作者： 本周股息上调与削减：哪些美股公司有变动
查看本周刚上调或削减定期股息的美国公司，了解股息变化详情，并避开股票拆分造成的“假削减”陷阱。
在美国市场的大多数周次中，股息上调次数多于股息削减次数。在最近一个完整的周一至周日股息声明周内，7 家在美上市公司上调了定期现金股息，0 家下调了股息。下表涵盖的是不同时间窗口，即过去七天，并列出其中规模最大的 5 家公司。本页的每一项变动，都是将公司新宣布的定期股息与其此前按相同时间表派发的定期股息进行比较；特别股息和股票拆分均已在统计前剔除。
本周宣布提高股息的公司
过去七天内上调股息的5家最大公司。符合条件的公司不止这些；下方的按周面板统计了全部公司。前一栏是公司此前的常规股息，后一栏是董事会刚刚宣布的新股息。
| 股票代码 | 此前美元 | 新美元 | 变动百分比 | 宣布日期 | 除息日 | 公司规模（十亿美元） | 宣布截至 |
|---|---|---|---|---|---|---|---|
| VICI | 0.45 | 0.46 | 2.2 | 2026-09-03 | 2026-09-17 | 28.2 | 2026-09-03 |
| LAMR | 1.6 | 1.65 | 3.1 | 2026-09-01 | 2026-09-21 | 15.4 | 2026-09-03 |
| PECO | 0.1083 | 0.115 | 6.2 | 2026-09-01 | 2026-09-15 | 5 | 2026-09-03 |
| BRC | 0.245 | 0.25 | 2 | 2026-09-01 | 2026-10-09 | 4.2 | 2026-09-03 |
| STC | 0.525 | 0.55 | 4.8 | 2026-08-31 | 2026-09-15 | 2.1 | 2026-09-03 |
每个数字背后的完整 SQL
WITH feed AS (
SELECT max(declaration_date) AS latest
FROM global_markets.stocks_dividends
WHERE declaration_date <= today()
),
universe AS (
SELECT ticker, argMax(market_cap, date) AS mcap
FROM global_markets.stocks_ratios
WHERE date >= today() - 10 AND market_cap > 0
GROUP BY ticker
),
regular AS (
SELECT ticker,
ex_dividend_date,
max(declaration_date) AS declared_on,
argMax(cash_amount, declaration_date) AS amt,
argMax(frequency, declaration_date) AS freq
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND cash_amount > 0
AND currency = 'USD'
AND frequency IN (1, 2, 4, 12)
AND ex_dividend_date >= today() - 800
AND ticker NOT IN ('SPCX')
GROUP BY ticker, ex_dividend_date
),
seq AS (
SELECT ticker, ex_dividend_date, declared_on, amt, freq,
lagInFrame(amt) OVER w AS prev_amt,
lagInFrame(freq) OVER w AS prev_freq,
lagInFrame(ex_dividend_date) OVER w AS prev_ex
FROM regular
WINDOW w AS (PARTITION BY ticker ORDER BY ex_dividend_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
),
splits AS (
SELECT ticker, groupArray(execution_date) AS split_dates
FROM global_markets.stocks_splits
WHERE execution_date >= today() - 900
GROUP BY ticker
)
SELECT s.ticker AS ticker,
round(s.prev_amt, 4) AS prior_usd,
round(s.amt, 4) AS new_usd,
round(100 * (s.amt / s.prev_amt - 1), 1) AS pct_change,
toString(s.declared_on) AS declared_date,
toString(s.ex_dividend_date) AS ex_date,
round(u.mcap / 1e9, 1) AS company_size_bn,
toString(f.latest) AS declarations_through
FROM seq s
INNER JOIN universe u ON u.ticker = s.ticker
LEFT JOIN splits sp ON sp.ticker = s.ticker
CROSS JOIN feed f
