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 10 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
901
+12.50%
2.9M → 3.3M
—
—
$9.66B
United States
Consumer Cyclical
902
+12.48%
77.7M → 87.4M
—
—
$4.25T
United States
Communication Services
903
+12.47%
1.8M → 2.1M
—
—
$341.74M
United States
Healthcare
904
+12.47%
4.7M → 5.3M
—
—
$7.51B
United States
Utilities
905
+12.47%
1.0M → 1.1M
—
—
$640.47M
United States
Financial Services
906
+12.46%
20.8M → 23.4M
—
—
$2.99B
United States
Healthcare
907
+12.43%
21.4M → 24.1M
—
—
$934.01M
United States
Industrials
908
+12.43%
2.7M → 3.0M
—
—
$73.89B
China
Communication Services
909
+12.41%
10.1M → 11.4M
—
—
$698.96M
United States
Technology
910
+12.39%
3.0M → 3.4M
—
—
$166.58M
United States
Industrials
911
+12.38%
8.9M → 10.0M
—
—
$487.50M
United States
Technology
912
+12.37%
3.3M → 3.7M
—
—
$6.54B
United States
Healthcare
913
+12.36%
32.2M → 36.2M
—
—
$3.88B
United States
Technology
914
+12.35%
2.1M → 2.3M
—
—
$8.01B
United States
Financial Services
915
+12.35%
119K → 134K
—
—
$74.25M
United States
Healthcare
916
+12.33%
4.7M → 5.2M
—
—
$49.81B
United States
Financial Services
917
+12.28%
624K → 701K
—
—
$948.79M
United States
Financial Services
918
+12.28%
277K → 311K
—
—
$78.93M
United States
Industrials
919
+12.26%
968K → 1.1M
—
—
$4.84B
United States
Industrials
920
+12.24%
4.7M → 5.3M
—
—
$50.33B
United States
Industrials
921
+12.23%
44K → 49K
—
—
$466.33M
United States
Industrials
922
+12.22%
1.6M → 1.8M
—
—
$1.30B
United States
Financial Services
923
+12.21%
4.1M → 4.6M
—
—
$17.43B
United States
Financial Services
924
+12.20%
2.9M → 3.3M
—
—
$1.10B
United States
Healthcare
925
+12.20%
285K → 319K
—
—
$532.06M
United States
Financial Services
926
+12.20%
339K → 381K
—
—
$321.86M
United States
Technology
927
+12.20%
369K → 414K
—
—
$574.18M
United States
Financial Services
928
+12.18%
2.4M → 2.7M
—
—
$9.94B
United States
Technology
929
+12.16%
43.0M → 48.2M
—
—
$30.47B
United States
Consumer Cyclical
930
+12.15%
522K → 586K
—
—
$1.97B
United States
Technology
931
+12.15%
7.5M → 8.5M
—
—
$2.92B
United States
Consumer Cyclical
932
+12.14%
3.0M → 3.3M
—
—
$99.99B
Ireland
Industrials
933
+12.13%
829K → 929K
—
—
$901.46M
Argentina
Industrials
934
+12.10%
5.1M → 5.7M
—
—
$4.72B
United States
Financial Services
935
+12.10%
1.1M → 1.2M
—
—
$905.44M
United States
Healthcare
936
+12.09%
91K → 102K
—
—
$554.41M
Germany
Healthcare
937
+12.09%
7.4M → 8.3M
—
—
$34.57B
United States
Communication Services
938
+12.09%
1.3M → 1.4M
—
—
$783.45M
United States
Healthcare
939
+12.07%
4.3M → 4.8M
—
—
$8.48B
United States
Consumer Cyclical
940
+12.06%
524K → 587K
—
—
$737.90M
United States
Industrials
941
+12.06%
14.9M → 16.7M
—
—
$11.93B
United States
Financial Services
942
+12.06%
3.6M → 4.1M
—
—
$5.14B
United States
Utilities
943
+12.05%
509K → 570K
—
—
$238.22M
United States
Technology
944
+12.05%
15.5M → 17.4M
—
—
$4.99B
United States
Technology
945
+12.04%
2.0M → 2.3M
—
—
$6.49B
United States
Industrials
946
+12.03%
708K → 793K
—
—
$486.03M
Cayman Islands
Financial Services
947
+12.02%
2.8M → 3.2M
—
—
$1.02B
United States
Technology
948
+12.02%
1.8M → 2.0M
—
—
$1.25B
United States
Technology
949
+12.00%
495K → 555K
—
—
$6.59B
United States
Industrials
950
+11.93%
7.4M → 8.3M
—
—
$11.25B
Canada
Basic Materials
951
+11.91%
1.6M → 1.8M
—
—
$444.33M
United States
