Strasmore Research
市場回顧 Matt Connor作者： Matt Connor · 更新於 2026-07-24 · data as of July 24, 2026 · refreshed weekly

美股每月配息股票清單

篩選具備穩定配息紀錄的美國上市公司，整理每月發放現金的標的與當前殖利率。

月配息股票每月發放現金，而非每季一次；實際符合條件的標的遠比網路文章所列的還要少。若針對配息紀錄進行篩選，而非僅依賴廠商標籤，在過去 12 個月內進行了十次至十四次定期現金配息的 1553 美股標的，其中僅有 32 具備良好的公司基本面紀錄。本頁所有數據均以 Jul 21 收盤價為準。

每月配息股票清單

下表列出的所有公司均為美國上市公司。這些公司在過去 12 個月內有 10 至 14 次定期現金配息紀錄，且每日股票成交額至少達 100 萬美元。排名依據為每日成交金額。

查詢每月配息股票 - 已註冊每月配息之公司，依日均成交額排名
每個數據背後的精確 SQL 語法
SELECT m.ticker AS ticker,
       round(m.latest_payment, 4) AS monthly_payment_usd,
       round(100 * m.latest_payment * 12 / l.last_close, 2) AS annual_yield_pct,
       round(dateDiff('day', s.streak_start, s.last_ex) / 365.25, 1) AS years_paying_monthly,
       round(l.adv_usd / 1e6, 1) AS avg_daily_traded_musd,
       formatDateTime(l.last_session, '%b %e') AS priced_through
FROM (
    SELECT ticker, argMax(cash_amount, ex_dividend_date) AS latest_payment
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date > today() - 365
      AND ex_dividend_date <= today()
      AND cash_amount > 0
      AND distribution_type = 'recurring'
      AND ticker NOT IN ('SPCX')
      AND ticker NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
      AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
                         WHERE execution_date BETWEEN today() - 400 AND today())
    GROUP BY ticker
    HAVING count() BETWEEN 10 AND 14
       AND argMax(frequency, ex_dividend_date) = 12
) AS m
INNER JOIN (
    SELECT ticker,
           maxIf(ed, gap_days > 70) AS streak_start,
           max(ed) AS last_ex
    FROM (
        SELECT ticker, ex_dividend_date AS ed,
               dateDiff('day',
                        lagInFrame(ex_dividend_date) OVER (PARTITION BY ticker ORDER BY ex_dividend_date),
                        ex_dividend_date) AS gap_days
        FROM (
            SELECT ticker, ex_dividend_date
            FROM global_markets.stocks_dividends
            WHERE distribution_type = 'recurring' AND cash_amount > 0 AND ex_dividend_date <= today()
            GROUP BY ticker, ex_dividend_date
        )
    )
    GROUP BY ticker
) AS s ON s.ticker = m.ticker
INNER JOIN (
    SELECT ticker,
           avg(dollar_vol) AS adv_usd,
           argMax(close_px, d) AS last_close,
           max(d) AS last_session,
           count() AS sessions
    FROM (
        SELECT ticker,
               toDate(toTimeZone(window_start, 'America/New_York')) AS d,
               sum(toFloat64(close) * volume) AS dollar_vol,
               argMax(toFloat64(close), window_start) AS close_px
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE window_start >= toDateTime(today() - 32)
          AND toDate(toTimeZone(window_start, 'America/New_York')) < today()
          AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
              + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
          AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
              + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
        GROUP BY ticker, d
    )
    GROUP BY ticker
    HAVING sessions >= 15 AND adv_usd >= 1000000 AND last_close > 0
) AS l ON l.ticker = m.ticker
INNER JOIN (
    SELECT ticker
    FROM global_markets.stocks_ratios
    GROUP BY ticker
    HAVING argMax(market_cap, date) > 0
) AS f ON f.ticker = m.ticker
ORDER BY l.adv_usd DESC
LIMIT 60

O 是此清單中交易量最大的每月配息股：每月配息金額為 0.271，擁有 14 年不間斷的配息紀錄；以其 Jul 21 收盤價計算，年化殖利率為 5%，平均每個交易日的成交金額為 226.4 百萬美元。篩選結果包含 26 個項目。殖利率欄位是將最近一次的單筆配息金額乘以 12，再除以該收盤價，因此會隨股價波動。這並非對未來 12 個月現金配息的預測。

必須在除息日（ex-dividend date）之前持有該股票，才能獲得下一筆配息。即將到來的除息日 行事曆列出了下一批除息的公司，而 除息日說明 則解釋了決定買方是否能領取配息的截止日期。

