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 11 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
1001
+11.39%
213K → 237K
—
—
$5.06B
United Arab Emirates
Communication Services
1002
+11.38%
6.4M → 7.1M
—
—
$106.68M
United States
Healthcare
1003
+11.36%
8.7M → 9.7M
—
—
$342.06M
China
Industrials
1004
+11.33%
14.2M → 15.8M
—
—
$25.97B
Canada
Energy
1005
+11.33%
22.1M → 24.6M
—
—
$1.87B
United States
Healthcare
1006
+11.32%
982K → 1.1M
—
—
$202.52M
United States
Communication Services
1007
+11.32%
884K → 985K
—
—
$147.44M
United States
Healthcare
1008
+11.31%
3.9M → 4.4M
—
—
$491.64M
United States
Industrials
1009
+11.30%
840K → 935K
—
—
$775.26M
United States
Industrials
1010
+11.30%
1.6M → 1.8M
—
—
$44.60M
United States
Healthcare
1011
+11.30%
681K → 758K
—
—
$89.82M
United States
Industrials
1012
+11.29%
3.0M → 3.4M
—
—
$5.10B
United States
Consumer Cyclical
1013
+11.27%
1.5M → 1.7M
—
—
$1.86B
United States
Healthcare
1014
+11.26%
1.3M → 1.5M
—
—
$1.42B
United Kingdom
Energy
1015
+11.26%
1.6M → 1.7M
—
—
$292.66M
United States
Healthcare
1016
+11.25%
4.8M → 5.4M
—
—
$4.40B
United States
Industrials
1017
+11.25%
1.9M → 2.2M
—
—
$2.64B
United States
Financial Services
1018
+11.25%
76.4M → 85.0M
—
—
$11.17B
United States
Communication Services
1019
+11.24%
3.6M → 4.0M
—
—
$1.77B
Bermuda
Industrials
1020
+11.22%
6.3M → 7.0M
—
—
$153.59B
Belgium
Consumer Defensive
1021
+11.22%
8.2M → 9.1M
—
—
$20.43B
China
Consumer Cyclical
1022
+11.22%
914K → 1.0M
—
—
$1.37B
United States
Consumer Cyclical
1023
+11.20%
4.8M → 5.4M
—
—
$13.39B
United States
Industrials
1024
+11.20%
2.4M → 2.7M
—
—
$14.59B
United States
Utilities
1025
+11.19%
162K → 181K
—
—
$268.42M
United States
Financial Services
1026
+11.19%
30K → 33K
—
—
$282.60M
United States
Financial Services
1027
+11.19%
159K → 177K
—
—
$34.40M
United States
Healthcare
1028
+11.19%
2.3M → 2.5M
—
—
$196.63M
United States
Financial Services
1029
+11.18%
40.8M → 45.3M
—
—
$2.65B
United States
Healthcare
1030
+11.18%
6.5M → 7.2M
—
—
$11.00B
United States
Technology
1031
+11.16%
2.5M → 2.7M
—
—
$17.58B
United States
Technology
1032
+11.16%
1.4M → 1.6M
—
—
$1.69B
United States
Consumer Defensive
1033
+11.10%
4.7M → 5.3M
—
—
$78.35B
United States
Basic Materials
1034
+11.09%
3.0M → 3.3M
—
—
$539.84M
United States
Industrials
1035
+11.08%
11.8M → 13.1M
—
—
$866.17M
United States
Communication Services
1036
+11.05%
32K → 35K
—
—
$45.12M
United States
Financial Services
1037
+11.01%
182K → 202K
—
—
$96.55M
United States
Basic Materials
1038
+10.96%
5.5M → 6.1M
—
—
$3.41B
United States
Financial Services
1039
+10.95%
17.1M → 19.0M
—
—
$88.38B
United States
Utilities
1040
+10.94%
409K → 453K
—
—
$69.33M
United States
Consumer Cyclical
1041
+10.93%
3.4M → 3.8M
—
—
$477.01M
United States
Real Estate
1042
+10.92%
186K → 206K
—
—
$613.84M
Brazil
Financial Services
1043
+10.91%
1.1M → 1.2M
—
—
$70.24M
United States
Healthcare
1044
+10.91%
97K → 108K
—
—
$3.33B
United States
Financial Services
1045
+10.91%
133K → 147K
—
—
$283.75M
United States
Basic Materials
1046
+10.91%
8.5M → 9.5M
—
—
$75.74B
United States
Consumer Cyclical
1047
+10.89%
7.6M → 8.4M
—
—
$377.66B
United States
Industrials
1048
+10.88%
631K → 700K
—
—
$919.92M
United States
Financial Services
1049
+10.86%
108.7M → 120.5M
—
—
$144.93M
United States
Technology
1050
+10.84%
7.8M → 8.6M
—
—
$87.13M
United States