WHERE s.declared_on > today() - 8
AND s.declared_on <= today()
AND s.prev_amt > 0
AND s.freq = s.prev_freq
AND arrayCount(x -> x > s.prev_ex, sp.split_dates) = 0
AND dateDiff('day', s.prev_ex, s.ex_dividend_date) BETWEEN intDiv(240, s.freq) AND intDiv(520, s.freq)
AND s.amt > s.prev_amt * 1.001
ORDER BY u.mcap DESC, s.ticker
LIMIT 12名单中规模最大的公司是VICI，市值约为28.2亿美元。该公司将常规股息从每股0.45美元上调至0.46美元，增幅为2.2%。新金额适用于与该行除息日相同的那笔股息。投资者必须在该日期之前持有股票，才能领取这笔股息。名单中规模最小的公司是STC，其股息上调了4.8%。表中5家公司加息幅度差异很大，这很正常。董事会可能只将股息每股提高一美分，也可能一次性大幅调整。
加息代表对未来的承诺。新的每股金额将成为下一季度比较的基准，而宣布加息的董事会往往会继续加息。连续加息纪录最长的公司位于我们的连续二十年提高股息页面；即将到来的除息日日历则列出了下一批进入除息的公司。
过去90天宣布削减股息的公司
股息削减并不常见。通常一周最多只有少数几家公司宣布削减，因此下面的筛选范围扩大到完整一个季度的公告。表中列出该季度削减幅度最大的14家公司，同一期间还有更多公司符合条件。每一行的公告日期显示了削减措施的时效性。
| 股票代码 | 此前美元 | 新美元 | 变动百分比 | 宣布日期 | 除息日 |
|---|---|---|---|---|---|
| NXDT | 0.15 | 0.03 | -80 | 2026-07-27 | 2026-09-15 |
| MSB | 0.24 | 0.05 | -79.2 | 2026-07-15 | 2026-07-30 |
| MCHB | 0.7 | 0.25 | -64.3 | 2026-08-19 | 2026-08-28 |
| CRWS | 0.08 | 0.03 | -62.5 | 2026-08-10 | 2026-09-11 |
| PBT | 0.0436 | 0.0187 | -57.1 | 2026-08-21 | 2026-08-31 |
| CAG | 0.35 | 0.175 | -50 | 2026-07-15 | 2026-07-30 |
| WEN | 0.14 | 0.07 | -50 | 2026-08-07 | 2026-09-01 |
| MNR | 0.64 | 0.36 | -43.8 | 2026-08-06 | 2026-08-17 |
| CPB | 0.39 | 0.25 | -35.9 | 2026-09-03 | 2026-10-01 |
| KMDA | 0.25 | 0.17 | -32 | 2026-08-17 | 2026-08-27 |
| CHCT | 0.48 | 0.33 | -31.2 | 2026-08-04 | 2026-08-19 |
| SCM | 0.1133 | 0.0833 | -26.5 | 2026-07-16 | 2026-07-31 |
| FDX | 1.45 | 1.22 | -15.9 | 2026-06-08 | 2026-06-22 |
| SBR | 0.503 | 0.4292 | -14.7 | 2026-07-02 | 2026-07-15 |
每个数字背后的完整 SQL
WITH universe AS (
SELECT ticker, argMax(market_cap, date) AS mcap
FROM global_markets.stocks_ratios
WHERE date >= today() - 10 AND market_cap > 0
GROUP BY ticker
),
regular AS (
SELECT ticker,
ex_dividend_date,
max(declaration_date) AS declared_on,
argMax(cash_amount, declaration_date) AS amt,
argMax(frequency, declaration_date) AS freq
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND cash_amount > 0
AND currency = 'USD'
AND frequency IN (1, 2, 4, 12)
AND ex_dividend_date >= today() - 800
AND ticker NOT IN ('SPCX')
GROUP BY ticker, ex_dividend_date
),
seq AS (
SELECT ticker, ex_dividend_date, declared_on, amt, freq,
lagInFrame(amt) OVER w AS prev_amt,
lagInFrame(freq) OVER w AS prev_freq,
lagInFrame(ex_dividend_date) OVER w AS prev_ex
FROM regular
