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 8 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
701
-8.95%
619K → 564K
2.66%
4.1
$1.37B
United States
Financial Services
702
-8.90%
94K → 86K
0.04%of outstanding
1 day or less
$1.94B
United States
Financial Services
703
-8.90%
2.0M → 1.8M
7.38%
1.5
$1.25B
United States
Technology
704
-8.89%
266K → 242K
3.75%
13.2
$139.56M
United States
Financial Services
705
-8.87%
2.2M → 2.0M
3.18%
1.1
$16.00B
United States
Consumer Cyclical
706
-8.87%
5.5M → 5.0M
13.77%
8.9
$4.50B
United States
Consumer Defensive
707
-8.87%
1.9M → 1.7M
4.66%
4.9
$2.97B
United States
Technology
708
-8.87%
6.5M → 5.9M
3.77%
2.5
$11.39B
United States
Healthcare
709
-8.84%
3.5M → 3.2M
9.58%
4.7
$535.11M
United States
Financial Services
710
-8.84%
538K → 491K
0.74%
25.2
$967.00M
India
Communication Services
711
-8.79%
11.8M → 10.7M
6.83%
5.8
$2.11B
United States
Real Estate
712
-8.78%
5.1M → 4.7M
28.12%
3.0
$143.57M
United States
Consumer Defensive
713
-8.78%
13.5M → 12.3M
6.82%
2.9
$3.00B
United States
Financial Services
714
-8.78%
42K → 39K
1.11%
6.8
$10.89M
Singapore
Consumer Cyclical
715
-8.78%
189K → 172K
8.36%
8.3
$10.64M
United States
Technology
716
-8.77%
33.8M → 30.8M
3.42%
5.7
$47.25B
United States
Financial Services
717
-8.77%
308K → 281K
27.77%
6.7
$283.57M
United States
Consumer Cyclical
718
-8.76%
165K → 150K
0.47%
2.0
$427.64M
United States
Technology
719
-8.70%
3.5M → 3.2M
5.20%of outstanding
3.7
$6.46B
Mexico
Consumer Defensive
720
-8.67%
22.3M → 20.3M
1.19%
2.8
$689.70B
United States
Financial Services
721
-8.64%
7.6M → 7.0M
2.82%
1.4
$34.18B
United States
Consumer Defensive
722
-8.58%
7.4M → 6.8M
2.12%
2.3
$124.28B
United States
Technology
723
-8.56%
31.3M → 28.7M
5.95%
3.1
$17.69B
United States
Technology
724
-8.55%
3.0M → 2.7M
23.39%
2.2
$317.47M
United States
Consumer Cyclical
725
-8.54%
8.2M → 7.5M
12.25%
4.9
$488.50M
United States
Healthcare
726
-8.50%
6.6M → 6.1M
10.13%
7.8
$996.53M
United States
Healthcare
727
-8.50%
9.3M → 8.5M
2.74%
2.5
$75.74B
United States
Consumer Cyclical
728
-8.49%
15.0M → 13.7M
10.47%
2.5
$9.04B
United States
Healthcare
729
-8.49%
494K → 452K
1.03%of outstanding
6.7
$1.06B
United States
Financial Services
730
-8.49%
6.9M → 6.3M
7.94%
4.1
$3.39B
United States
Consumer Cyclical
731
-8.48%
45K → 41K
0.46%
1 day or less
$45.94M
United States
Healthcare
732
-8.47%
1.1M → 976K
2.40%
2.6
$82.03M
United States
Healthcare
733
-8.46%
40K → 37K
4.49%
5.3
$140.02M
United States
Energy
734
-8.45%
714K → 654K
1.90%
2.9
$352.62M
United States
Financial Services
735
-8.45%
231K → 212K
2.87%
4.4
$171.50M
United States
Financial Services
736
-8.45%
103K → 95K
0.34%of outstanding
2.0
$242.95M
United States
Financial Services
737
-8.45%
5.7M → 5.2M
5.76%
6.5
$1.59B
United States
Financial Services
738
-8.43%
103K → 94K
0.14%of outstanding
1 day or less
$2.05B
United States
Financial Services
739
-8.43%
53K → 49K
1.56%
2.0
$1.67B
Hong Kong
Technology
740
-8.42%
1.0M → 923K
4.12%
6.3
$437.40M
United States
Financial Services
741
-8.42%
6.6M → 6.1M
5.20%
5.8
$5.51B
United States
Utilities
742
-8.38%
2.3M → 2.1M
14.41%
6.8
$481.94M
United States
Healthcare
743
-8.38%
613K → 562K
2.77%
7.4
$419.01M
United States
Utilities
744
-8.38%
11.4M → 10.4M
15.29%
4.8
$1.47B
United States
Technology
745
-8.37%
1.1M → 1.0M
4.26%
6.9
$3.10B
United States
Utilities
746
-8.34%
18.3M → 16.7M
11.58%
4.4
$331.42B
United Kingdom
Technology
747
-8.33%
14.8M → 13.5M
0.67%
4.8
$98.62B
United Kingdom
Healthcare
748
-8.32%
197K → 181K
3.28%
2.7
$121.63M
United States
Industrials
749
-8.32%
3.8M → 3.5M
7.97%of outstanding
7.8
$5.11B
United States
Industrials
750
-8.32%
10.8M → 9.9M
14.85%
