STOCK TITAN

Short Interest Decreases — Positions Being Covered

US-listed companies whose reported short position fell the most between the two most recent FINRA settlement files. A fall is consistent with covering and equally with a share base that changed underneath the count, so the marked rows matter as much as the ranking.
Settlement Sep 30, 2026
next publication (FINRA schedule) Oct 26, 2026
data 12 days old
Reporting period September 2026
Direction Falling short interest
Page 20 of 22

Swipe the table sideways for more columns.

What these columns measure
Short Interest Change
How far the reported short position moved between the two most recent FINRA settlement files. The share counts under each percentage are the two positions it was computed from.
Split in period
A share split that took effect between the two settlement dates puts the two counts on different share bases, so the percentage measures the rebase rather than any trading. Those rows are struck through and marked, never adjusted, because a heuristic correction here is a number nobody can verify.
SI % of Float*
Shares sold short measured against the shares actually available to trade. Where no reliable float exists the position is measured against shares outstanding instead and the row says "of outstanding", because the same position reads lower on the wider denominator.
Days to Cover
Shares sold short divided by average daily volume: how many days of ordinary trading buying the position back would take. FINRA floors the value at 1.00 whenever average daily volume already exceeds the position, so those rows read "1 day or less" rather than stating a precision the source withheld.
Why a cell shows a dash
A percentage is withheld rather than guessed whenever its denominator cannot be trusted: the security class publishes no float, the share-count sources disagree, a split leaves the basis uncertain, the settlement file reports no position, or the computed percentage failed the reliability check. The raw share counts stay visible in every one of those cases.
Rank
Symbol
Company Name
Short Interest Change
SI % of Float*
Days to Cover
Market Cap
Country
Sector
1901
-1.30%
3.5M → 3.5M
4.61%
4.1
$1.24B
Ireland
Consumer Defensive
1902
-1.30%
2.3M → 2.3M
14.26%
8.6
$80.54M
United States
Technology
1903
-1.28%
2.4M → 2.4M
2.28%
2.7
$4.57B
China
Consumer Cyclical
1904
-1.28%
1.5M → 1.5M
2.94%of outstanding
4.9
$2.17B
United States
Consumer Defensive
1905
-1.28%
539K → 533K
6.07%
23.4
$635.42M
Canada
Technology
1906
-1.27%
29.5M → 29.1M
12.09%
15.8
$251.39M
United States
Healthcare
1907
-1.27%
4.3M → 4.3M
9.77%
14.0
$531.17M
United States
Healthcare
1908
-1.26%
13.7M → 13.5M
2.89%
2.6
$10.93B
United States
Financial Services
1909
-1.26%
3.3M → 3.2M
0.64%
1.3
$10.19B
United Kingdom
Industrials
1910
-1.25%
2.9M → 2.9M
2.57%
2.6
$18.68B
United States
Technology
1911
-1.25%
55.8M → 55.1M
15.57%
2.2
$465.22M
United States
Financial Services
1912
-1.25%
1.3M → 1.3M
5.84%
7.0
$1.01B
United States
Healthcare
1913
-1.25%
18.4M → 18.2M
1.66%
1.8
$152.63B
United States
Consumer Cyclical
1914
-1.25%
206K → 204K
0.75%
4.2
$757.62M
Brazil
Financial Services
1915
-1.25%
20.1M → 19.8M
2.16%
3.3
$8.95B
China
Technology
1916
-1.24%
1.1M → 1.1M
6.86%
7.9
$4.69B
