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 15, 2026
next publication (FINRA schedule) Oct 9, 2026
data 22 days old
Reporting period September 2026
Direction Falling short interest
Page 11 of 18

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
1001
-4.92%
12.4M → 11.8M
9.99%
9.8
$2.22B
United States
Technology
1002
-4.91%
8.2M → 7.8M
6.49%
6.6
$7.58B
United States
Utilities
1003
-4.89%
606K → 576K
4.76%
3.5
$2.14B
United States
Consumer Cyclical
1004
-4.89%
577K → 549K
2.14%
2.5
$142.89M
United States
Healthcare
1005
-4.88%
80K → 76K
1.46%
2.8
$40.23M
United States
Technology
1006
-4.88%
71.5M → 68.0M
18.47%
4.7
$5.99B
United States
Technology
1007
-4.88%
69.6M → 66.2M
26.10%
3.5
$1.12B
United States
Industrials
1008
-4.86%
1.4M → 1.3M
5.92%
6.3
$957.96M
United States
Healthcare
1009
-4.85%
4.8M → 4.5M
9.92%
5.9
$2.41B
United States
Industrials
1010
-4.84%
14.8M → 14.1M
10.09%
11.4
$74.19M
United States
Industrials
1011
-4.84%
2.1M → 2.0M
5.21%
3.8
$12.94B
United States
Industrials
1012
-4.84%
78K → 75K
11.71%
1 day or less
$332.74M
United States
Energy
1013
-4.83%
57K → 54K
0.71%
1.1
$28.51M
Denmark
Healthcare
1014
-4.83%
30.3M → 28.8M
5.19%
5.5
$4.84B
United States
Real Estate
1015
-4.83%
1.7M → 1.6M
2.08%
3.0
$22.21B
United States
Technology
1016
-4.82%
1.1M → 1.0M
6.99%
4.0
$278.81M
United States
Consumer Defensive
1017
-4.82%
944K → 898K
1.95%
3.9
$28.84B
United States
Technology
1018
-4.81%
20.6M → 19.6M
1.14%
2.7
$179.63B
United States
Communication Services
1019
-4.80%
8.1M → 7.7M
6.03%
6.3
$3.24B
United States
Technology
1020
-4.79%
8.1M → 7.8M
1.96%of outstanding
2.2
$11.97B
Canada
Basic Materials
1021
-4.79%
106K → 101K
2.54%
4.3
$24.13M
United States
Healthcare
1022
-4.78%
4.5M → 4.3M
2.36%
3.4
$60.37B
United States
Healthcare
1023
-4.77%
15.2M → 14.4M
11.47%
12.3
$363.75M
United States
Technology
1024
-4.77%
6.7M → 6.4M
2.54%
4.5
$58.92B
United States
Financial Services
1025
-4.77%
44.1M → 42.0M
2.06%
5.8
$121.73B
United States
Healthcare
1026
-4.77%
29.5M → 28.1M
25.40%
5.2
$12.99B
United States
Healthcare
1027
-4.75%
58K → 55K
0.23%
7.8
$151.31M
China
Consumer Cyclical
1028
-4.75%
22.6M → 21.5M
23.47%
18.8
$2.70B
United States
Healthcare
1029
-4.74%
10.2M → 9.7M
14.22%
6.3
$3.68B
United States
Basic Materials
1030
-4.74%
3.0M → 2.9M
2.76%
3.2
$32.40B
United States
Technology
1031
-4.74%
7.9M → 7.5M
0.80%
3.4
$1.03T
United States
Healthcare
1032
-4.72%
8.8M → 8.4M
1.51%
3.9
$90.03B
United States
Industrials
1033
-4.72%
11.4M → 10.9M
7.11%
5.5
$5.59B
Bermuda
Technology
1034
-4.72%
4.2M → 4.0M
6.29%
4.1
$6.53B
United States
Healthcare
1035
-4.71%
3.9M → 3.7M
9.58%
7.0
$5.80B
United States
Financial Services
1036
-4.71%
2.9M → 2.8M
7.60%
3.8
$21.97B
United States
Consumer Cyclical
1037
-4.71%
21.7M → 20.7M
23.99%
14.7
$1.55B
United States
Healthcare
1038
-4.68%
4.9M → 4.6M
17.64%
2.3
$162.45M
United States
Financial Services
1039
-4.66%
9.8M → 9.3M
6.77%
6.0
$2.65B
Luxembourg
Consumer Cyclical
1040
-4.66%
4.4M → 4.2M
7.36%
2.7
$6.07B
United States
Consumer Defensive
1041
-4.65%
1.0M → 984K
0.74%of outstanding
6.2
$9.45B
Israel
Utilities
1042
-4.64%
22.2M → 21.1M
8.04%
2.8
$6.28B
United States
Industrials
1043
-4.63%
16.9M → 16.1M
4.73%
4.9
$5.91B
United States
Real Estate
1044
-4.63%
8.0M → 7.6M
6.85%
3.1
$5.64B
United States
Technology
1045
-4.62%
2.7M → 2.6M
6.35%
9.4
$126.58M
United States
Industrials
1046
-4.59%
720K → 687K
2.05%
4.7
$49.84M
United States
Consumer Cyclical
1047
-4.58%
2.3M → 2.2M
4.25%
3.0
$7.00B
United States
Financial Services
1048
-4.57%
6.3M → 6.0M
2.40%
4.0
$56.71B
United States
Financial Services
1049
-4.57%
2.3M → 2.2M
3.01%
4.7
$136.34M
United States
Real Estate
1050
-4.56%
474K → 452K
6.70%
4.7
$315.46M
United States
Consumer Cyclical
