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 17 days old
Reporting period September 2026
Direction Falling short interest
Page 18 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
1701
-0.40%
448K → 447K
0.70%
1.8
$4.18B
Argentina
Financial Services
1702
-0.40%
5.6M → 5.6M
13.43%
5.2
$8.14B
United States
Consumer Cyclical
1703
-0.40%
24.7M → 24.6M
11.05%
29.8
$853.29M
Canada
Basic Materials
1704
-0.39%
63K → 63K
0.51%
1 day or less
$84.08M
United States
Financial Services
1705
-0.39%
2.1M → 2.0M
8.59%
4.9
$4.27B
United States
Financial Services
1706
-0.39%
3.6M → 3.6M
12.40%
4.3
$486.52M
China
Technology
1707
-0.38%
3.7M → 3.7M
3.13%
10.3
$2.83B
Canada
Basic Materials
1708
-0.38%
1.0M → 1.0M
3.21%
3.2
$3.93B
Singapore
Communication Services
1709
-0.37%
7.0M → 7.0M
4.81%
3.9
$9.20B
United States
Financial Services
1710
-0.37%
5.8M → 5.8M
1.45%
2.6
$80.70B
United States
Industrials
1711
-0.36%
18.2M → 18.2M
9.23%
5.2
$19.78B
United States
Consumer Cyclical
1712
-0.36%
526K → 525K
0.23%
11.4
$301.37M
China
Consumer Cyclical
1713
-0.35%
1.4M → 1.4M
4.69%
7.3
$41.74M
United States
Healthcare
1714
-0.34%
4.4M → 4.4M
7.96%
10.3
$163.10M
United States
Healthcare
1715
-0.33%
40.0M → 39.9M
3.50%
7.2
$108.16B
United States
Consumer Cyclical
1716
-0.32%
576K → 574K
14.49%
11.8
$362.03M
United States
Communication Services
1717
-0.31%
186K → 186K
1.45%
15.1
$75.56M
United States
Financial Services
1718
-0.31%
3.2M → 3.2M
30.87%
14.9
$927.18M
United States
Technology
1719
-0.31%
4.8M → 4.8M
11.66%
23.0
$3.71B
United States
Industrials
1720
-0.31%
429K → 428K
3.75%
8.5
$21.76M
Greece
Industrials
1721
-0.30%
3.0M → 3.0M
7.53%
6.7
$1.14B
United States
Financial Services
1722
-0.30%
1.6M → 1.6M
8.33%of outstanding
10.3
$11.92B
United States
Industrials
1723
-0.29%
11.1M → 11.0M
8.60%
6.6
$23.45B
United States
Healthcare
1724
-0.29%
7.8M → 7.8M
15.24%
20.6
$1.57B
United Kingdom
Healthcare
1725
-0.28%
23.3M → 23.2M
4.51%
4.5
$12.22B
United States
Healthcare
1726
-0.28%
1.0M → 1.0M
4.25%
6.4
$3.00B
United States
Utilities
1727
-0.27%
3.3M → 3.3M
7.37%
11.7
$1.73B
United States
Healthcare
1728
-0.27%
1.9M → 1.9M
7.62%
5.6
$1.71B
United States
Real Estate
1729
-0.27%
30.5M → 30.4M
22.74%
7.9
$707.36M
United States
Utilities
1730
-0.27%
2.7M → 2.7M
7.18%
4.8
$1.24B
United States
Industrials
1731
-0.26%
6.4M → 6.4M
12.38%
6.8
$1.40B
United States
Consumer Cyclical
1732
-0.26%
299K → 298K
4.93%
2.3
$1.10B
United States
Industrials
1733
-0.26%
69.8M → 69.6M
7.34%
5.3
$5.77B
United States
Communication Services
1734
-0.26%
7.0M → 7.0M
3.29%
4.4
$92.52B
United States
Consumer Cyclical
1735
-0.26%
8.4M → 8.4M
9.32%
16.4
$5.16B
United States
Financial Services
1736
-0.26%
4.8M → 4.8M
5.28%
8.1
$983.55M
United States
Utilities
1737
-0.25%
7.2M → 7.2M
6.35%
24.3
$81.99M
United States
Consumer Defensive
1738
-0.24%
3.3M → 3.3M
8.62%of outstanding
5.9
$2.94B
United States
Industrials
1739
-0.24%
8.0M → 8.0M
16.30%
14.9
$2.77B
United States
Industrials
1740
-0.24%
153K → 152K
0.81%
2.1
$69.60M
China
Financial Services
1741
-0.24%
179.1M → 178.7M
34.08%
12.6
$2.18B
United States
Healthcare
1742
-0.24%
794K → 792K
1.49%of outstanding
30.6
$1.83B
United States
Financial Services
1743
-0.24%
19.5M → 19.5M
17.30%
15.7
$2.15B
United States
Healthcare
1744
-0.23%
351K → 350K
1.26%
4.8
$2.19B
Canada
Consumer Cyclical
1745
-0.23%
4.4M → 4.4M
