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 26 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%
7.1M → 7.1M
3.33%
15.4
$412.51M
Canada
Technology
1702
-0.76%
4.5M → 4.5M
7.33%of outstanding
12.7
$5.60B
United States
Consumer Cyclical
1703
-0.75%
15.9M → 15.8M
12.53%
9.0
$2.48B
United States
Healthcare
1704
-0.75%
79K → 78K
12.60%
1 day or less
$330.24M
United States
Energy
1705
-0.75%
5.4M → 5.3M
4.87%
5.7
$387.65M
United States
Consumer Defensive
1706
-0.74%
42.7M → 42.4M
8.22%of outstanding
3.3
$31.55B
United States
Energy
1707
-0.72%
111K → 110K
3.26%
12.6
$187.36M
United States
Financial Services
1708
-0.72%
17.8M → 17.7M
13.90%
7.4
$753.68M
United States
Consumer Cyclical
1709
-0.71%
12.0M → 11.9M
23.98%
10.4
$1.14B
Canada
Basic Materials
1710
-0.70%
12.5M → 12.4M
4.51%
10.0
$27.52B
United States
Utilities
1711
-0.70%
9.8M → 9.7M
2.29%
4.2
$29.65B
United States
Real Estate
1712
-0.70%
2.4M → 2.4M
23.57%
6.3
$4.14B
United States
Technology
1713
-0.70%
5.1M → 5.1M
3.96%
3.6
$853.47M
United States
Real Estate
1714
-0.69%
4.5M → 4.5M
12.12%
12.5
$789.81M
United States
Consumer Defensive
1715
-0.68%
1.4M → 1.4M
6.79%
7.3
$1.35B
United States
Consumer Cyclical
1716
-0.67%
1.8M → 1.8M
2.87%
1.0
$345.30M
United States
Financial Services
1717
-0.67%
94.2M → 93.6M
29.71%
2.1
$17.39B
Australia
Financial Services
1718
-0.67%
9.0M → 9.0M
11.41%
11.6
$3.35B
United States
Technology
1719
-0.66%
605K → 601K
2.51%
5.3
$1.32B
United States
Financial Services
1720
-0.66%
61.0M → 60.6M
14.80%
9.6
$2.16B
United States
Consumer Cyclical
1721
-0.66%
3.2M → 3.2M
17.64%
9.1
$900.00M
United States
Healthcare
1722
-0.65%
4.3M → 4.3M
11.36%
6.8
$239.94M
Canada
Technology
1723
-0.65%
17.0M → 16.9M
4.96%
6.0
$6.26B
United States
Real Estate
1724
-0.64%
30.7M → 30.5M
22.81%
9.3
$800.09M
United States
Utilities
1725
-0.64%
1.3M → 1.3M
3.33%
4.7
$213.81M
United States
Basic Materials
1726
-0.64%
27.6M → 27.4M
12.93%
10.9
$2.51B
Canada
Basic Materials
1727
-0.63%
146.3M → 145.4M
30.54%
8.1
$1.34B
United States
Technology
1728
-0.62%
40.2M → 40.0M
16.44%
3.0
$3.20B
United States
Technology
1729
-0.61%
1.8M → 1.8M
7.10%
47.7
$45.26M
United States
Consumer Defensive
1730
-0.60%
4.4M → 4.3M
9.73%
35.7
$181.81M
United States
Financial Services
1731
-0.60%
4.7M → 4.7M
7.52%
8.8
$2.85B
United States
Energy
1732
-0.59%
16.9M → 16.8M
1.40%
2.4
$152.93B
United States
Energy
1733
-0.58%
2.5M → 2.5M
0.81%
2.1
$2.58B
China
Consumer Cyclical
1734
-0.58%
8.5M → 8.5M
21.37%
24.9
$425.58M
Ireland
Healthcare
1735
-0.57%
19.1M → 19.0M
28.72%
29.6
$977.49M
United States
Healthcare
1736
-0.57%
1.7M → 1.6M
1.67%
3.1
$99.47B
United States
Real Estate
1737
-0.56%
17.9M → 17.8M
5.50%
4.8
$23.73B
United States
Financial Services
1738
-0.55%
1.3M → 1.3M
15.03%
1.3
$27.40M
United States
Technology
1739
-0.53%
174K → 173K
0.00%
2.2
$32.83B
Brazil
Financial Services
1740
-0.53%
30K → 30K
0.29%
1.1
$11.92M
United States
Industrials
1741
-0.53%
5.9M → 5.8M
5.47%
4.3
$1.20B
United States
Technology
1742
-0.52%
915K → 910K
2.61%
2.2
$58.38B
United States
Industrials
1743
-0.52%
8.5M → 8.5M
15.21%
12.3
$421.15M
United States
Healthcare
1744
-0.52%
33.0M → 32.8M
6.15%
4.0
$42.73B
United States
Technology
1745
-0.52%
509K → 507K
4.89%
10.4
$48.10M
United States
Financial Services
1746
-0.52%
39K → 39K
0.29%
19.9
$160.50M
Mexico
Financial Services
1747
-0.51%
498K → 495K
4.12%
3.0
$1.94B
United States
Industrials
1748
-0.51%
759K → 755K
5.23%
3.9
$2.60B
United States
Industrials
1749
-0.51%
136K → 136K
4.12%
15.4
$17.32M
United States
Consumer Cyclical
1750
-0.51%
83K → 83K
1.74%
3.3
$246.07M
United States
Industrials
1751
-0.50%