Healthcare
1051
+10.83%
16.6M → 18.4M
—
—
$2.25B
United States
Industrials
1052
+10.83%
5.9M → 6.5M
—
—
$23.90B
United States
Basic Materials
1053
+10.82%
1.5M → 1.7M
—
—
$1.72B
United States
Healthcare
1054
+10.80%
13.0M → 14.4M
—
—
$14.78B
United States
Real Estate
1055
+10.80%
2.7M → 3.0M
—
—
$5.45B
United States
Technology
1056
+10.80%
2.4M → 2.7M
—
—
$5.61B
Canada
Basic Materials
1057
+10.79%
471K → 522K
—
—
$95.35M
United States
Healthcare
1058
+10.78%
1.4M → 1.5M
—
—
$952.75M
United States
Technology
1059
+10.76%
6.6M → 7.3M
—
—
$4.13B
United States
Financial Services
1060
+10.74%
11.5M → 12.7M
—
—
$3.08B
United States
Financial Services
1061
+10.74%
29.2M → 32.3M
—
—
$192.60B
United States
Technology
1062
+10.74%
8.9M → 9.9M
—
—
$37.83B
United States
Consumer Cyclical
1063
+10.71%
26.6M → 29.4M
—
—
$1.07B
United States
Healthcare
1064
+10.71%
1.5M → 1.7M
—
—
$53.20B
Luxembourg
Basic Materials
1065
+10.70%
1.6M → 1.8M
—
—
$1.93B
United States
Industrials
1066
+10.69%
5.7M → 6.4M
—
—
$1.73B
United States
Financial Services
1067
+10.69%
26K → 28K
—
—
$58.21M
China
Consumer Cyclical
1068
+10.67%
33K → 36K
—
—
$14.13M
United States
Communication Services
1069
+10.66%
1.9M → 2.1M
—
—
$16.96B
United States
Industrials
1070
+10.66%
458K → 506K
—
—
$360.81M
Canada
Communication Services
1071
+10.64%
11.9M → 13.2M
—
—
$95.44M
United States
Healthcare
1072
+10.64%
1.6M → 1.7M
—
—
$810.93M
United States
Technology
1073
+10.61%
68.5M → 75.8M
—
—
$5.63B
United States
Technology
1074
+10.60%
267K → 296K
—
—
$657.37M
United States
Financial Services
1075
+10.59%
213K → 236K
—
—
$34.44B
Israel
Industrials
1076
+10.58%
1.1M → 1.2M
—
—
$224.58M
United States
Basic Materials
1077
+10.57%
35.9M → 39.7M
—
—
$3.88B
United States
Industrials
1078
+10.57%
300K → 332K
—
—
$1.43B
United States
Financial Services
1079
+10.56%
280K → 310K
—
—
$322.13M
United States
Healthcare
1080
+10.56%
261K → 289K
—
—
$1.11B
United States
Utilities
1081
+10.55%
12.3M → 13.6M
—
—
$255.27B
United States
Industrials
1082
+10.53%
17.0M → 18.8M
—
—
$18.26B
United States
Technology
1083
+10.53%
18.2M → 20.2M
—
—
$7.79B
United States
Technology
1084
+10.53%
7.7M → 8.5M
—
—
$305.34M
United States
Healthcare
1085
+10.52%
272K → 301K
—
—
$112.94M
United States
Basic Materials
1086
+10.51%
6.5M → 7.1M
—
—
$1.01B
Canada
Basic Materials
1087
+10.49%
14.1M → 15.6M
—
—
$15.72B
United States
Real Estate
1088
+10.48%
18.3M → 20.2M
—
—
$17.99B
United States
Utilities
1089
+10.48%
4.9M → 5.5M
—
—
$13.34B
United States
Industrials
1090
+10.46%
6.8M → 7.5M
—
—
$1.24B
United States
Healthcare
1091
+10.46%
13.4M → 14.8M
—
—
$957.22M
United States
Healthcare
1092
+10.41%
2.4M → 2.6M
—
—
$13.30B
Ireland
Healthcare
1093
+10.41%
5.5M → 6.1M
—
—
$3.85B
United States
Healthcare
1094
+10.40%
345K → 381K
—
—
$272.61M
United States
Healthcare
1095
+10.39%
5.1M → 5.6M
—
—
$130.26M
United States
Healthcare
1096
+10.37%
71.7M → 79.2M
—
—
$24.95B
United States
Consumer Cyclical
1097
+10.37%
3.5M → 3.9M
—
—
$5.11B
United States
Industrials
1098
+10.35%
28.7M → 31.6M
—
—
$17.69B
United States
Technology
1099
+10.33%
7.0M → 7.7M
—
—
$35.87B
Bermuda
Consumer Cyclical
1100
+10.31%
11.2M → 12.4M
—
—
$11.47B
United States
Real Estate
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

VEON leads this ranking, followed by RANI and EH. 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.