United States
Industrials
1917
-1.24%
57K → 56K
1.20%
9.7
$62.79M
Hong Kong
Consumer Cyclical
1918
-1.23%
1.7M → 1.6M
8.54%
2.3
$29.47M
United States
Consumer Defensive
1919
-1.23%
39.7M → 39.2M
0.95%
2.6
$694.67B
United States
Energy
1920
-1.22%
17.5M → 17.3M
10.65%of outstanding
11.4
$1.06B
United States
Financial Services
1921
-1.22%
1.5M → 1.5M
6.05%
7.4
$3.23B
United States
Consumer Cyclical
1922
-1.22%
7.1M → 7.0M
6.27%
5.3
$5.79B
United States
Industrials
1923
-1.21%
207K → 204K
2.98%
2.0
$229.47M
United States
Healthcare
1924
-1.21%
4.0M → 3.9M
21.86%
7.5
$1.43B
Germany
Consumer Cyclical
1925
-1.21%
21.9M → 21.6M
2.66%
3.4
$342.56B
United States
Technology
1926
-1.20%
24.0M → 23.7M
29.07%
5.5
$1.54B
United States
Energy
1927
-1.20%
2.1M → 2.0M
6.96%
6.2
$223.87M
United States
Energy
1928
-1.19%
36.0M → 35.6M
9.63%
14.9
$1.03B
United States
Healthcare
1929
-1.18%
5.4M → 5.3M
12.31%
6.1
$1.65B
United States
Healthcare
1930
-1.17%
7.2M → 7.1M
9.63%
4.5
$287.64M
United States
Healthcare
1931
-1.16%
8.3M → 8.2M
4.78%
5.9
$713.58M
Canada
Basic Materials
1932
-1.15%
5.7M → 5.6M
8.71%
9.2
$161.87M
United States
Technology
1933
-1.14%
7.3M → 7.2M
4.85%
4.5
$4.07B
United States
Financial Services
1934
-1.14%
7.9M → 7.8M
15.27%
4.3
$1.18B
United States
Healthcare
1935
-1.13%
1.1M → 1.1M
3.77%
4.6
$1.75B
United States
Consumer Cyclical
1936
-1.13%
21.2M → 21.0M
9.80%of outstanding
6.4
$91.79M
Israel
Consumer Cyclical
1937
-1.13%
377K → 373K
4.16%
1.6
$87.03M
United States
Healthcare
1938
-1.12%
2.6M → 2.6M
0.20%
3.2
$14.16B
South Korea
Utilities
1939
-1.10%
9.5M → 9.4M
7.02%
4.4
$2.59B
United States
Industrials
1940
-1.09%
14.2M → 14.0M
6.52%
4.7
$5.50B
United States
Real Estate
1941
-1.09%
51.8M → 51.2M
18.61%
2.6
$289.53M
United States
Consumer Cyclical
1942
-1.07%
4.9M → 4.8M
19.29%
10.6
$306.18M
United Kingdom
Technology
1943
-1.05%
370K → 366K
2.44%
4.9
$313.25M
United States
Financial Services
1944
-1.05%
125.4M → 124.1M
30.94%
8.9
$11.14B
United States
Healthcare
1945
-1.04%
26.1M → 25.8M
2.07%
2.6
$399.00B
United States
Technology
1946
-1.04%
1.8M → 1.8M
5.24%
4.4
$583.39M
United States
Financial Services
1947
-1.04%
26.8M → 26.6M
12.53%
14.3
$2.32B
Canada
Basic Materials
1948
-1.03%
16.3M → 16.1M
6.33%
8.8
$21.57B
United States
Basic Materials
1949
-1.03%
449K → 445K
4.24%
11.3
$208.08M
United States
Consumer Cyclical
1950
-1.02%
3.5M → 3.4M
5.38%
6.6
$1.33B
Israel
Healthcare
1951
-1.01%
32.2M → 31.9M
15.22%
7.1
$145.80M
United States
Healthcare
1952
-1.00%
16.7M → 16.5M
10.97%
6.5
$2.62B
United States
Consumer Cyclical
1953
-1.00%
14.6M → 14.4M
6.52%of outstanding
5.9
$3.70B
Switzerland
Technology
1954
-0.99%
9.8M → 9.7M
37.85%
3.6
$240.33M
United States
Communication Services
1955
-0.98%
2.8M → 2.8M
4.88%
4.6
$13.06B
United States
Consumer Defensive
1956
-0.97%
2.8M → 2.8M
1.89%
3.5
$80.40B
United States
Financial Services
1957
-0.96%
317K → 314K
4.41%
8.0
$284.48M
United States
Financial Services
1958
-0.95%
16.9M → 16.7M
10.98%
2.9
$3.04B
United States
Consumer Cyclical
1959
-0.95%
1.6M → 1.6M
10.53%
5.6
$288.01M
United States
Technology
1960
-0.95%
4.5M → 4.5M
7.90%
3.5
$2.83B
United States
Basic Materials
1961
-0.95%
7.7M → 7.6M
11.88%
4.2
$926.08M
United States
Technology
1962
-0.94%
55K → 54K
0.47%