16.39%
12.8
$1.88B
United States
Healthcare
1746
-0.23%
3.4M → 3.4M
8.98%
11.4
$337.18M
Isle of Man
Basic Materials
1747
-0.22%
33K → 33K
0.58%
3.8
$23.33M
United States
Technology
1748
-0.22%
6.6M → 6.5M
15.42%
10.3
$119.40M
United States
Technology
1749
-0.21%
1.1M → 1.1M
5.69%
3.3
$46.11M
United States
Technology
1750
-0.20%
84.1M → 84.0M
24.75%of outstanding
7.6
$1.93B
United States
Financial Services
1751
-0.19%
21.3M → 21.2M
9.91%of outstanding
10.0
$106.63M
Israel
Consumer Cyclical
1752
-0.19%
13.7M → 13.6M
1.98%
3.6
$84.27B
United States
Financial Services
1753
-0.19%
1.2M → 1.2M
5.99%
4.8
$646.45M
United States
Industrials
1754
-0.18%
3.0M → 3.0M
12.94%
8.9
$625.39M
United States
Consumer Defensive
1755
-0.18%
125.6M → 125.4M
31.27%
15.9
$9.84B
United States
Healthcare
1756
-0.18%
3.0M → 3.0M
4.15%
2.3
$23.04B
United States
Technology
1757
-0.17%
13.9M → 13.9M
12.96%
9.9
$3.22B
United States
Real Estate
1758
-0.17%
98K → 97K
0.84%
9.0
$104.21M
United States
Real Estate
1759
-0.16%
10.2M → 10.2M
9.27%
4.1
$1.40B
United States
Technology
1760
-0.16%
813K → 812K
4.06%
12.2
$58.92M
United States
Healthcare
1761
-0.16%
20.9M → 20.9M
12.70%
5.2
$7.31B
United States
Healthcare
1762
-0.16%
12.7M → 12.7M
14.50%of outstanding
7.0
$5.67B
United States
Technology
1763
-0.15%
10.3M → 10.3M
15.73%
20.1
$6.43B
United States
Healthcare
1764
-0.14%
1.2M → 1.2M
4.02%
2.2
$15.45B
United States
Industrials
1765
-0.13%
69K → 69K
0.55%
7.6
$53.33M
United States
Industrials
1766
-0.12%
10.1M → 10.1M
4.99%
5.0
$341.56M
United States
Technology
1767
-0.11%
3.2M → 3.1M
10.99%
20.7
$1.01B
United States
Healthcare
1768
-0.10%
19.5M → 19.5M
1.10%
4.5
$459.33B
United States
Healthcare
1769
-0.10%
3.5M → 3.5M
2.92%
11.2
$67.96B
Italy
Consumer Cyclical
1770
-0.09%
7.3M → 7.3M
7.58%
5.7
$3.82B
United States
Energy
1771
-0.09%
2.0M → 2.0M
5.87%
5.5
$402.99M
United States
Consumer Defensive
1772
-0.08%
3.4M → 3.4M
0.50%
8.8
$4.97B
Spain
Healthcare
1773
-0.08%
3.3M → 3.3M
7.38%
5.5
$1.52B
United States
Healthcare
1774
-0.07%
981K → 980K
9.82%
2.5
$969.16M
United States
Technology
1775
-0.07%
8.8M → 8.8M
3.29%
4.6
$262.99B
United States
Industrials
1776
-0.07%
27.8M → 27.8M
13.80%
10.4
$538.51M
United States
Consumer Cyclical
1777
-0.06%
826K → 826K
1.75%
2.0
$85.43B
Uruguay
Consumer Cyclical
1778
-0.05%
4.7M → 4.7M
11.66%
5.7
$15.17B
United States
Consumer Cyclical
1779
-0.04%
3.5M → 3.5M
19.98%
6.7
$502.79M
United States
Technology
1780
-0.03%
237K → 237K
3.13%
9.3
$203.09M
United States
Basic Materials
1781
-0.03%
3.3M → 3.3M
21.43%
14.1
$237.31M
United States
Energy
1782
-0.03%
7.9M → 7.9M
2.91%
8.2
$618.82M
Canada
Basic Materials
1783
-0.03%
64.7M → 64.7M
32.54%
11.3
$1.90B
United States
Technology
1784
-0.03%
4.5M → 4.5M
12.12%
19.7
$781.02M
United States
Consumer Defensive
1785
-0.02%
5.5M → 5.5M
9.50%
6.0
$5.53B
United States
Industrials
1786
-0.02%
1.3M → 1.3M
2.55%
3.5
$3.33B
Bermuda
Financial Services
1787
-0.02%
8.8M → 8.8M
3.09%
7.2
$74.29B
United States
Industrials
1788
-0.02%
5.8M → 5.8M
5.82%
5.0
$162.41M
Canada
Basic Materials
1789
-0.01%
55K → 55K
0.48%
334.4
$158.75M
United States
Financial Services
1790
-0.01%
2.2M → 2.2M
5.33%
10.8
$981.36M
United States
Healthcare
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

BMA leads this ranking, followed by EAT and OGG. 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.