WINDOW w AS (PARTITION BY ticker ORDER BY ex_dividend_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
),
splits AS (
SELECT ticker, groupArray(execution_date) AS split_dates
FROM global_markets.stocks_splits
WHERE execution_date >= today() - 900
GROUP BY ticker
)
SELECT s.ticker AS ticker,
round(s.prev_amt, 4) AS prior_usd,
round(s.amt, 4) AS new_usd,
round(100 * (s.amt / s.prev_amt - 1), 1) AS pct_change,
toString(s.declared_on) AS declared_date,
toString(s.ex_dividend_date) AS ex_date
FROM seq s
INNER JOIN universe u ON u.ticker = s.ticker
LEFT JOIN splits sp ON sp.ticker = s.ticker
WHERE s.declared_on > today() - 91
AND s.declared_on <= today()
AND s.prev_amt > 0
AND s.freq = s.prev_freq
AND arrayCount(x -> x > s.prev_ex, sp.split_dates) = 0
AND dateDiff('day', s.prev_ex, s.ex_dividend_date) BETWEEN intDiv(240, s.freq) AND intDiv(520, s.freq)
AND s.amt < s.prev_amt * 0.995
ORDER BY pct_change ASC, ticker
LIMIT 14记录中削减幅度最大的是NXDT，其常规每股派息从$0.15降至$0.03，变动幅度为-80%。在同一张表中，削减幅度最小的是SBR，变动幅度为-14.7%。全部14行均为已宣布的每股派息金额确实下调，且每项都与同一家公司此前按相同频率支付的股息进行比较。
这类名单中的公司主要有两种。第一种是经营性企业。由于现金流已无法支撑原有派息，公司重新设定派息水平。这是典型的股息削减，通常在宣布前股价就已下跌。第二种是派 pass-through 结构的投资工具，其派息本来就会变动：特许权信托将底层油井产生的收入分配给投资者，商业发展公司则分配其贷款组合产生的收入。这类公司的派息更常双向变动。这两种结构也占据市场月度派息活动的很大部分；每月派息股票介绍了哪些投资工具每年派息12次，以及其收益率与季度派息股票相比如何。如需查看美国大型公司削减股息的历史情况，包括2020年的那一轮削减，请参阅哪些公司削减了股息。
逐周对比上调与下调
单独一则公告本身说明不了太多问题。按整个季度统计公司名称数量，才能看出周期。下图覆盖最近 26 个完整的分配公告周，统计所有符合条件的变动，不设上限。
| 周 | 周标签 | 上调 | 下调 |
|---|---|---|---|
| 2026-03-02 | Mar 2 | 16 | 2 |
| 2026-03-09 | Mar 9 | 16 | 0 |
| 2026-03-16 | Mar 16 | 9 | 3 |
| 2026-03-23 | Mar 23 | 6 | 2 |
| 2026-03-30 | Mar 30 | 9 | 2 |
| 2026-04-06 | Apr 6 | 4 | 0 |
| 2026-04-13 | Apr 13 | 22 | 2 |
| 2026-04-20 | Apr 20 | 35 | 5 |
| 2026-04-27 | Apr 27 | 47 | 4 |
| 2026-05-04 | May 4 | 39 | 7 |
| 2026-05-11 | May 11 | 13 | 3 |
| 2026-05-18 | May 18 | 17 | 4 |
| 2026-05-25 | May 25 | 4 | 2 |
| 2026-06-01 | Jun 1 | 11 | 2 |
| 2026-06-08 | Jun 8 | 10 | 1 |
| 2026-06-15 | Jun 15 | 10 | 0 |
| 2026-06-22 | Jun 22 | 9 | 0 |
| 2026-06-29 | Jun 29 | 1 | 1 |
| 2026-07-06 | Jul 6 | 11 | 0 |
| 2026-07-13 | Jul 13 | 21 | 3 |
每个数字背后的完整 SQL
WITH universe AS (
SELECT ticker, argMax(market_cap, date) AS mcap
FROM global_markets.stocks_ratios
WHERE date >= today() - 10 AND market_cap > 0
GROUP BY ticker
),
regular AS (
SELECT ticker,
ex_dividend_date,
max(declaration_date) AS declared_on,
argMax(cash_amount, declaration_date) AS amt,
