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 20 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
1901
+4.77%
1.1M → 1.2M
—
—
$393.19M
United States
Financial Services
1902
+4.76%
2.0M → 2.1M
—
—
$422.44M
Canada
Basic Materials
1903
+4.74%
8.4M → 8.8M
—
—
$4.95B
United States
Healthcare
1904
+4.74%
15.0M → 15.7M
—
—
$7.14B
United States
Energy
1905
+4.73%
538K → 563K
—
—
$1.40B
United States
Financial Services
1906
+4.73%
281K → 294K
—
—
$268.71M
United States
Consumer Cyclical
1907
+4.73%
39.3M → 41.1M
—
—
$15.58B
United States
Real Estate
1908
+4.73%
3.2M → 3.3M
—
—
$651.09M
United States
Communication Services
1909
+4.73%
3.9M → 4.1M
—
—
$6.59B
United States
Communication Services
1910
+4.71%
3.2M → 3.3M
—
—
$1.96B
Australia
Healthcare
1911
+4.70%
1.2M → 1.3M
—
—
$316.50M
United States
Real Estate
1912
+4.69%
1.7M → 1.8M
—
—
$11.20B
United States
Industrials
1913
+4.69%
26.5M → 27.7M
—
—
$4.23B
United States
Real Estate
1914
+4.69%
562K → 588K
—
—
$419.01M
United States
Utilities
1915
+4.69%
17.7M → 18.5M
—
—
$2.65B
United States
Consumer Cyclical
1916
+4.68%
521K → 545K
—
—
$371.89M
United States
Healthcare
1917
+4.67%
24.2M → 25.4M
—
—
$980.90M
United States
Consumer Cyclical
1918
+4.67%
3.4M → 3.5M
—
—
$1.40B
United States
Consumer Cyclical
1919
+4.66%
3.2M → 3.4M
—
—
$10.40B
United States
Industrials
1920
+4.66%
30.7M → 32.1M
—
—
$385.85M
United States
Industrials
1921
+4.65%
226.6M → 237.1M
—
—
$4.45B
United States
Technology
1922
+4.64%
6.5M → 6.8M
—
—
$50.31M
Israel
Healthcare
1923
+4.64%
990K → 1.0M
—
—
$1.24B
Israel
Technology
1924
+4.63%
39.5M → 41.3M
—
—
$46.69B
United States
Healthcare
1925
+4.63%
41.4M → 43.3M
—
—
$1.03B
United States
Healthcare
1926
+4.63%
9.4M → 9.9M
—
—
$1.50B
United States
Healthcare
1927
+4.62%
790K → 826K
—
—
$1.01B
United States
Financial Services
1928
+4.62%
3.1M → 3.3M
—
—
$566.52M
United States
Healthcare
1929
+4.62%
26.2M → 27.4M
—
—
$22.51B
United States
Financial Services
1930
+4.61%
18.5M → 19.4M
—
—
$501.42M
United States
Consumer Defensive
1931
+4.61%
11.3M → 11.8M
—
—
$1.72B
United States
Real Estate
1932
+4.60%
1.5M → 1.6M
—
—
$140.92M
United States
Healthcare
1933
+4.60%
15.0M → 15.7M
—
—
$1.59B
China
Communication Services
1934
+4.59%
3.8M → 4.0M
—
—
$144.55M
United States
Healthcare
1935
+4.59%
6.3M → 6.6M
—
—
$71.88B
United States
Healthcare
1936
+4.59%
2.9M → 3.1M
—
—
$141.41M
United States
Energy
1937
+4.59%
16.8M → 17.6M
—
—
$26.32B
United States
Industrials
1938
+4.59%
119K → 124K
—
—
$88.71M
Canada
Financial Services
1939
+4.57%
196K → 205K
—
—
$42.87M
Canada
Consumer Cyclical
1940
+4.57%
4.6M → 4.8M
—
—
$2.21B
United States
Healthcare
1941
+4.55%
32.1M → 33.6M
—
—
$8.70B
United States
Basic Materials
1942
+4.55%
1.6M → 1.6M
—
—
$390.07M
Italy
Utilities
1943
+4.55%
345K → 361K
—
—
$17.96M
United States
Healthcare
1944
+4.55%
10.9M → 11.4M
—
—
$10.06B
United States
Technology
1945
+4.54%
7.3M → 7.6M
—
—
$194.54M
United States
Basic Materials
1946
+4.53%
3.6M → 3.7M
—
—
$159.59M
United States
Healthcare
1947
+4.53%
4.2M → 4.4M
—
—
$2.22B
United States
Industrials
1948
+4.53%
4.7M → 4.9M
—
—
$1.90B
United States
Healthcare
1949
+4.52%
928K → 970K
—
—
$16.24B
United States
Financial Services
1950
+4.51%
674K → 705K
—
—
$555.30M
United States
Industrials
1951
+4.50%
