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 16 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
-0.39%
3.6M → 3.6M
12.40%
4.3
$498.04M
China
Technology
1702
-0.38%
3.7M → 3.7M
3.13%
10.3
$2.91B
Canada
Basic Materials
1703
-0.38%
1.0M → 1.0M
3.21%
3.2
$3.93B
Singapore
Communication Services
1704
-0.37%
7.0M → 7.0M
4.81%
3.9
$9.30B
United States
Financial Services
1705
-0.37%
5.8M → 5.8M
1.45%
2.6
$81.51B
United States
Industrials
1706
-0.36%
18.2M → 18.2M
9.23%
5.2
$19.65B
United States
Consumer Cyclical
1707
-0.36%
526K → 525K
0.23%
11.4
$290.37M
China
Consumer Cyclical
1708
-0.35%
1.4M → 1.4M
4.69%
7.3
$40.04M
United States
Healthcare
1709
-0.34%
4.4M → 4.4M
7.96%
10.3
$180.24M
United States
Healthcare
1710
-0.33%
40.0M → 39.9M
3.50%
7.2
$107.11B
United States
Consumer Cyclical
1711
-0.32%
576K → 574K
14.49%
11.8
$345.15M
United States
Communication Services
1712
-0.31%
186K → 186K
1.45%
15.1
$78.27M
United States
Financial Services
1713
-0.31%
3.2M → 3.2M
30.87%
14.9
$915.11M
United States
Technology
1714
-0.31%
4.8M → 4.8M
11.66%
23.0
$3.70B
United States
Industrials
1715
-0.31%
429K → 428K
3.75%
8.5
$21.76M
Greece
Industrials
1716
-0.30%
3.0M → 3.0M
7.53%
6.7
$1.13B
United States
Financial Services
1717
-0.30%
1.6M → 1.6M
8.33%of outstanding
10.3
$11.76B
United States
Industrials
1718
-0.29%
11.1M → 11.0M
8.60%
6.6
$23.94B
United States
Healthcare
1719
-0.29%
7.8M → 7.8M
15.24%
20.6
$1.56B
United Kingdom
Healthcare
1720
-0.28%
23.3M → 23.2M
4.51%
4.5
$12.41B
United States
Healthcare
1721
-0.28%
1.0M → 1.0M
4.25%
6.4
$3.10B
United States
Utilities
1722
-0.27%
3.3M → 3.3M
7.37%
11.7
$1.76B
United States
Healthcare
1723
-0.27%
1.9M → 1.9M
7.62%
5.6
$1.71B
United States
Real Estate
1724
-0.27%
30.5M → 30.4M
22.74%
7.9
$721.90M
United States
Utilities
1725
-0.27%
2.7M → 2.7M
7.18%
4.8
$1.23B
United States
Industrials
1726
-0.26%
6.4M → 6.4M
12.38%
6.8
$1.34B
United States
Consumer Cyclical
1727
-0.26%
299K → 298K
4.93%
2.3
$1.03B
United States
Industrials
1728
-0.26%
69.8M → 69.6M
7.34%
5.3
$5.78B
United States
Communication Services
1729
-0.26%
7.0M → 7.0M
3.29%
4.4
$92.75B
United States
Consumer Cyclical
1730
-0.26%
8.4M → 8.4M
9.32%
16.4
$5.08B
United States
Financial Services
1731
-0.26%
4.8M → 4.8M
5.28%
8.1
$987.32M
United States
Utilities
1732
-0.25%
7.2M → 7.2M
6.35%
24.3
$81.99M
United States
Consumer Defensive
1733
-0.24%
3.3M → 3.3M
8.62%of outstanding
5.9
$2.90B
United States
Industrials
1734
-0.24%
8.0M → 8.0M
16.30%
14.9
$2.71B
United States
Industrials
1735
-0.24%
153K → 152K
0.81%
2.1
$73.26M
China
Financial Services
1736
-0.24%
179.1M → 178.7M
34.08%
12.6
$2.21B
United States
Healthcare
1737
-0.24%
794K → 792K
1.49%of outstanding
30.6
$1.83B
United States
Financial Services
1738
-0.24%
19.5M → 19.5M
17.30%
15.7
$2.33B
United States
Healthcare
1739
-0.23%
351K → 350K
1.26%
4.8
$2.18B
Canada
Consumer Cyclical
1740
-0.23%
4.4M → 4.4M
16.39%
12.8
$1.91B
United States
Healthcare
1741
-0.23%
3.4M → 3.4M
8.98%
11.4
$338.08M
Isle of Man
Basic Materials
1742
-0.22%
33K → 33K
0.58%
3.8
$23.33M
United States
Technology
1743
-0.22%
6.6M → 6.5M
15.42%
10.3