argMax(frequency, declaration_date) AS freq
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND cash_amount > 0
AND currency = 'USD'
AND frequency IN (1, 2, 4, 12)
AND ex_dividend_date >= today() - 1200
AND ticker NOT IN ('SPCX')
GROUP BY ticker, ex_dividend_date
),
seq AS (
SELECT ticker, ex_dividend_date, declared_on, amt, freq,
lagInFrame(amt) OVER w AS prev_amt,
lagInFrame(freq) OVER w AS prev_freq,
lagInFrame(ex_dividend_date) OVER w AS prev_ex
FROM regular
WINDOW w AS (PARTITION BY ticker ORDER BY ex_dividend_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
),
splits AS (
SELECT ticker, groupArray(execution_date) AS split_dates
FROM global_markets.stocks_splits
WHERE execution_date >= today() - 1300
GROUP BY ticker
)
SELECT toString(toMonday(s.declared_on)) AS week,
formatDateTime(toMonday(s.declared_on), '%b %e') AS week_label,
countIf(s.amt > s.prev_amt * 1.001) AS increases,
countIf(s.amt < s.prev_amt * 0.995) AS cuts
FROM seq s
INNER JOIN universe u ON u.ticker = s.ticker
LEFT JOIN splits sp ON sp.ticker = s.ticker
WHERE s.prev_amt > 0
AND s.freq = s.prev_freq
AND arrayCount(x -> x > s.prev_ex, sp.split_dates) = 0
AND dateDiff('day', s.prev_ex, s.ex_dividend_date) BETWEEN intDiv(240, s.freq) AND intDiv(520, s.freq)
AND s.declared_on >= toMonday(today()) - 182
AND s.declared_on < toMonday(today())
GROUP BY week, week_label
ORDER BY week图表从 Mar 2 当周开始，当周有 16 次上调、2 次下调；截至 Aug 24 当周，数据为 7 次上调、0 次下调。上调线波动明显。董事会按各自的季度节奏发布公告，最密集的周通常出现在每个季度结束后的几周，而两个密集期之间的周次则较少。某一周数据清淡，往往只是日历效应。下调线全年大多贴近低位。
Who cuts, and who does not
Increases and cuts sit differently across the size ladder. Every regular-dividend declaration recorded so far this calendar year, split into four bands by what the company is worth today:
| 规模区间 | 宣布次数 | 上调 | 下调 | 下调占比 | 加薪中位数 |
|---|---|---|---|---|---|
| Mega cap ($100B and up) | 269 | 64 | 1 | 0.4 | 7.6 |
| Large cap ($10B to $100B) | 1214 | 277 | 5 | 0.4 | 7.1 |
| Mid cap ($2B to $10B) | 1329 | 247 | 13 | 1 | 6.7 |
| Small cap (under $2B) | 1606 | 245 | 60 | 3.7 | 8.7 |
每个数字背后的完整 SQL
WITH universe AS (
SELECT ticker, argMax(market_cap, date) AS mcap
FROM global_markets.stocks_ratios
WHERE date >= today() - 10 AND market_cap > 0
GROUP BY ticker
),
regular AS (
SELECT ticker,
ex_dividend_date,
max(declaration_date) AS declared_on,
argMax(cash_amount, declaration_date) AS amt,
argMax(frequency, declaration_date) AS freq
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND cash_amount > 0