79.3
$159.38M
United States
Financial Services
1963
-0.94%
3.4M → 3.4M
3.62%
2.5
$5.03B
United States
Communication Services
1964
-0.94%
16.5M → 16.4M
1.39%
2.0
$28.16B
Canada
Basic Materials
1965
-0.93%
6.1M → 6.1M
14.55%
8.3
$3.42B
United States
Healthcare
1966
-0.92%
952K → 943K
0.36%
2.3
$1.94B
Finland
Technology
1967
-0.92%
287.3M → 284.6M
21.34%
5.8
$2.35B
United States
Industrials
1968
-0.91%
858K → 850K
2.44%
2.6
$60.38B
United States
Industrials
1969
-0.90%
15.1M → 15.0M
4.35%
9.3
$39.02B
United States
Financial Services
1970
-0.89%
413K → 409K
3.80%
4.6
$595.54M
United States
Consumer Cyclical
1971
-0.89%
352K → 349K
0.95%
1.2
$43.06M
United States
Consumer Cyclical
1972
-0.88%
24.5M → 24.3M
5.86%
3.6
$6.88B
China
Communication Services
1973
-0.88%
12.3M → 12.1M
2.56%
2.4
$38.44B
United States
Consumer Defensive
1974
-0.87%
3.9M → 3.9M
8.33%
5.4
$1.48B
United States
Industrials
1975
-0.87%
2.6M → 2.6M
6.29%
8.7
$137.81M
United States
Industrials
1976
-0.87%
11.1M → 11.0M
14.94%
1.2
$19.29M
United States
Communication Services
1977
-0.86%
175K → 173K
2.73%
66.1
$128.79M
Hong Kong
Financial Services
1978
-0.85%
7.7M → 7.6M
3.96%
3.8
$7.09B
United States
Real Estate
1979
-0.84%
1.4M → 1.4M
2.82%
4.4
$413.65M
Israel
Technology
1980
-0.84%
113K → 112K
3.30%
10.3
$178.30M
United States
Financial Services
1981
-0.84%
7.2M → 7.1M
12.57%
6.9
$7.04B
United States
Consumer Cyclical
1982
-0.84%
103.6M → 102.8M
1.04%
14.2
$16.82B
India
Technology
1983
-0.83%
4.0M → 4.0M
3.46%
3.9
$6.45B
United States
Financial Services
1984
-0.83%
8.3M → 8.3M
1.17%
1.4
$7.23B
South Africa
Basic Materials
1985
-0.82%
15.7M → 15.5M
20.22%
6.2
$1.32B
United States
Consumer Cyclical
1986
-0.81%
19.3M → 19.2M
1.18%
1.9
$167.23B
United States
Financial Services
1987
-0.80%
316K → 314K
2.08%
1000.0
$172.35M
Japan
Industrials
1988
-0.80%
5.2M → 5.1M
5.41%
5.7
$3.07B
United States
Financial Services
1989
-0.79%
617K → 612K
1.14%
2.7
$192.26M
China
Consumer Cyclical
1990
-0.77%
5.9M → 5.8M
2.84%
10.3
$192.12M
Canada
Basic Materials
1991
-0.77%
94K → 93K
0.44%of outstanding
1 day or less
$61.13M
China
Consumer Cyclical
1992
-0.76%
19.2M → 19.0M
10.50%
2.8
$7.49B
United States
Consumer Cyclical
1993
-0.76%
667K → 661K
3.09%
3.8
$1.39B
United States
Basic Materials
1994
-0.75%
5.2M → 5.2M
3.25%
2.5
$9.75B
United States
Basic Materials
1995
-0.75%
1.3M → 1.2M
5.72%
3.2
$419.47M
United States
Consumer Defensive
1996
-0.75%
3.4M → 3.4M
3.00%
2.5
$24.00B
United States
Financial Services
1997
-0.74%
1.4M → 1.4M
7.36%
11.5
$707.09M
United States
Financial Services
1998
-0.73%
1.4M → 1.4M
7.61%
4.5
$7.67B
United States
Financial Services
1999
-0.71%
3.1M → 3.0M
9.41%
5.8
$3.52B
United States
Healthcare
2000
-0.71%
595K → 591K
2.94%
1.0
$147.46M
United States
Consumer Cyclical
Looking for a specific Symbol?
* Measured against the tradable float where one is published, and against shares outstanding where none is. Rows on the wider denominator say "of outstanding", because the same position reads lower against it.
Short interest data is provided by FINRA and updated bi-monthly. Data as of September 2026. A settlement records positions open on that date rather than trading in between. This ranking is informational and is not investment advice.