1051
-4.56%
2.0M → 1.9M
4.03%
3.1
$72.42B
United States
Technology
1052
-4.56%
102K → 97K
3.27%
3.2
$13.13M
United States
Healthcare
1053
-4.56%
540K → 516K
1.20%
1.7
$943.55M
Canada
Basic Materials
1054
-4.54%
4.5M → 4.3M
21.10%
14.8
$66.55M
United States
Technology
1055
-4.53%
755K → 721K
5.85%of outstanding
5.0
$3.52B
United States
Technology
1056
-4.53%
23.3M → 22.2M
10.64%
3.5
$235.14M
United States
Consumer Cyclical
1057
-4.53%
18.4M → 17.6M
2.44%
7.6
$162.69B
United States
Real Estate
1058
-4.50%
21.8M → 20.8M
2.37%
3.4
$71.96B
United States
Consumer Cyclical
1059
-4.50%
5.9M → 5.6M
4.66%
5.6
$14.16B
United States
Real Estate
1060
-4.49%
12.7M → 12.1M
8.18%
7.5
$4.64B
United States
Healthcare
1061
-4.48%
9.0M → 8.6M
6.92%
11.1
$2.09B
Canada
Healthcare
1062
-4.48%
18.2M → 17.4M
2.45%
24.7
$4.71B
United States
Energy
1063
-4.46%
23.9M → 22.8M
18.75%
32.8
$159.14M
United States
Healthcare
1064
-4.46%
773K → 739K
3.44%
5.3
$383.89M
United States
Financial Services
1065
-4.44%
2.7M → 2.6M
2.39%
3.5
$11.71B
United States
Consumer Cyclical
1066
-4.44%
4.1M → 3.9M
6.52%
10.6
$7.21B
United States
Industrials
1067
-4.43%
4.3M → 4.1M
5.01%
6.6
$2.95B
United States
Utilities
1068
-4.43%
5.5M → 5.2M
7.31%
6.2
$8.64B
United States
Real Estate
1069
-4.42%
21.8M → 20.8M
1.22%
4.3
$83.24B
Canada
Financial Services
1070
-4.41%
12.3M → 11.8M
9.76%
6.9
$3.04B
United States
Financial Services
1071
-4.41%
98.6M → 94.3M
11.01%
3.1
$26.12B
United States
Consumer Defensive
1072
-4.41%
3.6M → 3.4M
4.37%
3.2
$333.62M
United States
Industrials
1073
-4.41%
1.8M → 1.7M
18.62%
8.1
$156.78M
United States
Healthcare
1074
-4.40%
2.5M → 2.4M
7.59%
11.8
$191.32M
United States
Healthcare
1075
-4.40%
3.6M → 3.4M
5.84%
3.3
$5.09B
—
—
1076
-4.40%
2.0M → 1.9M
2.89%
2.0
$10.74B
United States
Consumer Cyclical
1077
-4.40%
25.1M → 24.0M
1.54%
3.8
$89.26B
United States
Financial Services
1078
-4.39%
657K → 628K
0.63%
28.6
$498.93M
Hong Kong
Financial Services
1079
-4.38%
2.1M → 2.0M
3.03%
7.5
$855.49M
Canada
Basic Materials
1080
-4.36%
48.6M → 46.5M
2.40%
4.1
$71.61B
United States
Energy
1081
-4.35%
75K → 71K
2.11%
1.7
$242.03M
United States
Consumer Defensive
1082
-4.35%
37.0M → 35.4M
5.02%
4.2
$20.34B
United States
Basic Materials
1083
-4.35%
30.4M → 29.1M
12.34%
6.2
$1.63B
Canada
Basic Materials
1084
-4.32%
130K → 124K
1.50%
9.6
$225.27M
United States
Utilities
1085
-4.31%
7.2M → 6.9M
13.98%
3.6
$476.82M
United States
Communication Services
1086
-4.30%
756K → 724K
5.91%
10.0
$73.70M
United States
Financial Services
1087
-4.30%
14.0M → 13.4M
5.18%
4.0
$19.04B
Netherlands
Basic Materials
1088
-4.29%
6.6M → 6.3M
5.88%
3.3
$78.83M
United States
Consumer Defensive
1089
-4.29%
1.0M → 1.0M
0.96%of outstanding
2.6
$54.21M
Canada
Basic Materials
1090
-4.29%
6.2M → 6.0M
25.28%
3.8
$5.37B
United States
Utilities
1091
-4.29%
58.0M → 55.5M
1.02%
1 day or less
$61.42B
Finland
Technology
1092
-4.28%
562K → 538K
2.76%
5.4
$41.74M
United States
Technology
1093
-4.27%
525K → 503K
3.83%
4.1
$1.04B
United States
Real Estate
1094
-4.27%
2.2M → 2.1M
4.29%
3.8
$6.02B
United States
Consumer Cyclical
1095
-4.26%
3.6M → 3.5M
6.07%
2.6
$8.14B
United States
Industrials
1096
-4.25%
10.8M → 10.3M
11.40%
3.3
$6.55B
United States
Consumer Cyclical
1097
-4.23%
243K → 233K
1.16%
2.1
$58.65M
United States
Industrials
1098
-4.22%
68K → 65K
0.73%
4.2
$39.25M
United States
Consumer Cyclical
1099
-4.22%
1.1M → 1.1M
1.80%
1.9
$19.64B
United States
Industrials
1100
-4.21%
27.8M → 26.6M
19.30%
10.1
$29.08B
United States
Communication Services
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

FLYW leads this ranking, followed by CWEN and MCRI. 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 15, 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.