如何辨識月配息標的

股利數據包含頻率標籤，但僅依賴該標籤會導致判斷錯誤。本測試方法是計算該標的實際發放的配息次數，並設定上下限。

查詢個別標的過去一年經常性現金配息 - 月配息區間分布
每個數據背後的精確 SQL 語法
WITH payers AS (
    SELECT ticker,
           count() AS payments_12m,
           argMax(frequency, ex_dividend_date) AS freq_flag
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date > today() - 365
      AND ex_dividend_date <= today()
      AND cash_amount > 0
      AND distribution_type = 'recurring'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
),
filers AS (
    SELECT ticker
    FROM global_markets.stocks_ratios
    GROUP BY ticker
    HAVING argMax(market_cap, date) > 0
)
SELECT multiIf(payments_12m = 1, 'One a year',
               payments_12m = 2, 'Two a year',
               payments_12m BETWEEN 3 AND 6, 'Three to six a year',
               payments_12m BETWEEN 7 AND 9, 'Seven to nine a year',
               payments_12m BETWEEN 10 AND 14, 'Ten to fourteen a year',
               payments_12m BETWEEN 15 AND 39, 'Fifteen to thirty-nine a year',
               'Forty or more a year') AS bucket,
       count() AS tickers,
       countIf(freq_flag = 12) AS labelled_monthly,
       countIf(ticker IN (SELECT ticker FROM filers)) AS company_filings
FROM payers
GROUP BY bucket
ORDER BY min(payments_12m)

98 個標的在過去一年內進行了四十次或更多的定期現金配息，另有 77 個標的配息次數介於十五次至三十九次之間。這些是週配息與日配息標的，是基金市場中成長快速的領域。若篩選條件僅要求「十次或更多」，會將所有這類標的都納入月配息清單。將次數上限設為十四次則可將其排除。

單靠標籤的效果也不佳。71 個標的雖然標註為月配息，但過去一年僅配息一次；182 個標的配息次數介於三次至六次之間。在十至十四次的區間內，標籤與實際紀錄的吻合率僅為 1541 次 / 1553，這就是為什麼本頁面需要同時參考兩項數據。

大多數月配息標的為基金，而非營運公司

這是清單類文章常忽略的部分。由於資料庫並未標註基金、ETF 或 REIT 等類型，因此無法透過標籤將月配息清單篩選為營運公司。該資料庫包含公司基本面數據，會回報所涵蓋營運公司的市值。交易所交易基金與封閉式基金不在此涵蓋範圍內，因此在本頁面中，擁有市值數據可作為判斷是否為營運公司的基準。在月配息區間的 1553 個代號中，有 32 個具備市值數據，其餘則無。其中大部分是交易所交易基金、封閉式基金與間隔基金，其餘則是資料庫未涵蓋的單位、信託與小型發行商。

在少數有申報數據的標的中，主要由不動產投資信託（REITs）、抵押貸款 REITs、商業發展公司（BDCs）與權利金信託（royalty trusts）組成。這才是月配息的真實結構：每月配息的法人實體，其結構設計就是為了直接轉嫁現金流。在通常每季配息的普通營運企業中，幾乎找不到能與 兩十年股利成長冠軍 相提並論的月配息標的。

每月配息股票的殖利率

每月配息股票的殖利率落差，遠比整體市場更廣。本研究針對所有具備完整一年價格歷史紀錄、且流動性達標的每月配息標的進行分類，並增加了一個收益篩選工具通常不會顯示的欄位：該股票在過去十二個月內的價格走勢。