Frequently Asked Questions

Q Which stocks had the biggest short interest decrease this period?
A

DOLE leads this ranking, followed by INSG and ATAT. The ranking measures the change in reported short positions between two consecutive FINRA settlement files, so it reflects positions that were open on those two dates rather than trading that happened in between. The figures on this page come from the settlement dated Sep 30, 2026.

Q How often is short interest data updated?
A

FINRA collects short positions twice a month, on the settlement dates around mid-month and month-end, and publishes each file about seven business days later, on dates it announces a year ahead. That gap is why this page states its settlement date and the age of the figures: a position can have changed substantially before the next file confirms it.

Q What do short interest as a percentage of float and days to cover actually mean?
A

Short interest as a percentage of float is the shorted position measured against the shares actually available to trade, so it answers how crowded the short side is. Days to cover divides that position by average daily volume, answering how long ordinary trading would take to buy it back. Where no reliable float exists, the percentage is measured against shares outstanding instead and the row says so, because the same position reads lower on the wider denominator.

Q What does a large drop in short interest actually tell you?
A

Less than it appears. A fall in the reported position is consistent with shorts buying back, which is the reading most people reach for, but it is equally consistent with a share count that changed underneath the figure: a reverse split rebases the position without anyone trading, and a symbol leaving the settlement file entirely can read as a collapse to zero. Even genuine covering says nothing about why, since a short may be closing at a profit, at a loss, or simply rebalancing. Check the raw share counts beside the percentage and whether a corporate action landed between the two settlement dates before treating a decrease as a signal.

Q How do traders screen for short squeeze candidates?
A

A squeeze needs three things together, and no single column identifies one. First, a crowded position: a high percentage of float, not merely a large share count. Second, difficulty exiting: a high days-to-cover figure, meaning ordinary volume cannot absorb the buying that covering requires. Third, a catalyst that forces the timing, such as an earnings surprise, a regulatory decision or a financing announcement. Screening on any one of the three in isolation produces mostly false positives. Rows marked as split-affected belong in none of it: a split between the two settlement dates rebases the share count, so their change reflects arithmetic rather than anyone trading, and they are marked precisely so they can be set aside.

Q Does high short interest mean a stock will fall?
A

No. Short interest records positioning, not outcomes. Institutions short for hedging as well as for directional bets, so a large position may be one leg of a trade rather than a view on the company. Heavily shorted stocks have both fallen and risen sharply; the data tells you who is positioned how, and nothing about who is right.