9.7M → 9.6M
6.90%
5.1
$900.28M
United States
Energy
1752
-0.50%
2.6M → 2.6M
10.36%
16.5
$1.20B
United States
Consumer Cyclical
1753
-0.49%
93.7M → 93.2M
11.12%
7.6
$1.51B
United States
Basic Materials
1754
-0.49%
4.4M → 4.4M
29.88%
9.9
$228.17M
United States
Technology
1755
-0.48%
7.2M → 7.2M
—
—
$1.56B
United States
Energy
1756
-0.48%
32K → 32K
1.29%
7.8
$22.60M
Singapore
Industrials
1757
-0.48%
10.7M → 10.7M
4.19%
4.0
$8.68B
United States
Industrials
1758
-0.46%
1.6M → 1.6M
6.48%
6.0
$390.07M
Italy
Utilities
1759
-0.45%
16.4M → 16.4M
6.26%
3.5
$9.14B
United States
Healthcare
1760
-0.44%
8.0M → 7.9M
5.23%
3.8
$23.21B
United States
Technology
1761
-0.44%
2.8M → 2.8M
8.65%
5.6
$3.64B
United States
Healthcare
1762
-0.44%
396K → 394K
4.72%
4.7
$1.86B
United States
Financial Services
1763
-0.44%
22.3M → 22.2M
19.63%
12.4
$4.43B
United States
Healthcare
1764
-0.43%
145K → 144K
0.86%
1.3
$257.47M
Israel
Technology
1765
-0.43%
3.1M → 3.1M
4.87%
8.2
$271.05M
United States
Healthcare
1766
-0.42%
3.3M → 3.3M
12.98%
12.0
$62.68M
United States
Technology
1767
-0.42%
16.4M → 16.3M
2.12%of outstanding
5.1
$3.85B
Canada
Utilities
1768
-0.42%
29.7M → 29.6M
23.84%
11.5
$1.49B
United States
Basic Materials
1769
-0.42%
130.3M → 129.8M
3.20%
8.8
$42.53B
India
Technology
1770
-0.42%
29.0M → 28.9M
9.12%
3.5
$7.31B
United States
Basic Materials
1771
-0.41%
13.2M → 13.2M
11.06%
12.7
$414.57M
United States
Healthcare
1772
-0.41%
897K → 894K
10.40%
7.1
$508.26M
United States
Healthcare
1773
-0.41%
3.7M → 3.7M
5.36%
4.7
$1.05B
United States
Healthcare
1774
-0.40%
8.0M → 8.0M
9.83%
6.8
$8.46B
United States
Technology
1775
-0.40%
5.6M → 5.6M
3.88%
5.5
$31.94B
United States
Financial Services
1776
-0.39%
2.6M → 2.6M
0.51%
2.0
$10.39B
United Kingdom
Industrials
1777
-0.37%
32.2M → 32.0M
3.17%
5.6
$41.56B
United States
Utilities
1778
-0.37%
252K → 251K
3.49%
36.6
$122.64M
United States
Financial Services
1779
-0.37%
430K → 429K
3.76%
9.3
$22.00M
Greece
Industrials
1780
-0.37%
7.9M → 7.9M
10.89%
4.7
$3.09B
United States
Consumer Cyclical
1781
-0.34%
24.0M → 23.9M
19.62%
16.8
$174.59M
United States
Healthcare
1782
-0.33%
76K → 76K
1.02%
4.8
$301.99M
United States
Financial Services
1783
-0.33%
370K → 369K
2.15%
8.4
$363.25M
United States
Real Estate
1784
-0.31%
38.4M → 38.3M
20.14%
10.9
$240.91M
United States
Energy
1785
-0.31%
19.5M → 19.4M
20.70%
12.9
$650.17M
United States
Consumer Cyclical
1786
-0.30%
14.8M → 14.7M
8.94%
11.8
$6.85B
Ireland
Healthcare
1787
-0.30%
11.6M → 11.6M
10.14%
4.0
$919.76M
United States
Consumer Defensive
1788
-0.30%
128K → 128K
2.25%
2.4
$11.56M
Israel
Technology
1789
-0.30%
46.4M → 46.2M
25.25%
6.3
$382.67M
United States
Industrials
1790
-0.29%
4.8M → 4.8M
2.37%
3.5
$18.45B
United States
Technology
1791
-0.29%
18.7M → 18.7M
17.90%
8.4
$295.50M
United States
Consumer Cyclical
1792
-0.28%
6.3M → 6.3M
13.30%
32.7
$36.14M
United States
Healthcare
1793
-0.28%
376K → 375K
3.31%
4.2
$898.55M
United States
Financial Services
1794
-0.27%
245K → 245K
2.30%
8.5
$12.41M
United States
Financial Services
1795
-0.27%
995K → 993K
17.16%
18.4
$41.59M
United States
Communication Services
1796
-0.26%
9.4M → 9.4M
4.71%
7.7
$25.11B
United States
Healthcare
1797
-0.26%
3.2M → 3.1M
25.67%
5.9
$308.12M
United States
Consumer Cyclical
1798
-0.25%
10.4M → 10.3M
2.32%
13.4
$11.49B
Netherlands
Consumer Defensive
1799
-0.24%
14.1M → 14.1M
18.28%
7.0
$1.31B
United States
Consumer Cyclical
1800
-0.22%
2.2M → 2.2M
10.01%
13.1
$81.27M
Brazil
Basic Materials
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

QNC leads this ranking, followed by RUSHA and NEO. 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.