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 Aug 31, 2026
next publication (FINRA schedule) Sep 24, 2026
data 25 days old
Reporting period August 2026
Direction Falling short interest
Page 18 of 19

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
-0.76%
23.2M → 23.0M
1.86%
4.2
$185.61B
United States
Healthcare
1702
-0.76%
7.1M → 7.1M
3.33%
15.4
$414.70M
Canada
Technology
1703
-0.76%
4.5M → 4.5M
7.33%of outstanding
12.7
$5.60B
United States
Consumer Cyclical
1704
-0.75%
15.9M → 15.8M
12.53%
9.0
$2.51B
United States
Healthcare
1705
-0.75%
79K → 78K
12.60%
1 day or less
$333.69M
United States
Energy
1706
-0.75%
5.4M → 5.3M
4.87%
5.7
$381.53M
United States
Consumer Defensive
1707
-0.74%
42.7M → 42.4M
8.22%of outstanding
3.3
$33.08B
United States
Energy
1708
-0.72%
111K → 110K
3.26%
12.6
$183.11M
United States
Financial Services
1709
-0.72%
17.8M → 17.7M
13.90%
7.4
$750.11M
United States
Consumer Cyclical
1710
-0.71%
12.0M → 11.9M
23.98%
10.4
$1.11B
Canada
Basic Materials
1711
-0.70%
12.5M → 12.4M
4.51%
10.0
$27.46B
United States
Utilities
1712
-0.70%
9.8M → 9.7M
2.29%
4.2
$29.55B
United States
Real Estate
1713
-0.70%
2.4M → 2.4M
23.57%
6.3
$4.23B
United States
Technology
1714
-0.70%
5.1M → 5.1M
3.96%
3.6
$839.22M
United States
Real Estate
1715
-0.69%
4.5M → 4.5M
12.12%
12.5
$778.09M
United States
Consumer Defensive
1716
-0.68%
1.4M → 1.4M
6.79%
7.3
$1.33B
United States
Consumer Cyclical
1717
-0.67%
1.8M → 1.8M
2.87%
1.0
$347.99M
United States
Financial Services
1718
-0.67%
94.2M → 93.6M
29.71%
2.1
$18.19B
Australia
Financial Services
1719
-0.67%
9.0M → 9.0M
11.41%
11.6
$3.36B
United States
Technology
1720
-0.66%
605K → 601K
2.51%
5.3
$1.31B
United States
Financial Services
1721
-0.66%
61.0M → 60.6M
14.80%
9.6
$2.10B
United States
Consumer Cyclical
1722
-0.66%
3.2M → 3.2M
17.64%
9.1
$894.58M
United States
Healthcare
1723
-0.65%
4.3M → 4.3M
11.36%
6.8
$250.07M
Canada
Technology
1724
-0.65%
17.0M → 16.9M
4.96%
6.0
$6.19B
United States
Real Estate
1725
-0.64%
30.7M → 30.5M
22.81%
9.3
$781.91M
United States
Utilities
1726
-0.64%
1.3M → 1.3M
3.33%
4.7
$197.40M
United States
Basic Materials
1727
-0.64%
27.6M → 27.4M
12.93%
10.9
$2.51B
Canada
Basic Materials
1728
-0.63%
146.3M → 145.4M
30.54%
8.1
$1.34B
United States
Technology
1729
-0.62%
40.2M → 40.0M
16.44%
3.0
$3.11B
United States
Technology
1730
-0.61%
1.8M → 1.8M
7.10%
47.7
$44.84M
United States
Consumer Defensive
1731
-0.60%
4.4M → 4.3M
9.73%
35.7
$182.82M
United States
Financial Services
1732
-0.60%
4.7M → 4.7M
7.52%
8.8
$2.91B
United States
Energy
1733
-0.59%
16.9M → 16.8M
1.40%
2.4
$155.38B
United States
Energy
1734
-0.58%
2.5M → 2.5M
0.79%
2.1
$2.62B
China
Consumer Cyclical
1735
-0.58%
8.5M → 8.5M
21.37%
24.9
$427.12M
Ireland
Healthcare
1736
-0.57%
19.1M → 19.0M
28.72%
29.6
$992.63M
United States
Healthcare
1737
-0.57%
1.7M → 1.6M
1.67%
3.1
$102.10B
United States
Real Estate
1738
-0.56%
17.9M → 17.8M
5.50%
4.8
$23.28B
United States
Financial Services
1739
-0.55%
1.3M → 1.3M
15.03%
1.3
$28.11M
United States
Technology
1740
-0.53%
174K → 173K
0.00%
2.2
$32.61B
Brazil
Financial Services
1741
-0.53%
30K → 30K
0.29%
1.1
$12.23M
United States
Industrials
1742
-0.53%
5.9M → 5.8M
5.47%
4.3
$1.19B
United States
Technology
1743
-0.52%
915K → 910K
2.61%
2.2
$57.84B
United States
Industrials
1744
-0.52%
8.5M → 8.5M
15.21%
12.3
$432.29M
United States
Healthcare
1745
-0.52%
33.0M → 32.8M
6.15%
4.0
$40.56B
United States
Technology
1746
-0.52%
509K → 507K
4.89%
10.4
$47.97M
United States
Financial Services
1747
-0.52%
39K → 39K
0.29%
19.9
$160.50M
Mexico
Financial Services
1748
-0.51%
498K → 495K
4.12%
3.0
$1.94B
United States
Industrials
1749
-0.51%
759K → 755K
5.23%
3.9
$2.64B
United States
Industrials
1750
-0.51%
136K → 136K
4.12%
15.4
$17.42M
United States
