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 13 days old
Reporting period September 2026
Direction Falling short interest
Page 17 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
1601
-0.94%
2.3M → 2.3M
—
—
$31.96M
United States
Healthcare
1602
-0.94%
5.9M → 5.9M
—
—
$3.32B
United States
Consumer Defensive
1603
-0.94%
60.6M → 60.0M
—
—
$4.66B
United States
Energy
1604
-0.94%
122.3M → 121.1M
—
—
$7.85B
United States
Financial Services
1605
-0.93%
14.6M → 14.5M
—
—
$137.25M
United States
Industrials
1606
-0.92%
25.8M → 25.5M
—
—
$1.88B
United States
Consumer Cyclical
1607
-0.91%
9.8M → 9.7M
—
—
$5.23B
United States
Healthcare
1608
-0.90%
1.3M → 1.3M
—
—
$8.86B
United States
Communication Services
1609
-0.90%
14.2M → 14.1M
—
—
$181.43M
United States
Healthcare
1610
-0.90%
861K → 854K
—
—
$879.77M
United States
Energy
1611
-0.89%
30.2M → 30.0M
—
—
$396.24M
United States
Healthcare
1612
-0.88%
3.8M → 3.8M
—
—
$33.49B
United States
Basic Materials
1613
-0.87%
607K → 602K
—
—
$4.45B
United States
Financial Services
1614
-0.85%
14.2M → 14.1M
—
—
$4.40B
United States
Industrials
1615
-0.85%
24.0M → 23.8M
—
—
$35.80B
China
Consumer Cyclical
1616
-0.84%
7.0M → 6.9M
—
—
$272.38B
United States
Financial Services
1617
-0.84%
55.8M → 55.3M
—
—
$23.53B
United States
Financial Services
1618
-0.84%
20.0M → 19.8M
—
—
$643.59M
United States
Basic Materials
1619
-0.83%
38.1M → 37.8M
—
—
$10.93B
United States
Consumer Cyclical
1620
-0.83%
3.0M → 3.0M
—
—
$536.60M
United States
Consumer Cyclical
1621
-0.83%
236K → 234K
—
—
$346.09M
United States
Financial Services
1622
-0.83%
1.0M → 1.0M
—
—
$197.66M
United States
Consumer Cyclical
1623
-0.81%
2.4M → 2.4M
—
—
$153.72M
United States
Real Estate
1624
-0.80%
135K → 134K
—
—
$761.31M
United States
Basic Materials
1625
-0.79%
45.5M → 45.2M
—
—
$27.72B
United States
Communication Services
1626
-0.79%
49K → 48K
—
—
$36.24M
United States
Healthcare
1627
-0.79%
2.2M → 2.2M
—
—
$2.86B
United States
Consumer Defensive
1628
-0.77%
8.4M → 8.3M
—
—
$43.76B
United States
Technology
1629
-0.76%
41.1M → 40.8M
—
—
$86.66B
United States
Industrials
1630
-0.76%
6.9M → 6.8M
—
—
$1.25B
United States
Healthcare
1631
-0.75%
9.7M → 9.7M
—
—
$3.56B
United States
Healthcare
1632
-0.74%
2.8M → 2.8M
—
—
$12.67B
United States
Consumer Defensive
1633
-0.74%
998K → 990K
—
—
$849.53M
United States
Financial Services
1634
-0.74%
2.5M → 2.5M
—
—
$81.38M
United States
Consumer Cyclical
1635
-0.74%
3.6M → 3.5M
—
—
$6.37B
United States
Energy
1636
-0.73%
8.2M → 8.1M
—
—
$612.22M
United States
Energy
1637
-0.73%
3.5M → 3.5M
—
—
$229.23M
Greece
Energy
1638
-0.72%
8.0M → 7.9M
—
—
$9.38B
United States
Industrials
1639
-0.72%
12.3M → 12.2M
—
—
$167.36B
United States
Consumer Cyclical
1640
-0.72%
30.3M → 30.1M
—
—
$879.81M
United States
Technology
1641
-0.72%
3.6M → 3.5M
—
—
$4.48B
United States
Energy
1642
-0.71%
2.3M → 2.3M
—
—
$485.79M
United States
Industrials
1643
-0.70%
319K → 317K
—
—
$293.33M
United States
Financial Services
1644
-0.70%
1.9M → 1.9M
—
—
$17.51B
United States
Technology
1645
-0.68%
8.7M → 8.6M
—
—
$3.17B
United States
Technology
1646
-0.68%
9.4M → 9.4M
—
—
$5.15B
United States
Financial Services
1647
-0.68%
1.2M → 1.2M
—
—
$51.97M
United States
Consumer Cyclical
1648
-0.68%
13.2M → 13.1M
—
—
$3.69B
United States
Consumer Cyclical
1649
-0.67%
32.8M → 32.6M
—
—
$42.73B
United States
Technology
