業則依賴費率基礎的現金流,且擁有長期的配息紀錄。在這些產業中出現高殖利率,是商業模式本身的特徵。同樣的數字若出現在一家快速成長的軟體公司,則是一個值得探究的異常現象。股息殖利率的計算方式涵蓋了此比率的追蹤型與前瞻型版本,兩者經常不一致。

殖利率還是股息成長?

殖利率衡量的是過去一年的配息相對於今日股價,但完全無法反映配息未來的走向。以下是十家知名配息公司,列出其當前殖利率以及五年來年度股息的變化:

查詢當前殖利率對比五年股息成長:十家知名企業,2026年7月
每個數據背後的精確 SQL 語法
WITH px AS (
    SELECT ticker,
           argMax(close, window_start) AS price
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('MSFT','MCD','HD','PG','KO','JNJ','XOM','CVX','VZ','MO')
      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,
           sumIf(cash_amount, ex_dividend_date > toDate('2025-07-30')
                          AND ex_dividend_date <= toDate('2026-07-30')) AS ttm_now,
           sumIf(cash_amount, ex_dividend_date > toDate('2020-07-30')
                          AND ex_dividend_date <= toDate('2021-07-30')) AS ttm_five_years_ago
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('MSFT','MCD','HD','PG','KO','JNJ','XOM','CVX','VZ','MO')
      AND distribution_type = 'recurring'
      AND cash_amount > 0
      AND ((ex_dividend_date > toDate('2020-07-30') AND ex_dividend_date <= toDate('2021-07-30'))
        OR (ex_dividend_date > toDate('2025-07-30') AND ex_dividend_date <= toDate('2026-07-30')))
    GROUP BY ticker
)
SELECT px.ticker AS symbol,
       round(dv.ttm_now / px.price * 100, 2) AS current_yield_pct,
       round(100 * (dv.ttm_now / dv.ttm_five_years_ago - 1), 1) AS five_year_dividend_growth_pct,
       round(dv.ttm_now, 2) AS dividends_per_share_ttm
FROM px
INNER JOIN dv ON px.ticker = dv.ticker
WHERE dv.ttm_five_years_ago > 0
  AND dv.ttm_now > 0
ORDER BY current_yield_pct
Run this yourself

請將兩欄數據合併解讀。MSFT 的殖利率在該欄中敬陪末座,僅 0.79%,但其年度配息在五年內成長了 62.6%。MO 則以 6.23% 的殖利率位居榜首,成長率為 23.3%。介於兩者之間的是歷史悠久的配息公司:MCD 殖利率 2.73%,成長 43.6%;HD 殖利率 2.78%,成長 47%。

這項取捨背後的機制很簡單。成本殖利率(以你實際買入價格計算的當前配息)會隨著每次調升而增加,之後便不再隨股價波動。長期持有下,從低殖利率起步但配息快速成長的公司,其配息可能超越從高殖利率起步但配息持平的公司;反之,配息遭調降的公司則會朝相反方向發展。股息成長冠軍列出了連續調升配息紀錄最長的公司。

When a high dividend yield is a warning

Yield is a fraction with a price in the denominator, and that denominator moves every trading day. A yield can double while the company writes exactly the same check. Intel across the 42 months from January 2021 to June 2024 is the textbook version of that arithmetic.

查詢英特爾(INTC):月底價格、季度股息與報價殖利率,2021年1月至2024年6月
每個數據背後的精確 SQL 語法
WITH px AS (
    SELECT 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 = 'INTC'
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2021-01-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2024-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY month_start
),
dv AS (
    SELECT ex_dividend_date, cash_amount
    FROM global_markets.stocks_dividends
    WHERE ticker = 'INTC'
      AND distribution_type = 'recurring'
      AND frequency = 4
      AND cash_amount > 0
      AND ex_dividend_date >= toDate('2020-01-01')
)
SELECT formatDateTime(px.month_start, '%Y-%m') AS month,
       formatDateTimeInJodaSyntax(px.month_start, 'MMMM yyyy') AS month_label,
       round(any(px.price), 2) AS price,
       round(argMax(dv.cash_amount, dv.ex_dividend_date), 4) AS quarterly_dividend_usd,
       round(argMax(dv.cash_amount, dv.ex_dividend_date) * 4 / any(px.price) * 100, 2) AS dividend_yield_pct
FROM px, dv
WHERE dv.ex_dividend_date <= px.last_day
GROUP BY px.month_start
ORDER BY px.month_start
Run this yourself

In January 2021 the quarterly payment of $0.33 against a $55.48 share read 2.38%. The payment held while the price fell. By October 2022 the same $0.365 check against a $28.44 share showed 5.13%, near the high of the stretch, and any screener sorted by yield would have surfaced the company on that number.