Consumer Cyclical
1751
-0.51%
83K → 83K
1.74%
3.3
$245.86M
United States
Industrials
1752
-0.50%
9.7M → 9.6M
6.90%
5.1
$892.88M
United States
Energy
1753
-0.50%
2.6M → 2.6M
10.36%
16.5
$1.21B
United States
Consumer Cyclical
1754
-0.49%
93.7M → 93.2M
11.86%
7.6
$1.50B
United States
Basic Materials
1755
-0.49%
4.4M → 4.4M
29.88%
9.9
$228.71M
United States
Technology
1756
-0.48%
7.2M → 7.2M
5.22%
5.4
$1.56B
United States
Energy
1757
-0.48%
32K → 32K
1.29%
7.8
$22.89M
Singapore
Industrials
1758
-0.48%
10.7M → 10.7M
4.19%
4.0
$8.61B
United States
Industrials
1759
-0.46%
1.6M → 1.6M
6.48%
6.0
$401.12M
Italy
Utilities
1760
-0.45%
16.4M → 16.4M
6.26%
3.5
$8.91B
United States
Healthcare
1761
-0.44%
8.0M → 7.9M
5.23%
3.8
$22.71B
United States
Technology
1762
-0.44%
2.8M → 2.8M
8.65%
5.6
$3.65B
United States
Healthcare
1763
-0.44%
396K → 394K
4.72%
4.7
$1.85B
United States
Financial Services
1764
-0.44%
22.3M → 22.2M
19.63%
12.4
$4.29B
United States
Healthcare
1765
-0.43%
145K → 144K
0.86%
1.3
$254.33M
Israel
Technology
1766
-0.43%
3.1M → 3.1M
4.87%
8.2
$271.05M
United States
Healthcare
1767
-0.42%
3.3M → 3.3M
12.98%
12.0
$65.09M
United States
Technology
1768
-0.42%
16.4M → 16.3M
2.12%of outstanding
5.1
$3.86B
Canada
Utilities
1769
-0.42%
29.7M → 29.6M
23.84%
11.5
$1.49B
United States
Basic Materials
1770
-0.42%
130.3M → 129.8M
3.20%
8.8
$42.53B
India
Technology
1771
-0.42%
29.0M → 28.9M
9.12%
3.5
$7.53B
United States
Basic Materials
1772
-0.41%
13.2M → 13.2M
11.06%
12.7
$406.11M
United States
Healthcare
1773
-0.41%
897K → 894K
10.40%
7.1
$525.04M
United States
Healthcare
1774
-0.41%
3.7M → 3.7M
5.36%
4.7
$1.06B
United States
Healthcare
1775
-0.40%
8.0M → 8.0M
9.83%
6.8
$8.28B
United States
Technology
1776
-0.40%
5.6M → 5.6M
3.88%
5.5
$31.58B
United States
Financial Services
1777
-0.39%
2.6M → 2.6M
0.51%
2.0
$10.34B
United Kingdom
Industrials
1778
-0.37%
32.2M → 32.0M
3.17%
5.6
$41.42B
United States
Utilities
1779
-0.37%
252K → 251K
3.49%
36.6
$122.64M
United States
Financial Services
1780
-0.37%
430K → 429K
3.76%
9.3
$21.88M
Greece
Industrials
1781
-0.37%
7.9M → 7.9M
10.89%
4.7
$3.06B
United States
Consumer Cyclical
1782
-0.34%
24.0M → 23.9M
19.62%
16.8
$180.77M
United States
Healthcare
1783
-0.33%
76K → 76K
1.02%
4.8
$300.56M
United States
Financial Services
1784
-0.33%
370K → 369K
2.15%
8.4
$363.02M
United States
Real Estate
1785
-0.31%
38.4M → 38.3M
20.14%
10.9
$237.02M
United States
Energy
1786
-0.31%
19.5M → 19.4M
20.70%
12.9
$655.90M
United States
Consumer Cyclical
1787
-0.30%
14.8M → 14.7M
8.94%
11.8
$6.84B
Ireland
Healthcare
1788
-0.30%
11.6M → 11.6M
10.14%
4.0
$894.18M
United States
Consumer Defensive
1789
-0.30%
128K → 128K
2.25%
2.4
$10.88M
Israel
Technology
1790
-0.30%
46.4M → 46.2M
25.25%
6.3
$369.17M
United States
Industrials
1791
-0.29%
4.8M → 4.8M
2.37%
3.5
$18.42B
United States
Technology
1792
-0.29%
18.7M → 18.7M
17.90%
8.4
$292.87M
United States
Consumer Cyclical
1793
-0.28%
6.3M → 6.3M
13.30%
32.7
$37.33M
United States
Healthcare
1794
-0.28%
376K → 375K
3.31%
4.2
$894.51M
United States
Financial Services
1795
-0.27%
245K → 245K
2.30%
8.5
$12.41M
United States
Financial Services
1796
-0.27%
995K → 993K
17.16%
18.4
$42.04M
United States
Communication Services
1797
-0.26%
9.4M → 9.4M
4.71%
7.7
$25.22B
United States
Healthcare
1798
-0.26%
3.2M → 3.1M
25.67%
5.9
$289.63M
United States
Consumer Cyclical
1799
-0.25%
10.4M → 10.3M
2.32%
13.4
$11.67B
Netherlands
Consumer Defensive
1800
-0.24%
14.1M → 14.1M
18.28%
7.0
$1.30B
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 August 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

GILD leads this ranking, followed by QNC and RUSHA. 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 Aug 31, 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.