1650
-0.67%
46K → 45K
—
—
$256.75M
United States
Financial Services
1651
-0.66%
6.7M → 6.7M
—
—
$50.99B
United States
Healthcare
1652
-0.65%
6.1M → 6.1M
—
—
$359.58M
United States
Technology
1653
-0.64%
162K → 161K
—
—
$206.06M
United States
Financial Services
1654
-0.63%
781K → 776K
—
—
$1.77B
China
Consumer Defensive
1655
-0.63%
7.8M → 7.7M
—
—
$17.40B
United States
Industrials
1656
-0.63%
2.3M → 2.3M
—
—
$241.74M
United States
Technology
1657
-0.63%
1.2M → 1.2M
—
—
$1.18B
United States
Consumer Cyclical
1658
-0.62%
2.6M → 2.6M
—
—
$346.01M
United States
Healthcare
1659
-0.62%
10.7M → 10.7M
—
—
$567.53M
United States
Consumer Defensive
1660
-0.62%
4.2M → 4.1M
—
—
$2.58B
United States
Healthcare
1661
-0.60%
16.0M → 16.0M
—
—
$12.89B
United States
Consumer Defensive
1662
-0.60%
9.7M → 9.7M
—
—
$43.93B
United States
Healthcare
1663
-0.60%
41.3M → 41.1M
—
—
$12.45B
United States
Healthcare
1664
-0.59%
7.7M → 7.7M
—
—
$172.02M
United States
Consumer Cyclical
1665
-0.59%
1.5M → 1.5M
—
—
$480.96M
United States
Basic Materials
1666
-0.59%
29.5M → 29.4M
—
—
$302.40M
United States
Healthcare
1667
-0.59%
23.2M → 23.1M
—
—
$405.75M
United States
Healthcare
1668
-0.58%
2.4M → 2.4M
—
—
$2.86B
United States
Utilities
1669
-0.56%
35.5M → 35.3M
—
—
$619.92M
United States
Technology
1670
-0.56%
91.3M → 90.8M
—
—
$2.40B
Canada
Energy
1671
-0.56%
5.8M → 5.7M
—
—
$655.60M
United States
Healthcare
1672
-0.55%
29.0M → 28.8M
—
—
$1.39B
United States
Healthcare
1673
-0.55%
12.7M → 12.6M
—
—
$27.84B
United Kingdom
Energy
1674
-0.54%
3.5M → 3.5M
—
—
$116.17M
United States
Healthcare
1675
-0.54%
4.2M → 4.2M
—
—
$2.78B
United States
Consumer Defensive
1676
-0.54%
1.4M → 1.4M
—
—
$261.25M
United States
Financial Services
1677
-0.54%
5.4M → 5.4M
—
—
$3.01B
United States
Energy
1678
-0.54%
3.9M → 3.9M
—
—
$325.24M
United States
Financial Services
1679
-0.54%
6.0M → 6.0M
—
—
$4.13B
United States
Communication Services
1680
-0.53%
5.2M → 5.2M
—
—
$2.61B
United States
Utilities
1681
-0.52%
5.5M → 5.5M
—
—
$6.21B
United States
Technology
1682
-0.52%
3.7M → 3.7M
—
—
$1.87B
United States
Energy
1683
-0.51%
9.4M → 9.4M
—
—
$12.55B
United States
Healthcare
1684
-0.50%
13.8M → 13.7M
—
—
$12.62B
United States
Technology
1685
-0.50%
12.1M → 12.0M
—
—
$799.38M
United States
Healthcare
1686
-0.50%
44K → 44K
—
—
$118.08M
United States
Financial Services
1687
-0.50%
6.1M → 6.1M
—
—
$4.22B
United States
Energy
1688
-0.50%
4.0M → 4.0M
—
—
$5.17B
United States
Healthcare
1689
-0.50%
9.0M → 9.0M
—
—
$8.35B
United States
Consumer Cyclical
1690
-0.48%
11.1M → 11.0M
—
—
$5.75B
United States
Financial Services
1691
-0.48%
41.0M → 40.8M
—
—
$52.55B
United States
Real Estate
1692
-0.48%
5.9M → 5.9M
—
—
$5.89B
China
Consumer Cyclical
1693
-0.47%
1.2M → 1.2M
—
—
$249.53M
United States
Technology
1694
-0.47%
969K → 964K
—
—
$613.90M
United States
Industrials
1695
-0.47%
11.2M → 11.2M
—
—
$1.60B
United States
Healthcare
1696
-0.46%
98.3M → 97.8M
—
—
$3.02B
United States
Consumer Cyclical
1697
-0.46%
1.8M → 1.8M
—
—
$224.19M
United States
Healthcare
1698
-0.45%
6.5M → 6.5M
—
—
$169.75M
United States
Technology
1699
-0.45%
21.3M → 21.3M
—
—
$10.14B
United States
Technology
1700
-0.45%
41.6M → 41.4M
—
—
$881.62M
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

BYSI leads this ranking, followed by POST and UEC. 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.