What came next is the part the screen could not display. By May 2023 the quarterly payment was $0.125 and the quoted yield read 1.59%. The last row of the panel, June 2024, shows the same $0.125 a quarter at 1.62%. Nothing about the earlier quote was inaccurate on the day it printed. It described a payment that was later reset.

That is the yield trap in one panel. The screen shows the reward column and hides the history of the denominator. Dividend cuts looks at what the run-up to a cut looks like across the market, and the ex-dividend date explains which payments a buyer is entitled to in the first place.

良好殖利率與10年期公債相比如何?

每一筆股息都與將資金借給政府的替代方案相互競爭。這個基準在五年內已大幅變動。

查詢10年期公債殖利率,逐月走勢:2021年7月至最新記錄
每個數據背後的精確 SQL 語法
SELECT formatDateTime(toStartOfMonth(date), '%Y-%m') AS month,
       formatDateTimeInJodaSyntax(toStartOfMonth(date), 'MMMM yyyy') AS month_label,
       round(argMax(yield_10_year, date), 2) AS treasury_10y_pct
FROM global_markets.treasury_yields
WHERE date >= toDate('2021-07-01')
  AND date <= toDate('2026-07-30')
  AND yield_10_year IS NOT NULL
GROUP BY toStartOfMonth(date)
ORDER BY toStartOfMonth(date)
Run this yourself

10年期票據在July 2021支付1.24%,而在最近一個有資料的月份July 2026,則為4.67%。將此與上方區間對照:69.9%的美國股息發放公司殖利率低於3%。

這兩種工具並不能相互替代。票據的票面利率在存續期間內固定,本金於到期時返還。股息則可能調升或調降,且股價會自行波動。這種比較屬於機會成本的範疇,相同的股息殖利率在1.24%的背景下,與在4.67%的背景下,解讀方式截然不同。股息殖利率與10年期公債之比較追蹤了十年間此一差距的變化。

股息殖利率常見問題

6% 的股息殖利率算好嗎?

這個數字算高。在市值超過 10 億美元的美國配息公司中,44 家落在 6 to 8% 的區間,62 家落在 8% and up,而 81.3% 的配息公司低於 4%。這麼大的數量集中在少數幾個產業,也可能是股價下跌所產生的數學結果。

各產業的正常股息殖利率是多少?

產業型 ETF 能提供最清楚的參考。以 2026 年 7 月底的數據為例,Utilities 過去十二個月的配息殖利率為 3.31%,而 Technology 則為 0.55%。單一公司最好先與其所屬產業的數據進行比較。

高股息殖利率代表股票便宜嗎?

並非如此。只要股價下跌,殖利率就會上升,而配息金額完全沒有改變。英特爾在 October 2022 的每季股息為 0.365 美元,當時的掛牌殖利率為 5.13%;到了 May 2023 則為 0.125 美元。

股息殖利率與股息成長率哪個更重要?

兩者回答的是不同問題。MSFT 的殖利率為 0.79%,五年股息成長率為 62.6%;而 MO 的殖利率為 6.23%,成長率為 23.3%。殖利率描述的是當前的現金回報,成長率則描述這筆現金的未來走向。

股息殖利率與現金或公債相比如何?

根據最新存檔的月度數據(July 2026),10 年期公債的殖利率為 4.67%。該債券的票息是固定的,本金在到期時返還;而股息則可能變動,股價本身也帶有風險。閒置資金停泊去處涵蓋了這項比較中的短期端。


本頁面的每一項數字,都是針對已存檔的股息紀錄與即時價格所執行的版本化查詢結果。開啟任何面板即可查看背後的 SQL 語法,或在 Strasmore 終端機上依殖利率篩選完整的配息公司清單。