Financial Services
952
+11.90%
22.0M → 24.6M
—
—
$6.14B
China
Communication Services
953
+11.90%
540K → 604K
—
—
$87.11M
United States
Healthcare
954
+11.90%
11.6M → 13.0M
—
—
$1.82B
China
Technology
955
+11.89%
412K → 461K
—
—
$71.16M
Switzerland
Technology
956
+11.88%
804K → 900K
—
—
$2.09B
United States
Basic Materials
957
+11.88%
2.1M → 2.4M
—
—
$2.68B
United States
Financial Services
958
+11.88%
9.3M → 10.4M
—
—
$2.98B
United States
Communication Services
959
+11.86%
13.1M → 14.7M
—
—
$6.02B
United States
Consumer Cyclical
960
+11.85%
2.2M → 2.5M
—
—
$2.60B
United States
Financial Services
961
+11.83%
3.5M → 4.0M
—
—
$4.09B
United States
Real Estate
962
+11.82%
136K → 152K
—
—
$757.36M
United States
Real Estate
963
+11.81%
1.6M → 1.7M
—
—
$360.09M
United States
Industrials
964
+11.81%
1.5M → 1.6M
—
—
$5.56B
United States
Industrials
965
+11.81%
11.6M → 12.9M
—
—
$1.87B
United States
Basic Materials
966
+11.80%
959K → 1.1M
—
—
$777.43M
United States
Financial Services
967
+11.79%
2.3M → 2.6M
—
—
$5.81B
United States
Healthcare
968
+11.79%
30.7M → 34.3M
—
—
$103.84B
United States
Basic Materials
969
+11.79%
2.2M → 2.4M
—
—
$4.53B
United States
Industrials
970
+11.78%
439K → 491K
—
—
$131.34M
United States
Consumer Defensive
971
+11.78%
40.4M → 45.2M
—
—
$7.20B
United States
Real Estate
972
+11.78%
14.6M → 16.3M
—
—
$2.10B
United States
Consumer Cyclical
973
+11.77%
1.3M → 1.5M
—
—
$43.31M
United States
Healthcare
974
+11.75%
555K → 620K
—
—
$5.35B
United States
Basic Materials
975
+11.75%
9.2M → 10.3M
—
—
$194.11M
United States
Consumer Cyclical
976
+11.74%
11.6M → 13.0M
—
—
$919.76M
United States
Consumer Defensive
977
+11.70%
7.8M → 8.7M
—
—
$2.24B
United States
Financial Services
978
+11.70%
188K → 210K
—
—
$148.55M
United States
Technology
979
+11.70%
2.8M → 3.1M
—
—
$301.94M
United States
Technology
980
+11.65%
109.4M → 122.1M
—
—
$34.46B
United States
Financial Services
981
+11.65%
228K → 255K
—
—
$392.35M
China
Communication Services
982
+11.65%
4.0M → 4.5M
—
—
$1.23B
United States
Healthcare
983
+11.63%
19.3M → 21.5M
—
—
$19.65B
Switzerland
Consumer Cyclical
984
+11.61%
9.4M → 10.5M
—
—
$19.10B
United States
Technology
985
+11.60%
82K → 92K
—
—
$119.29M
United States
Consumer Defensive
986
+11.60%
818K → 913K
—
—
$684.69M
United States
Consumer Defensive
987
+11.58%
1.5M → 1.7M
—
—
$11.85B
United States
Technology
988
+11.58%
5.9M → 6.6M
—
—
$574.39M
United States
Industrials
989
+11.58%
7.8M → 8.7M
—
—
$5.00B
United States
Consumer Defensive
990
+11.57%
5.6M → 6.3M
—
—
$918.99M
United States
Healthcare
991
+11.56%
13.5M → 15.1M
—
—
$41.21B
United States
Financial Services
992
+11.53%
2.6M → 2.9M
—
—
$845.14M
United States
Technology
993
+11.51%
14.1M → 15.7M
—
—
$1.31B
United States
Consumer Cyclical
994
+11.48%
16.6M → 18.5M
—
—
$3.38B
United States
Healthcare
995
+11.48%
2.5M → 2.8M
—
—
$81.17B
United States
Financial Services
996
+11.46%
795K → 886K
—
—
$3.33B
United States
Financial Services
997
+11.43%
29.1M → 32.4M
—
—
$5.17B
United States
Energy
998
+11.42%
31.7M → 35.3M
—
—
$15.05B
United States
Real Estate
999
+11.42%
1.6M → 1.8M
—
—
$178.68M
Israel
Healthcare
1000
+11.42%
10.5M → 11.8M
—
—
$5.55B
United States
Technology
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

DPZ leads this ranking, followed by GOOGL and ARTV. 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.