查詢高流動性月配息股票之殖利率分布，及各區間之 12個月 價格變動中位數
每個數據背後的精確 SQL 語法
WITH monthly AS (
    SELECT ticker, argMax(cash_amount, ex_dividend_date) AS latest_payment
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date > today() - 365
      AND ex_dividend_date <= today()
      AND cash_amount > 0
      AND distribution_type = 'recurring'
      AND ticker NOT IN ('SPCX')
      AND ticker NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
      AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
                         WHERE execution_date BETWEEN today() - 400 AND today())
    GROUP BY ticker
    HAVING count() BETWEEN 10 AND 14
       AND argMax(frequency, ex_dividend_date) = 12
),
filers AS (
    SELECT ticker
    FROM global_markets.stocks_ratios
    GROUP BY ticker
    HAVING argMax(market_cap, date) > 0
),
tape AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(close) * volume) AS dollar_vol,
           argMax(toFloat64(close), window_start) AS close_px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN (SELECT ticker FROM monthly)
      AND (window_start >= toDateTime(today() - 32)
           OR (window_start >= toDateTime(today() - 378) AND window_start < toDateTime(today() - 358)))
      AND toDate(toTimeZone(window_start, 'America/New_York')) < today()
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
    GROUP BY ticker, d
),
px AS (
    SELECT ticker,
           avgIf(dollar_vol, d > today() - 32) AS adv_usd,
           argMaxIf(close_px, d, d > today() - 32) AS last_close,
           argMaxIf(close_px, d, d <= today() - 358) AS close_year_ago,
           countIf(d > today() - 32) AS recent_sessions,
           countIf(d <= today() - 358) AS old_sessions
    FROM tape
    GROUP BY ticker
    HAVING recent_sessions >= 15
       AND old_sessions > 0
       AND adv_usd >= 1000000
       AND last_close > 0
       AND close_year_ago > 0
),
named AS (
    SELECT m.ticker AS ticker,
           100 * m.latest_payment * 12 / p.last_close AS yld,
           100 * (p.last_close - p.close_year_ago) / p.close_year_ago AS price_change,
           m.ticker IN (SELECT ticker FROM filers) AS is_filer
    FROM monthly m
    INNER JOIN px p ON p.ticker = m.ticker
)
SELECT multiIf(yld < 3, 'Under 3%',
               yld < 5, 'From 3% to 5%',
               yld < 8, 'From 5% to 8%',
               yld < 12, 'From 8% to 12%',
               'Above 12%') AS bucket,
       count() AS payers,
       round(quantileDeterministic(0.5)(yld, cityHash64(ticker)), 2) AS median_yield_pct,
       round(quantileDeterministic(0.5)(price_change, cityHash64(ticker)), 1) AS median_price_change_12m_pct,
       countIf(is_filer) AS company_filings
FROM named
GROUP BY bucket
ORDER BY median_yield_pct

最大的區間是 From 3% to 5%，包含 289 檔標的；相比之下，From 5% to 8% 區間有 212 檔，Under 3% 區間則有 65 檔。中位數殖利率隨區間上升而明顯增加，從底部的 2.46% 升至頂部的 14.35%。

接著觀察旁邊的價格欄位。最低殖利率區間的十二個月價格中位數變動為 0.5%，From 3% to 5% 區間為 -0.4%，而 Above 12% 區間則為 -6.6%。由於殖利率的計算方式是以價格為分母，因此標的在配息金額不變的情況下，仍可能進入最高殖利率區間。極高的殖利率通常是股價下跌所致，而非代表發放金額優渥。殖利率與公債殖利率之比較 說明了高收益率必須達到的門檻。

殖利率超過 12% 的標的

任何月配息且殖利率約在 12% 以上的標的，都值得重新審視。以下列出過去一年內，股價與月配息表現符合此門檻的申報公司。

查詢殖利率超過 12% 之月配息股票 - 驅動該數值之價格與配息變動
每個數據背後的精確 SQL 語法
WITH monthly AS (
    SELECT ticker,
           argMax(cash_amount, ex_dividend_date) AS latest_payment,
           argMin(cash_amount, ex_dividend_date) AS oldest_payment
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date > today() - 400
      AND ex_dividend_date <= today()
      AND cash_amount > 0
      AND distribution_type = 'recurring'
      AND ticker NOT IN ('SPCX')
      AND ticker NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
      AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
                         WHERE execution_date BETWEEN today() - 400 AND today())
    GROUP BY ticker
    HAVING countIf(ex_dividend_date > today() - 365) BETWEEN 10 AND 14
       AND argMax(frequency, ex_dividend_date) = 12
       AND oldest_payment > 0
),
filers AS (
    SELECT ticker
    FROM global_markets.stocks_ratios
    GROUP BY ticker
    HAVING argMax(market_cap, date) > 0
),
tape AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(close) * volume) AS dollar_vol,
           argMax(toFloat64(close), window_start) AS close_px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN (SELECT ticker FROM monthly)
      AND (window_start >= toDateTime(today() - 32)
           OR (window_start >= toDateTime(today() - 378) AND window_start < toDateTime(today() - 358)))
      AND toDate(toTimeZone(window_start, 'America/New_York')) < today()
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
    GROUP BY ticker, d
),
px AS (
    SELECT ticker,
           avgIf(dollar_vol, d > today() - 32) AS adv_usd,
           argMaxIf(close_px, d, d > today() - 32) AS last_close,
           argMaxIf(close_px, d, d <= today() - 358) AS close_year_ago,
           countIf(d > today() - 32) AS recent_sessions,
           countIf(d <= today() - 358) AS old_sessions
    FROM tape
    GROUP BY ticker
    HAVING recent_sessions >= 15
       AND old_sessions > 0
       AND adv_usd >= 1000000
       AND last_close > 0
       AND close_year_ago > 0
)
SELECT m.ticker AS ticker,
       round(100 * m.latest_payment * 12 / p.last_close, 2) AS annual_yield_pct,
       round(100 * (p.last_close - p.close_year_ago) / p.close_year_ago, 1) AS price_change_12m_pct,
       round(100 * (m.latest_payment - m.oldest_payment) / m.oldest_payment, 1) AS payment_change_12m_pct,
       round(p.adv_usd / 1e6, 1) AS avg_daily_traded_musd
FROM monthly m
INNER JOIN px p ON p.ticker = m.ticker
INNER JOIN filers f ON f.ticker = m.ticker
WHERE 100 * m.latest_payment * 12 / p.last_close >= 12
ORDER BY annual_yield_pct DESC
LIMIT 25