AND currency = 'USD'
AND frequency IN (1, 2, 4, 12)
AND ex_dividend_date >= today() - 1200
AND ticker NOT IN ('SPCX')
GROUP BY ticker, ex_dividend_date
),
seq AS (
SELECT ticker, ex_dividend_date, declared_on, amt, freq,
lagInFrame(amt) OVER w AS prev_amt,
lagInFrame(freq) OVER w AS prev_freq,
lagInFrame(ex_dividend_date) OVER w AS prev_ex
FROM regular
WINDOW w AS (PARTITION BY ticker ORDER BY ex_dividend_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
),
splits AS (
SELECT ticker, groupArray(execution_date) AS split_dates
FROM global_markets.stocks_splits
WHERE execution_date >= today() - 1300
GROUP BY ticker
),
changes AS (
SELECT s.ticker AS ticker,
s.declared_on AS declared_on,
s.amt / s.prev_amt - 1 AS chg,
u.mcap AS mcap
FROM seq s
INNER JOIN universe u ON u.ticker = s.ticker
LEFT JOIN splits sp ON sp.ticker = s.ticker
WHERE s.declared_on >= toStartOfYear(today())
AND s.declared_on <= today()
AND s.prev_amt > 0
AND s.freq = s.prev_freq
AND arrayCount(x -> x > s.prev_ex, sp.split_dates) = 0
AND dateDiff('day', s.prev_ex, s.ex_dividend_date) BETWEEN intDiv(240, s.freq) AND intDiv(520, s.freq)
)
SELECT multiIf(mcap >= 1e11, 'Mega cap ($100B and up)',
mcap >= 1e10, 'Large cap ($10B to $100B)',
mcap >= 2e9, 'Mid cap ($2B to $10B)',
'Small cap (under $2B)') AS size_band,
count() AS declarations,
countIf(chg > 0.001) AS increases,
countIf(chg < -0.005) AS cuts,
round(100 * countIf(chg < -0.005) / count(), 1) AS cut_share_pct,
round(100 * quantileDeterministicIf(0.5)(chg, cityHash64(ticker, declared_on), chg > 0.001), 1) AS median_raise_pct
FROM changes
GROUP BY size_band
HAVING countIf(chg > 0.001) > 0
ORDER BY max(mcap) DESCIn the top band, Mega cap ($100B and up), 64 of 269 declarations raised the payment, against a cut count of 1, a cut share of 0.4%. The picture inverts at the bottom of the market: the Small cap (under $2B) band carried a cut count of 60 out of 1606 declarations, a cut share of 3.7%, well above the rate in each of the three larger bands. The typical raise is a similar size everywhere, near 7.1% in the Large cap ($10B to $100B) band and 8.7% among the small caps. The bands differ in durability, not in the size of the typical raise. One caveat sits under the panel: the bands use each company's market value today, so a payer that cut in the spring and shrank afterwards is banded by the smaller value it carries now.
