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 22 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
2101
+3.70%
6.0M → 6.3M
—
—
$119.27B
United States
Financial Services
2102
+3.69%
8.5M → 8.8M
—
—
$421.15M
United States
Healthcare
2103
+3.69%
12.2M → 12.6M
—
—
$3.22B
Bermuda
Communication Services
2104
+3.69%
596K → 618K
—
—
$980.42M
United States
Industrials
2105
+3.68%
10.6M → 10.9M
—
—
$104.39B
United States
Communication Services
2106
+3.68%
4.2M → 4.4M
—
—
$234.34M
United States
Consumer Cyclical
2107
+3.67%
1.6M → 1.7M
—
—
$474.76M
Canada
Basic Materials
2108
+3.67%
86K → 89K
—
—
$29.08M
Canada
Energy
2109
+3.67%
28.6M → 29.6M
—
—
$34.69B
United States
Consumer Defensive
2110
+3.67%
580K → 601K
—
—
$81.31M
United States
Technology
2111
+3.66%
101K → 105K
—
—
$52.46M
Canada
Industrials
2112
+3.65%
11.9M → 12.3M
—
—
$62.09B
United States
Financial Services
2113
+3.65%
12.1M → 12.5M
—
—
$12.12B
United States
Healthcare
2114
+3.63%
5.6M → 5.8M
—
—
$14.66B
Canada
Utilities
2115
+3.62%
191.3M → 198.3M
—
—
$12.11B
United States
Consumer Cyclical
2116
+3.62%
19.4M → 20.1M
—
—
$4.03B
United States
Real Estate
2117
+3.62%
515K → 534K
—
—
$864.79M
United States
Financial Services
2118
+3.61%
8.6M → 9.0M
—
—
$2.44B
United States
Healthcare
2119
+3.60%
4.4M → 4.5M
—
—
$228.17M
United States
Technology
2120
+3.59%
3.3M → 3.4M
—
—
$1.92B
Belgium
Healthcare
2121
+3.59%
6.4M → 6.6M
—
—
$3.98B
Canada
Basic Materials
2122
+3.58%
17.7M → 18.3M
—
—
$733.28M
Canada
Technology
2123
+3.58%
4.9M → 5.1M
—
—
$10.41B
United States
Technology
2124
+3.57%
5.7M → 5.9M
—
—
$2.92B
United States
Technology
2125
+3.56%
47K → 49K
—
—
$1.02B
United States
Financial Services
2126
+3.55%
9.5M → 9.9M
—
—
$77.75B
United States
Real Estate
2127
+3.53%
15.5M → 16.1M
—
—
$40.48B
United States
Financial Services
2128
+3.53%
358K → 371K
—
—
$1.06B
United States
Consumer Cyclical
2129
+3.52%
3.3M → 3.4M
—
—
$13.61B
United States
Technology
2130
+3.51%
3.6M → 3.7M
—
—
$6.86B
Israel
Technology
2131
+3.51%
6.9M → 7.2M
—
—
$6.45B
United States
Consumer Cyclical
2132
+3.50%
2.9M → 3.0M
—
—
$870.01M
United States
Financial Services
2133
+3.48%
19.3M → 19.9M
—
—
$122.01M
United States
Healthcare
2134
+3.48%
6.8M → 7.1M
—
—
$678.76M
United States
Healthcare
2135
+3.46%
983K → 1.0M
—
—
$690.22M
United States
Financial Services
2136
+3.45%
9.2M → 9.6M
—
—
$309.07M
United States
Industrials
2137
+3.45%
4.3M → 4.4M
—
—
$24.37B
United States
Industrials
2138
+3.44%
3.4M → 3.5M
—
—
$1.23B
Ireland
Consumer Defensive
2139
+3.44%
14.0M → 14.5M
—
—
$46.32B
Netherlands
Technology
2140
+3.43%
1.3M → 1.4M
—
—
$2.80B
United States
Industrials
2141
+3.43%
960K → 993K
—
—
$227.86M
United States
Technology
2142
+3.43%
3.9M → 4.0M
—
—
$1.20B
United States
Financial Services
2143
+3.43%
24.9M → 25.7M
—
—
$3.13B
Canada
Basic Materials
2144
+3.42%
10.4M → 10.8M
—
—
$208.60B
United States
Financial Services
2145
+3.42%
11.7M → 12.1M
—
—
$7.59B
Canada
Consumer Cyclical
