STOCK TITAN

Short Interest Increases — Rising Bearish Positions

US-listed companies whose reported short position grew the most between the two most recent FINRA settlement files. A larger position records positioning rather than an outcome; the share counts beside each percentage are what make it readable.
Settlement Sep 15, 2026
next publication (FINRA schedule) Oct 9, 2026
data 13 days old
Reporting period September 2026
Direction Rising short interest
Page 9 of 29

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. A position that grew from almost nothing has no meaningful percentage, so those rows report a floor of over 999.99% instead, and only when the current position is at least 275,000 shares.
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
801
+13.94%
8.0M → 9.1M
—
—
$617.83M
United States
Basic Materials
802
+13.94%
1.1M → 1.3M
—
—
$3.72B
United States
Real Estate
803
+13.91%
1.2M → 1.4M
—
—
$1.42B
United States
Financial Services
804
+13.91%
1.6M → 1.8M
—
—
$1.56B
United States
Financial Services
805
+13.86%
130K → 149K
—
—
$247.42M
United States
Financial Services
806
+13.85%
20.7M → 23.5M
—
—
$3.17B
Canada
Energy
807
+13.82%
60K → 69K
—
—
$334.22M
United States
Financial Services
808
+13.81%
10.1M → 11.5M
—
—
$44.77B
United Kingdom
Consumer Defensive
809
+13.81%
8.4M → 9.6M
—
—
$20.10B
United States
Energy
810
+13.80%
141K → 160K
—
—
$387.55M
United States
Financial Services
811
+13.79%
5.1M → 5.8M
—
—
$7.01B
United States
Basic Materials
812
+13.79%
3.4M → 3.9M
—
—
$629.42M
United States
Consumer Defensive
813
+13.77%
7.8M → 8.9M
—
—
$6.37B
United States
Industrials
814
+13.77%
18.7M → 21.3M
—
—
$295.50M
United States
Consumer Cyclical
815
+13.75%
394K → 448K
—
—
$301.30M
United States
Financial Services
816
+13.74%
48K → 54K
—
—
$173.43M
United States
Financial Services
817
+13.71%
7.1M → 8.0M
—
—
$7.59B
United States
Consumer Cyclical
818
+13.68%
30.3M → 34.4M
—
—
$367.07B
United States
Healthcare
819
+13.67%
37K → 42K
—
—
$398.33M
United States
Financial Services
820
+13.66%
2.2M → 2.5M
—
—
$4.99B
United States
Communication Services
821
+13.65%
6.2M → 7.0M
—
—
$622.23M
United States
Healthcare
822
+13.65%
45K → 51K
—
—
$14.79M
United States
Consumer Cyclical
823
+13.64%
33.7M → 38.3M
—
—
$215.72B
United States
Technology
824
+13.62%
9.7M → 11.0M
—
—
$13.44B
United States
Consumer Cyclical
825
+13.60%
9.2M → 10.4M
—
—
$11.11B
United States
Financial Services
826
+13.59%
6.6M → 7.5M
—
—
$572.50M
Canada
Basic Materials
827
+13.58%
2.4M → 2.7M
—
—
$393.96M
United States
Technology
828
+13.57%
2.8M → 3.2M
—
—
$4.46B
United States
Healthcare
829
+13.55%
2.6M → 2.9M
—
—
$943.29M
United States
Healthcare
830
+13.55%
87K → 98K
—
—
$255.92M
United States
Industrials
831
+13.49%
899K → 1.0M
—
—
$158.39M
United States
Financial Services
832
+13.49%
49.8M → 56.6M
—
—
$158.70B
United States
Utilities
833
+13.47%
6.3M → 7.2M
—
—
$34.25B
United States
Healthcare
834
+13.45%
2.5M → 2.8M
—
—
$7.46B
Mexico
Energy
835
+13.44%
5.4M → 6.1M
—
—
$2.98B
United States
Financial Services
836
+13.42%
137K → 156K
—
—
$175.35M
Singapore
Financial Services
837
+13.41%
1.3M → 1.5M
—
—
$2.13B
United States
Consumer Defensive
838
+13.39%
299K → 339K
—
—
$86.23M
United States
Technology
839
+13.39%
4.4M → 5.0M
—
—
$2.70B
United States
Consumer Cyclical
840
+13.37%
6.8M → 7.7M
—
—
$124.28B
United States
Technology
841
+13.37%
75.6M → 85.7M
—
—
$53.04B
United States
Consumer Cyclical
842
+13.37%
219K → 249K
—
—
$543.67M
Singapore
Financial Services
843
+13.35%
11.9M → 13.5M
—
—
$3.24B
United States
Financial Services
844
+13.32%
755K → 856K
—
—
$2.60B
United States
Industrials
845
+13.31%
2.5M → 2.8M
—
—
$2.17B
United States
Technology
846
+13.30%
1.2M → 1.3M
—
—
$196.76M
United States
Healthcare
847
+13.29%
16.3M → 18.5M
—
—
$3.85B
Canada
Utilities
848
+13.28%
635K → 719K
—
—
$4.29B
United States
Industrials
849
+13.26%
1.7M → 2.0M
—
—
$4.30B
United States
Industrials
850
+13.26%
41K → 46K
—
—
$45.94M
United States
Healthcare
851
+13.20%
8.7M → 9.8M
—
—
$230.58M
United States
Communication Services
852
+13.18%
9.5M → 10.8M
—
—
$4.02B
United States
Real Estate
853