拆股会制造“股息削减”吗？
这正是大多数股息筛选器悄然失效的地方。公司实施十比一拆股后，会在同一天将每股股息除以十。股息并未削减，股东持有的股份数量增加至十倍，获得的现金总额不变。若筛选器在拆股日前后直接比较每股金额，就会显示出一次幅度惊人的虚假削减。以下列出 9 家大型派息公司，分别按各自的拆股情况进行衡量：
| 股票代码 | 拆股比率 | 执行日期 | 拆股前美元 | 拆股后美元 | 表面百分比 | 调整后百分比 |
|---|---|---|---|---|---|---|
| NVDA | 10-for-1 | 2024-06-10 | 0.04 | 0.01 | -75 | 150 |
| WMT | 3-for-1 | 2024-02-26 | 0.57 | 0.2075 | -63.6 | 9.2 |
| AVGO | 10-for-1 | 2024-07-15 | 5.25 | 0.53 | -89.9 | 1 |
| BKNG | 25-for-1 | 2026-04-06 | 10.5 | 0.42 | -96 | 0 |
| CTAS | 4-for-1 | 2024-09-12 | 1.56 | 0.39 | -75 | 0 |
| ETR | 2-for-1 | 2024-12-13 | 1.2 | 0.6 | -50 | 0 |
| FAST | 2-for-1 | 2025-05-22 | 0.44 | 0.22 | -50 | 0 |
| LRCX | 10-for-1 | 2024-10-03 | 2.3 | 0.23 | -90 | 0 |
| ODFL | 2-for-1 | 2024-03-28 | 0.52 | 0.26 | -50 | 0 |
每个数字背后的完整 SQL
WITH sp AS (
SELECT ticker,
max(execution_date) AS exec_date,
argMax(split_to / split_from, execution_date) AS ratio
FROM global_markets.stocks_splits
WHERE adjustment_type = 'forward_split'
AND split_from > 0
AND split_to >= split_from * 2
AND modulo(split_to, split_from) = 0
AND ticker IN ('NVDA', 'AVGO', 'WMT', 'LRCX', 'CTAS', 'ETR', 'FAST', 'ODFL', 'BKNG')
AND execution_date >= today() - 1500
AND execution_date <= today() - 90
GROUP BY ticker
),
divs AS (
SELECT ticker, ex_dividend_date, argMax(cash_amount, declaration_date) AS amt
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND cash_amount > 0
AND currency = 'USD'
AND ticker IN ('NVDA', 'AVGO', 'WMT', 'LRCX', 'CTAS', 'ETR', 'FAST', 'ODFL', 'BKNG')
GROUP BY ticker, ex_dividend_date
)
SELECT sp.ticker AS ticker,
concat(toString(toUInt32(round(sp.ratio))), '-for-1') AS split_ratio,
toString(sp.exec_date) AS executed_date,
round(argMaxIf(d.amt, d.ex_dividend_date, d.ex_dividend_date < sp.exec_date), 4) AS before_split_usd,
round(argMinIf(d.amt, d.ex_dividend_date, d.ex_dividend_date >= sp.exec_date), 4) AS after_split_usd,
round(100 * (argMinIf(d.amt, d.ex_dividend_date, d.ex_dividend_date >= sp.exec_date)
/ argMaxIf(d.amt, d.ex_dividend_date, d.ex_dividend_date < sp.exec_date) - 1), 1) AS apparent_pct,
round(100 * (argMinIf(d.amt, d.ex_dividend_date, d.ex_dividend_date >= sp.exec_date) * sp.ratio