9.4
$2.65B
Netherlands
Healthcare
751
-8.31%
9.1M → 8.4M
3.42%
5.5
$23.91B
United States
Communication Services
752
-8.30%
605K → 555K
1.75%
3.5
$5.35B
United States
Basic Materials
753
-8.30%
45.1M → 41.4M
3.67%
3.2
$13.94B
Canada
Basic Materials
754
-8.30%
4.0M → 3.6M
13.38%
7.4
$1.93B
United States
Technology
755
-8.30%
350K → 321K
0.82%
6.1
$53.45M
China
Consumer Cyclical
756
-8.30%
974K → 893K
0.08%
2.7
$225.40B
Japan
Consumer Cyclical
757
-8.29%
4.9M → 4.5M
2.14%
5.5
$29.43B
United States
Real Estate
758
-8.28%
34.5M → 31.7M
12.53%of outstanding
9.9
$2.01B
United States
Financial Services
759
-8.28%
5.9M → 5.4M
10.45%
5.2
$526.42M
United States
Healthcare
760
-8.26%
2.8M → 2.6M
3.51%
3.6
$21.17B
United States
Industrials
761
-8.26%
2.1M → 2.0M
3.79%
6.5
$13.76B
United States
Consumer Cyclical
762
-8.26%
2.2M → 2.0M
5.80%
9.1
$1.76B
United States
Financial Services
763
-8.21%
157K → 144K
0.42%
2.8
$77.71M
Canada
Basic Materials
764
-8.20%
14.8M → 13.6M
1.11%
2.4
$207.36B
United States
Technology
765
-8.20%
14.2M → 13.0M
5.28%
2.8
$2.81B
United States
Real Estate
766
-8.20%
167K → 153K
1.29%
3.1
$226.68M
United States
Financial Services
767
-8.19%
165K → 151K
6.03%
1.9
$2.07B
United States
Industrials
768
-8.19%
674K → 619K
3.86%
5.6
$502.76M
United States
Utilities
769
-8.17%
7.4M → 6.8M
7.57%
5.6
$3.46B
United States
Financial Services
770
-8.16%
2.5M → 2.3M
2.15%
1 day or less
$24.75B
Germany
Healthcare
771
-8.13%
7.1M → 6.6M
4.46%
6.0
$572.50M
Canada
Basic Materials
772
-8.12%
940K → 864K
6.20%
2.5
$211.24M
United States
Healthcare
773
-8.07%
11.8M → 10.8M
17.02%
11.0
$590.58M
United States
Healthcare
774
-8.07%
7.6M → 7.0M
2.38%
4.1
$118.89B
United States
Financial Services
775
-8.06%
415K → 382K
3.86%
3.0
$85.02M
United States
Healthcare
776
-8.06%
11.8M → 10.8M
15.29%
13.8
$3.91B
United States
Real Estate
777
-8.05%
5.5M → 5.1M
1.12%
1.9
$4.72B
United States
Financial Services
778
-8.04%
2.0M → 1.8M
0.75%
1.4
$344.57M
Canada
Consumer Defensive
779
-8.03%
60K → 55K
0.30%
1.2
$819.96M
United States
Energy
780
-8.03%
970K → 892K
0.88%of outstanding
7.0
$4.67B
United States
Financial Services
781
-8.03%
9.3M → 8.6M
3.41%
3.0
$60.04B
Netherlands
Technology
782
-8.02%
595K → 547K
1.29%
4.7
$67.40M
United States
Technology
783
-7.96%
1.8M → 1.7M
2.43%
6.2
$8.96B
United States
Communication Services
784
-7.95%
170K → 157K
0.06%
2.1
$18.94B
South Korea
Financial Services
785
-7.92%
194K → 179K
8.76%
3.7
$229.90M
United States
Healthcare
786
-7.92%
5.9M → 5.4M
4.28%
7.3
$2.98B
United States
Financial Services
787
-7.91%
15.7M → 14.5M
3.47%
5.1
$27.60B
United States
Financial Services
788
-7.89%
3.4M → 3.2M
6.87%
10.4
$1.08B
United States
Healthcare
789
-7.88%
8.7M → 8.0M
4.56%
5.5
$1.66B
United States
Healthcare
790
-7.87%
413K → 381K
5.00%
8.1
$73.34M
United States
Financial Services
791
-7.86%
93K → 86K
0.92%
1 day or less
$29.08M
Canada
Energy
792
-7.84%
43.9M → 40.4M
5.58%
4.2
$7.20B
United States
Real Estate
793
-7.83%
5.5M → 5.1M
6.31%
2.7
$15.68B
Hong Kong
Financial Services
794
-7.82%
1.2M → 1.1M
3.15%
2.8
$89.99M
United States
Healthcare
795
-7.82%
8.5M → 7.8M
6.27%
13.5
$87.13M
United States
Healthcare
796
-7.78%
908K → 837K
3.91%
8.8
$236.87M
United States
Industrials
797
-7.72%
10.3M → 9.5M
4.46%
6.1
$7.04B
United States
Basic Materials
798
-7.71%
583K → 538K
3.00%
5.3
$1.37B
United States
Financial Services
799
-7.71%
28.8M → 26.6M
0.86%
3.3
$69.52B
United States
Energy
800
-7.70%
73K → 67K
8.89%
1.2
$28.33M
United States
Communication Services
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

UFCS leads this ranking, followed by NMZ and QMCO. 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.