+13.16%
6.4M → 7.2M
—
—
$2.79B
United States
Communication Services
854
+13.16%
2.9M → 3.3M
—
—
$207.79M
Canada
Healthcare
855
+13.14%
1.8M → 2.1M
—
—
$1.28B
United States
Consumer Cyclical
856
+13.14%
100K → 114K
—
—
$10.77M
United States
Consumer Cyclical
857
+13.13%
545K → 616K
—
—
$697.42M
United States
Financial Services
858
+13.12%
6.2M → 7.0M
—
—
$4.76B
United States
Basic Materials
859
+13.10%
4.3M → 4.9M
—
—
$15.24B
United States
Healthcare
860
+13.09%
5.5M → 6.2M
—
—
$5.92B
United States
Financial Services
861
+13.07%
2.2M → 2.5M
—
—
$434.49M
Canada
Basic Materials
862
+13.05%
11.7M → 13.2M
—
—
$26.02B
United States
Utilities
863
+13.04%
54K → 61K
—
—
$158.27M
United States
Consumer Cyclical
864
+13.04%
520K → 588K
—
—
$577.83M
United States
Financial Services
865
+13.02%
1.5M → 1.7M
—
—
$444.50M
United States
Industrials
866
+13.00%
1.9M → 2.1M
—
—
$1.62B
United States
Financial Services
867
+12.97%
923K → 1.0M
—
—
$437.40M
United States
Financial Services
868
+12.95%
9.4M → 10.6M
—
—
$1.16B
United States
Healthcare
869
+12.95%
183K → 207K
—
—
$233.25M
United States
Healthcare
870
+12.95%
79K → 89K
—
—
$398.14M
United States
Financial Services
871
+12.94%
4.0M → 4.5M
—
—
$44.26B
United States
Industrials
872
+12.94%
9.2M → 10.4M
—
—
$978.37M
United States
Communication Services
873
+12.93%
105K → 118K
—
—
$38.62M
United States
Consumer Defensive
874
+12.91%
2.7M → 3.1M
—
—
$323.57M
United States
Healthcare
875
+12.89%
8.2M → 9.3M
—
—
$98.51B
France
Healthcare
876
+12.86%
10.0M → 11.3M
—
—
$718.27M
United States
Financial Services
877
+12.85%
9.7M → 10.9M
—
—
$10.63B
Cyprus
Energy
878
+12.85%
11.0M → 12.4M
—
—
$2.81B
United States
Healthcare
879
+12.83%
11.1M → 12.5M
—
—
$137.66B
Japan
Technology
880
+12.81%
5.9M → 6.6M
—
—
$2.56B
United States
Healthcare
881
+12.80%
3.2M → 3.6M
—
—
$72.28B
United States
Industrials
882
+12.80%
1.1M → 1.3M
—
—
$824.02M
United States
Industrials
883
+12.80%
1.9M → 2.1M
—
—
$2.29B
United States
Energy
884
+12.79%
2.3M → 2.6M
—
—
$1.98B
United States
Basic Materials
885
+12.76%
10.4M → 11.7M
—
—
$4.26B
United States
Technology
886
+12.72%
2.8M → 3.2M
—
—
$517.21M
United States
Technology
887
+12.71%
22.7M → 25.6M
—
—
$883.00M
United States
Healthcare
888
+12.70%
12.7M → 14.3M
—
—
$492.42M
United States
Technology
889
+12.68%
3.7M → 4.2M
—
—
$692.35M
United States
Financial Services
890
+12.62%
3.1M → 3.5M
—
—
$1.34B
Israel
Healthcare
891
+12.62%
3.3M → 3.7M
—
—
$66.88M
United States
Healthcare
892
+12.60%
9.3M → 10.5M
—
—
$515.38M
United States
Basic Materials
893
+12.58%
2.5M → 2.8M
—
—
$6.26B
Canada
Basic Materials
894
+12.57%
1.5M → 1.7M
—
—
$257.68M
United States
Basic Materials
895
+12.55%
4.3M → 4.9M
—
—
$1.33B
United States
Technology
896
+12.54%
2.3M → 2.6M
—
—
$2.21B
United States
Financial Services
897
+12.53%
1.7M → 1.9M
—
—
$92.91M
United States
Industrials
898
+12.53%
5.9M → 6.6M
—
—
$11.39B
United States
Healthcare
899
+12.51%
598K → 672K
—
—
$203.19M
United States
Industrials
900
+12.51%
301K → 339K
—
—
$57.21M
United States
Communication Services
Looking for a specific Symbol?
A position that grew from almost nothing has no meaningful percentage, so rows marked this way report >999.99% as a floor rather than a measurement, and only when the current position is at least 275,000 shares. Read the share counts beside them instead. Rows whose position stayed under that size show no percentage at all.
* 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 increase this period?
A

ALOY leads this ranking, followed by JOE and AMAL. 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 Why do some rows show no percentage change?
A

A position that grew from almost nothing has no meaningful percentage: dividing by a near-zero previous position produces a number that says more about the denominator than about the position. Rows in that state report a floor of over 999.99% instead, and only when the current position is at least 275,000 shares. Below that size the page shows no percentage at all and leaves the raw share counts, which are the reliable figures.

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.