9 標的達標。EARN 的年化殖利率最高，達 21.85%；其股價在過去 12 個月內變動了 -26%，月配息變動了 0%。PSEC 緊隨其後，殖利率為 19.34%，股價變動 -36.3%，配息變動 -22.2%。配息減少與股價下跌通常會同時發生在同一個標的上，並共同推升殖利率。

單看殖利率是不夠的，這正是 何謂股利殖利率 所論述的核心觀點。

Realty Income 年度每月股利變化

Realty Income 是該類別的基準，也是研究每月配息者的常見起點。其公布的每月配息率（即該曆年內最高的配息金額），與前一年的增幅以及該年度內調升次數並列：

查詢Realty Income 曆年宣告之月配息率、較前一年之增幅及年度內調升幅度
每個數據背後的精確 SQL 語法
WITH steps AS (
    SELECT ed, amt,
           lagInFrame(amt) OVER (ORDER BY ed ASC) AS prior_amt
    FROM (
        SELECT ex_dividend_date AS ed, max(cash_amount) AS amt
        FROM global_markets.stocks_dividends
        WHERE ticker = 'O'
          AND distribution_type = 'recurring'
          AND cash_amount > 0
          AND ex_dividend_date >= '2013-01-01'
          AND ex_dividend_date < toStartOfYear(today())
        GROUP BY ed
    )
),
yearly AS (
    SELECT toYear(ed) AS year,
           max(amt) AS monthly_rate,
           countIf(prior_amt > 0 AND amt > prior_amt) AS raise_count
    FROM steps
    GROUP BY year
),
seq AS (
    SELECT year, monthly_rate, raise_count,
           lagInFrame(monthly_rate) OVER (ORDER BY year ASC) AS prior_rate
    FROM yearly
),
panel AS (
    SELECT year, monthly_rate, raise_count,
           100 * (monthly_rate - prior_rate) / prior_rate AS raise_pct
    FROM seq
    WHERE prior_rate > 0 AND year >= 2014
)
SELECT year,
       round(monthly_rate, 4) AS monthly_payment_usd,
       round(raise_pct, 2) AS annual_raise_pct,
       raise_count,
       round(min(raise_pct) OVER (), 2) AS smallest_annual_raise_pct
FROM panel
ORDER BY year

每月配息率從 2014 的 $0.1834 增至 2025 的 $0.27。樣本中最小的年度增幅為 0.69%，因此顯示年份中的配息率皆有成長。最新完整年度的增幅為 2.47%，而 2014 則為 0.69%，旁邊的調升次數顯示了其成長軌跡：僅在 2025 期間就有 6 次獨立調升。每月配息者通常會在一年內進行數次小幅度的調整，而非一次性大幅調升。完整的數據分析請參閱 Realty Income 股利 頁面。

每月配息紀錄的追溯範圍

本頁面上的所有連續紀錄皆是以配息紀錄為基準，而非以公司首次開始每月配息的年份為準；因此，紀錄的跨度比最悠久的配息公司還要短。若計算每個完整曆年內擁有十至十四次定期除息日的股票數量：