$117.09M
United States
Technology
1744
-0.21%
1.1M → 1.1M
5.69%
3.3
$46.51M
United States
Technology
1745
-0.20%
84.1M → 84.0M
24.75%of outstanding
7.6
$1.90B
United States
Financial Services
1746
-0.19%
21.3M → 21.2M
9.91%of outstanding
10.0
$108.27M
Israel
Consumer Cyclical
1747
-0.19%
13.7M → 13.6M
1.98%
3.6
$84.32B
United States
Financial Services
1748
-0.19%
1.2M → 1.2M
5.99%
4.8
$645.79M
United States
Industrials
1749
-0.18%
3.0M → 3.0M
12.94%
8.9
$638.44M
United States
Consumer Defensive
1750
-0.18%
125.6M → 125.4M
31.27%
15.9
$10.00B
United States
Healthcare
1751
-0.18%
3.0M → 3.0M
4.15%
2.3
$21.75B
United States
Technology
1752
-0.17%
13.9M → 13.9M
12.96%
9.9
$3.20B
United States
Real Estate
1753
-0.17%
98K → 97K
0.84%
9.0
$103.60M
United States
Real Estate
1754
-0.16%
10.2M → 10.2M
9.27%
4.1
$1.34B
United States
Technology
1755
-0.16%
813K → 812K
4.06%
12.2
$57.10M
United States
Healthcare
1756
-0.16%
20.9M → 20.9M
12.70%
5.2
$7.42B
United States
Healthcare
1757
-0.16%
12.7M → 12.7M
14.50%of outstanding
7.0
$5.70B
United States
Technology
1758
-0.15%
10.3M → 10.3M
15.73%
20.1
$6.56B
United States
Healthcare
1759
-0.14%
1.2M → 1.2M
4.02%
2.2
$15.04B
United States
Industrials
1760
-0.13%
69K → 69K
0.55%
7.6
$53.62M
United States
Industrials
1761
-0.12%
10.1M → 10.1M
4.99%
5.0
$331.02M
United States
Technology
1762
-0.11%
3.2M → 3.1M
10.99%
20.7
$1.08B
United States
Healthcare
1763
-0.10%
19.5M → 19.5M
1.10%
4.5
$462.26B
United States
Healthcare
1764
-0.10%
3.5M → 3.5M
2.92%
11.2
$68.93B
Italy
Consumer Cyclical
1765
-0.09%
7.3M → 7.3M
7.58%
5.7
$3.71B
United States
Energy
1766
-0.09%
2.0M → 2.0M
5.87%
5.5
$403.70M
United States
Consumer Defensive
1767
-0.08%
3.4M → 3.4M
0.50%
8.8
$4.98B
Spain
Healthcare
1768
-0.08%
3.3M → 3.3M
7.38%
5.5
$1.55B
United States
Healthcare
1769
-0.07%
981K → 980K
9.82%
2.5
$952.93M
United States
Technology
1770
-0.07%
8.8M → 8.8M
3.29%
4.6
$253.15B
United States
Industrials
1771
-0.07%
27.8M → 27.8M
13.80%
10.4
$541.93M
United States
Consumer Cyclical
1772
-0.06%
826K → 826K
1.75%
2.0
$87.63B
Uruguay
Consumer Cyclical
1773
-0.05%
4.7M → 4.7M
11.66%
5.7
$14.94B
United States
Consumer Cyclical
1774
-0.04%
3.5M → 3.5M
19.98%
6.7
$480.70M
United States
Technology
1775
-0.03%
237K → 237K
3.13%
9.3
$201.32M
United States
Basic Materials
1776
-0.03%
3.3M → 3.3M
21.43%
14.1
$234.89M
United States
Energy
1777
-0.03%
7.9M → 7.9M
2.91%
8.2
$630.35M
Canada
Basic Materials
1778
-0.03%
64.7M → 64.7M
32.54%
11.3
$1.91B
United States
Technology
1779
-0.03%
4.5M → 4.5M
12.12%
19.7
$784.92M
United States
Consumer Defensive
1780
-0.02%
5.5M → 5.5M
9.50%
6.0
$5.50B
United States
Industrials
1781
-0.02%
1.3M → 1.3M
2.55%
3.5
$3.26B
Bermuda
Financial Services
1782
-0.02%
8.8M → 8.8M
3.09%
7.2
$73.27B
United States
Industrials
1783
-0.02%
5.8M → 5.8M
5.82%
5.0
$161.14M
Canada
Basic Materials
1784
-0.01%
55K → 55K
0.48%
334.4
$158.75M
United States
Financial Services
1785
-0.01%
2.2M → 2.2M
5.33%
10.8
$1.07B
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

JKS leads this ranking, followed by AAUC and JOYY. 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.