162K → 169K
—
—
$32.63M
United States
Financial Services
1952
+4.50%
2.4M → 2.5M
—
—
$1.76B
Monaco
Industrials
1953
+4.50%
3.4M → 3.6M
—
—
$26.08B
United States
Healthcare
1954
+4.50%
32.2M → 33.6M
—
—
$7.08B
United States
Utilities
1955
+4.49%
519K → 542K
—
—
$73.71M
United States
Consumer Cyclical
1956
+4.49%
428K → 447K
—
—
$312.86M
United States
Financial Services
1957
+4.49%
5.7M → 6.0M
—
—
$1.15B
United States
Real Estate
1958
+4.49%
4.1M → 4.3M
—
—
$56.10B
United States
Basic Materials
1959
+4.48%
1.7M → 1.8M
—
—
$5.97B
United States
Industrials
1960
+4.48%
2.3M → 2.4M
—
—
$3.75B
United States
Energy
1961
+4.47%
9.1M → 9.5M
—
—
$16.93B
United States
Technology
1962
+4.46%
17.4M → 18.2M
—
—
$37.00B
United States
Industrials
1963
+4.44%
30.8M → 32.2M
—
—
$47.25B
United States
Financial Services
1964
+4.44%
2.0M → 2.1M
—
—
$13.76B
United States
Consumer Cyclical
1965
+4.44%
7.2M → 7.5M
—
—
$11.21B
United States
Utilities
1966
+4.43%
1.1M → 1.2M
—
—
$10.40B
United States
Industrials
1967
+4.43%
5.1M → 5.4M
—
—
$229.54M
United States
Financial Services
1968
+4.42%
8.0M → 8.3M
—
—
$11.87B
United States
Technology
1969
+4.41%
10.4M → 10.8M
—
—
$5.37B
United States
Utilities
1970
+4.41%
5.2M → 5.4M
—
—
$345.38B
United Kingdom
Financial Services
1971
+4.41%
16.4M → 17.1M
—
—
$781.67M
United States
Healthcare
1972
+4.41%
440K → 459K
—
—
$33.15M
United States
Financial Services
1973
+4.40%
12.1M → 12.6M
—
—
$15.54B
United States
Financial Services
1974
+4.39%
2.3M → 2.4M
—
—
$472.52M
United States
Healthcare
1975
+4.39%
6.9M → 7.2M
—
—
$717.85M
United States
Healthcare
1976
+4.39%
5.7M → 5.9M
—
—
$14.99B
United States
Technology
1977
+4.38%
11.9M → 12.4M
—
—
$6.13B
United States
Healthcare
1978
+4.38%
16.8M → 17.5M
—
—
$1.47B
United States
Consumer Cyclical
1979
+4.38%
7.5M → 7.8M
—
—
$1.83B
United States
Energy
1980
+4.37%
7.3M → 7.6M
—
—
$5.34B
United States
Energy
1981
+4.37%
364K → 380K
—
—
$15.37M
Sweden
Technology
1982
+4.37%
1.8M → 1.9M
—
—
$641.63M
United States
Technology
1983
+4.37%
5.9M → 6.2M
—
—
$53.81B
United States
Real Estate
1984
+4.37%
2.2M → 2.3M
—
—
$154.44M
United States
Communication Services
1985
+4.36%
12.8M → 13.4M
—
—
$45.91B
United States
Technology
1986
+4.35%
12.4M → 12.9M
—
—
$829.66M
United States
Healthcare
1987
+4.33%
419K → 437K
—
—
$362.97M
United States
Energy
1988
+4.32%
643K → 671K
—
—
$64.56M
United States
Healthcare
1989
+4.31%
2.2M → 2.3M
—
—
$1.13B
United States
Industrials
1990
+4.31%
551K → 575K
—
—
$2.18B
United States
Financial Services
1991
+4.31%
152.2M → 158.8M
—
—
$650.19B
United States
Technology
1992
+4.30%
318K → 332K
—
—
$228.18M
United States
Healthcare
1993
+4.30%
75.7M → 79.0M
—
—
$43.48B
United States
Consumer Defensive
1994
+4.30%
1.7M → 1.8M
—
—
$12.56B
United States
Healthcare
1995
+4.29%
524K → 547K
—
—
$2.25B
United States
Technology
1996
+4.29%
894K → 932K
—
—
$508.26M
United States
Healthcare
1997
+4.27%
1.3M → 1.3M
—
—
$59.67B
Netherlands
Healthcare
1998
+4.27%
9.1M → 9.5M
—
—
$1.06B
United States
Healthcare
1999
+4.26%
449K → 468K
—
—
$23.61B
United States
Financial Services
2000
+4.26%
5.3M → 5.5M
—
—
$1.94B
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

OPRT leads this ranking, followed by TRX and DNTH. 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.