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 19 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
1801
-0.22%
211K → 211K
4.48%
3.2
$10.94M
United States
Healthcare
1802
-0.22%
55.7M → 55.5M
28.40%
16.9
$1.01B
United States
Industrials
1803
-0.22%
33.4M → 33.3M
24.34%
4.8
$673.51M
United States
Basic Materials
1804
-0.21%
1.3M → 1.3M
1.85%
4.0
$30.67B
Peru
Financial Services
1805
-0.21%
940K → 938K
2.90%
4.0
$130.37M
United States
Industrials
1806
-0.20%
3.4M → 3.4M
5.45%
6.5
$9.02B
United States
Financial Services
1807
-0.19%
18.0M → 18.0M
19.13%
15.9
$2.39B
United States
Healthcare
1808
-0.19%
2.3M → 2.3M
5.13%
13.3
$1.14B
Sweden
Consumer Cyclical
1809
-0.18%
2.2M → 2.2M
6.11%
4.3
$6.45B
United States
Industrials
1810
-0.17%
18.5M → 18.5M
0.73%
6.3
$215.95B
Australia
Basic Materials
1811
-0.17%
110.3M → 110.1M
28.74%
1.9
$4.85B
United States
Financial Services
1812
-0.17%
8.4M → 8.4M
10.82%
1.8
$1.76B
United States
Healthcare
1813
-0.16%
187K → 186K
1.45%
10.6
$79.46M
United States
Financial Services
1814
-0.16%
22.1M → 22.0M
2.34%
4.5
$212.46B
United States
Technology
1815
-0.16%
7.5M → 7.5M
18.80%
13.8
$3.26B
United States
Consumer Defensive
1816
-0.16%
44K → 44K
2.06%
1000.0
$118.08M
United States
Financial Services
1817
-0.14%
14.8M → 14.8M
10.46%
11.8
$4.85B
United States
Energy
1818
-0.14%
3.2M → 3.2M
5.64%
3.6
$8.63B
United States
Industrials
1819
-0.14%
260K → 259K
2.51%
7.8
$389.18M
United States
Financial Services
1820
-0.14%
42.2M → 42.2M
13.48%
7.9
$2.77B
United States
Healthcare
1821
-0.14%
10.2M → 10.2M
5.23%
7.0
$14.70B
United States
Energy
1822
-0.13%
1.8M → 1.8M
8.57%
7.7
$18.64B
United States
Technology
1823
-0.13%
7.8M → 7.7M
38.04%
30.9
$172.02M
United States
Consumer Cyclical
1824
-0.13%
219K → 219K
0.48%
1.5
$43.87M
United States
Real Estate
1825
-0.12%
5.1M → 5.1M
4.98%
9.4
$2.95B
Bermuda
Financial Services
1826
-0.11%
10.4M → 10.4M
12.77%
16.8
$9.21B
United States
Healthcare
1827
-0.11%
53K → 52K
0.57%
1000.0
$216.12M
China
Industrials
1828
-0.11%
45.2M → 45.2M
6.08%
4.9
$9.69B
China
Consumer Cyclical
1829
-0.10%
6.2M → 6.2M
9.88%
7.5
$931.03M
United States
Industrials
1830
-0.10%
59.0M → 58.9M
17.95%
3.7
$5.56B
United States
Technology
1831
-0.10%
2.0M → 2.0M
3.03%
3.3
$10.49B
United States
Consumer Cyclical
1832
-0.09%
2.4M → 2.4M
2.77%
4.3
$153.72M
United States
Real Estate
1833
-0.08%
7.7M → 7.7M
11.06%
41.2
$414.66M
United States
Healthcare
1834
-0.08%
13.2M → 13.1M
9.06%
3.8
$3.51B
Bermuda
Energy
1835
-0.08%
8.8M → 8.8M
4.62%
6.5
$17.36B
United States
Healthcare
1836
-0.07%
41.4M → 41.4M
30.93%
13.9
$434.03M
United States
Consumer Cyclical
1837
-0.07%
682K → 681K
7.68%
4.0
$89.82M
United States
Industrials
1838
-0.07%
266K → 265K
1.59%
4.1
$151.19M
United States
Financial Services
1839
-0.06%
7.1M → 7.1M
7.21%of outstanding
3.5
$7.59B
United States
Consumer Cyclical
1840
-0.03%
8.4M → 8.4M
3.64%
3.3
$20.10B
United States
Energy
1841
-0.03%
35.5M → 35.5M
23.28%
4.4
$2.50B
United States
Industrials
1842
-0.03%
1.2M → 1.2M
4.15%
4.8
$1.26B
United States
Energy
1843
-0.02%
566K → 566K
4.30%
1000.0
$236.60M
Singapore
Industrials
1844
-0.02%
2.0M → 2.0M
6.84%
8.8
$221.75M
United States
Energy
1845
-0.02%
2.2M → 2.2M
8.73%
2.4
$154.44M
United States
Communication Services
1846
-0.01%
2.9M → 2.9M
8.81%
3.1
$9.66B
United States
Consumer Cyclical
1847
-0.01%
23.3M → 23.3M
11.15%
3.3
$264.60M
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

MTVA leads this ranking, followed by PCT and UAMY. 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.