/ argMaxIf(d.amt, d.ex_dividend_date, d.ex_dividend_date < sp.exec_date) - 1), 1) AS adjusted_pct
FROM sp
INNER JOIN divs d ON d.ticker = sp.ticker
GROUP BY sp.ticker, sp.ratio, sp.exec_date
HAVING countIf(d.ex_dividend_date < sp.exec_date) > 0
AND countIf(d.ex_dividend_date >= sp.exec_date) > 0
ORDER BY adjusted_pct DESC, sp.ticker以 NVDA 为例。其在 10-for-1 拆股前的最后一次派息为每股 $0.04，拆股后的首次派息为 $0.01，按原始金额计算的变动为 -75%。将拆股后的派息乘以拆股比例后，同一事件就变成了 150% 的增长。表格另一端的 ODFL 经历了 2-for-1 拆股，按原始金额计算的变动为 -50%，按调整后金额计算的变动为 0%：每投入一美元所获得的收入完全没有变化。
衡量方法
有必要完整说明筛选规则。隐藏规则的筛选结果看似数据，实则包含主观判断。
- 以股息宣告日为准，而不是除息日。 变更日期按董事会宣布变更的当天确定，因为这一天信息才正式公开。除息日一栏显示新金额何时从股价中分离。
- 仅统计常规分配。 只比较标记为定期分配的记录。一次性的特别分配或补充分配不属于该序列；用下一次常规分配与特别分配比较，会凭空制造一次从未发生的下调。相关机制见什么是特别股息。
- 两次分配必须遵循相同频率。 比较的两笔分配必须具有相同的宣告频率，且两者除息日之间的间隔必须符合该频率。将季度分配与年度分配比较，并不构成下调。
- 剔除拆股，不进行调整。 如果公司在两笔分配中较早的一笔之后或当天执行拆股，则从这些表格中剔除。我们的股息数据源确实包含供应商提供的拆股调整列，但抽查发现，该列在同一公司的历史分配记录中应用并不一致。因此，本页面比较宣告时的原始金额，并剔除受影响的公司。
- 美元计价、美国上市。 仅统计以美元宣告分配、且基本面数据源覆盖并提供市值数据的公司。这会排除ETF，因为ETF分配属于转递收入，且每期金额波动较大；也会排除外国发行人，因为其美元金额会随汇率变动。
- 两张排名表均设有上限。 上调表最多列出过去七天内幅度最大的十二次上调；下调表最多列出过去90天内幅度最大的十四次下调。每个时间窗口内符合条件的公司更多，因此两张表都不是完整名单。逐周面板不设上限。
- 规模区间采用今日市值。 我们的基本面数据源仅提供当前市值快照，没有历史市值。因此，一家在春季下调股息、随后股价下跌的公司，会被计入较小规模区间；一家自一月以来被收购或退市的分配公司没有市值快照，也会从年初至今面板中剔除。
- 幅度要求。 上调必须超过十分之一个百分点，下调必须低于负百分之零点五。这样可以过滤以美分为单位的分配金额因四舍五入产生的噪声。
- 时效性。 数据已记录截至2026-09-03的宣告。逐周序列截至最近一个完整周，因此当前不完整的一周不会被误判为活动骤降。
常见问题
本周哪些公司提高了股息？
在最近一个完整的周一至周日股息公告周内，7家在美国上市的公司提高了定期现金股息。在过去七天这一略有不同的统计区间内，涨幅最大的是VICI，将每股定期股息从$0.45提高至$0.46；其次是LAMR，从$1.6提高至$1.65。顶部表格按公司规模列出了规模最大的5家公司。
2026年哪些股票削减了股息？
在本日历年迄今记录的所有定期股息公告中，削减股息的公司绝大多数规模较小：Small cap (under $2B)规模区间有60家公司，而最大规模区间有1家。过去90天内宣布的最大降幅来自NXDT，该公司将每股定期股息从$0.15下调至$0.03；其次是MSB，从$0.24下调至$0.05。上方表格列出了该季度降幅最大的14家公司；同一统计区间内还有更多公司符合条件。
股票拆分是否算作削减股息？
不算。四股并一股的拆分会将一股变为四股，并将每股股息除以四，但股东获得的现金总额不变。上方的拆分面板显示了9个真实案例，其中一个案例的未经调整比较结果为-75%，而按拆分调整后的变化则是增加150%。
与股息增加相比，股息削减发生得有多频繁？
在正常年份，提高股息的公司数量远高于削减股息的公司。今年迄今，最大规模的公司记录了64次股息增加，而削减次数为1次；即使是削减最常见的小盘股区间，也记录了245次增加，而削减次数为60次。
按 ticker 查看股息特征
每家高股息公司都有经过量化的独特特征，包括当前股息率、完整派息记录、连续增长年数和除息日表现。涵盖的公司包括 摩根大通、摩根士丹利、美国银行、富国银行、可口可乐、宝洁、强生、埃克森美孚、雪佛龙、AT&T、Verizon和辉瑞。什么是股息率一文则解释了每股派息如何换算为筛选页面显示的股息率。
这里的每张表都是基于已申报股息记录的存储版、带版本控制的查询，每周重建。展开任一面板下方的 SQL，即可审计某一行；也可以在 Strasmore 终端上运行筛选。