查詢已完成配息紀錄之月配息股票，依曆年分類
每個數據背後的精確 SQL 語法
WITH per_year AS (
    SELECT ticker,
           toYear(ex_dividend_date) AS year,
           count(DISTINCT ex_dividend_date) AS payments
    FROM global_markets.stocks_dividends
    WHERE distribution_type = 'recurring'
      AND cash_amount > 0
      AND ex_dividend_date >= '2005-01-01'
      AND ex_dividend_date < toStartOfYear(today())
    GROUP BY ticker, year
)
SELECT year,
       countIf(payments BETWEEN 10 AND 14) AS monthly_payers,
       round(100 * countIf(payments BETWEEN 10 AND 14) / count(), 2) AS monthly_share_pct
FROM per_year
GROUP BY year
ORDER BY year

紀錄顯示，2011 年有 60 家每月配息公司，2012 年為 135 家，接著 2013 年為 730 家，2025 年為 1481 家。股數欄位將此階段性變化與單純的成長區分開來：每月配息公司佔所有定期配息公司的比例，從 1.44% 增加至 10.2%。若某家公司在該階段前就已長期每月配息，其在此顯示的連續年份也不可能超過紀錄本身的跨度。

本列表的衡量方式

以簡明扼要的方式說明各項門檻與排除標準。

  • 發放頻率。 若某個代號在過去 365 天內記錄到 10 至 14 次重複的現金支付，且其最新的頻率標籤為「每月」，則符合每月發放資格。兩個界限皆為必要條件：下限可容忍偶爾缺失的記錄，上限則可排除週配與日配的發放者。
  • 支付類型。 僅計算數據源標記為「重複性」的支付。特別股、補貼性及非定期的一次性支付，皆不計入頻率測試與殖利率計算。
  • 連續紀錄。 指連續的重複除息日，且間隔不超過 70 天。由於數據源偶爾會缺失公司實際已支付月份的記錄，若要求每年必須有 12 筆精確記錄，會導致所有連續紀錄都被低估；若改為季度計算，則會產生接近 3 個月的間隔，進而正確終止紀錄。如上述覆蓋範圍面板所示，記錄本身決定了上限。
  • 流動性門檻。 在過去一個月內，至少有 15 個正規交易時段，平均每日交易金額達 100 萬美元以上。若低於此標準，報價價差會使殖利率失去參考價值。
  • 價格。 殖利率採用已「完成」交易時段的最後收盤價；本頁面重新整理時正在進行中的交易時段不計入，因此日期標記可能比實際日期落後一至兩天。
  • 公司篩選。 主列表僅保留具有公司基本面記錄的代號。殖利率分布面板則包含所有每月發放者，包含基金。
  • 排除項目。 槓桿型與反向 ETF 會被直接排除，過去一年內有股票拆分紀錄的代號也會被排除（因為拆分會造成價格變動假象，破壞每股比較）。由兩家發行商共用同一個代號的情況，在所有地方都會被排除。
  • 未包含內容。 本數據不包含基金費用率以及配息的稅務性質（資本回流或收益）。部分高殖利率的每月配息基金是返還資本而非盈餘，這類數據永遠不會顯示在殖利率中。

常見問題

哪些股票每月發放股利？

根據過去 12 個月的配息紀錄計算，共有 1553 檔美股代號每月配息，但其中僅有 32 具備公司基本面紀錄。其餘絕大多數為基金。在申報公司中，交易量最大的是 O，而符合流動性門檻的清單深度達 26。

每月配息股是否安全？

每月配息並不代表具備安全性，此類族群多集中於抵押貸款 REITs 與選擇權收益基金，其配息會隨信用狀況與利率波動。在本文統計的每月配息標的中，殖利率高於 12% 的標的，其 12 個月價格變動中位數為 -6.6%；而殖利率低於 3% 的標的，該數值則為 0.5%。

殖利率最高的每月配息股是哪一檔？

在符合流動性門檻的每月配息申報公司中，EARN 在 Jul 21 收盤時的年化殖利率最高，達 21.85%。其股價在過去 12 個月內變動了 -26%，這也是大多數雙位數殖利率背後的計算邏輯。

本頁面的每月殖利率是如何計算的？

將最新公布的每月配息金額乘以 12，再除以前一個交易日的收盤價。此方法計算的是年化利率，而非累計過去 12 個月的現金總額；因此，若公司在年中提高配息，其在此處顯示的數值會高於其過去 12 個月的實際殖利率。

上述所有表格皆為針對已公布配息紀錄與即時分線數據所進行的儲存版本查詢。您可以展開任何面板下的 SQL 語法，或在 Strasmore 終端機上建立您專屬的每月配息篩選器。

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