2146
+3.41%
20.7M → 21.4M
—
—
$638.69M
United States
Healthcare
2147
+3.40%
10.5M → 10.8M
—
—
$1.69B
United States
Basic Materials
2148
+3.40%
9.7M → 10.1M
—
—
$8.56B
United States
Industrials
2149
+3.40%
17.7M → 18.3M
—
—
$25.25B
United States
Consumer Cyclical
2150
+3.40%
15.0M → 15.5M
—
—
$912.33M
United States
Industrials
2151
+3.40%
2.1M → 2.1M
—
—
$3.14B
United States
Technology
2152
+3.39%
1.3M → 1.4M
—
—
$2.28B
United States
Consumer Defensive
2153
+3.39%
8.7M → 9.0M
—
—
$1.30B
United States
Consumer Defensive
2154
+3.39%
10.4M → 10.7M
—
—
$33.40B
United States
Utilities
2155
+3.38%
771K → 797K
—
—
$696.84M
United States
Consumer Cyclical
2156
+3.38%
2.4M → 2.5M
—
—
$499.47M
United States
Energy
2157
+3.37%
1.3M → 1.3M
—
—
$653.68M
United States
Real Estate
2158
+3.37%
2.6M → 2.6M
—
—
$14.14B
South Korea
Utilities
2159
+3.36%
29.1M → 30.1M
—
—
$25.06B
United States
Utilities
2160
+3.35%
1.2M → 1.2M
—
—
$797.68M
France
Communication Services
2161
+3.35%
1.4M → 1.4M
—
—
$1.35B
United States
Consumer Cyclical
2162
+3.35%
44K → 46K
—
—
$19.52M
United States
Communication Services
2163
+3.34%
4.1M → 4.3M
—
—
$2.97B
United States
Healthcare
2164
+3.34%
10.6M → 10.9M
—
—
$2.75B
United States
Technology
2165
+3.34%
631K → 652K
—
—
$19.43M
United States
Communication Services
2166
+3.33%
2.6M → 2.7M
—
—
$872.67M
China
Consumer Cyclical
2167
+3.33%
769K → 795K
—
—
$402.35M
United States
Industrials
2168
+3.33%
203K → 210K
—
—
$199.39M
Germany
Healthcare
2169
+3.33%
820K → 848K
—
—
$155.14M
United States
Communication Services
2170
+3.32%
3.9M → 4.0M
—
—
$1.78B
United States
Financial Services
2171
+3.31%
7.4M → 7.6M
—
—
$849.04M
United States
Consumer Defensive
2172
+3.30%
4.2M → 4.3M
—
—
$452.38M
United States
Healthcare
2173
+3.30%
890K → 919K
—
—
$408.88M
United States
Consumer Cyclical
2174
+3.30%
593K → 613K
—
—
$20.77M
United States
Healthcare
2175
+3.30%
39.3M → 40.6M
—
—
$377.81B
United States
Consumer Defensive
2176
+3.30%
4.8M → 5.0M
—
—
$154.65M
United States
Healthcare
2177
+3.30%
24.6M → 25.4M
—
—
$1.97B
United States
Healthcare
2178
+3.29%
1.9M → 2.0M
—
—
$514.23M
United States
Energy
2179
+3.28%
16.2M → 16.7M
—
—
$11.17B
United States
Healthcare
2180
+3.27%
2.8M → 2.9M
—
—
$77.69M
United States
Healthcare
2181
+3.27%
92.9M → 96.0M
—
—
$1.66B
United States
Industrials
2182
+3.27%
32K → 33K
—
—
$22.60M
Singapore
Industrials
2183
+3.26%
260K → 269K
—
—
$36.22M
China
Technology
2184
+3.26%
4.4M → 4.6M
—
—
$4.24B
United States
Consumer Cyclical
2185
+3.25%
3.2M → 3.3M
—
—
$2.18B
United States
Industrials
2186
+3.25%
5.3M → 5.5M
—
—
$428.99M
United States
Healthcare
2187
+3.24%
38K → 39K
—
—
$196.16M
China
Healthcare
2188
+3.24%
1.0M → 1.1M
—
—
$1.61B
United States
Real Estate
2189
+3.24%
3.8M → 3.9M
—
—
$1.95B
United States
Consumer Defensive
2190
+3.23%
145.4M → 150.1M
—
—
$1.34B
United States
Technology
2191
+3.23%
913K → 942K
—
—
$33.62B
United States
Industrials
2192
+3.22%
167K → 172K
—
—
$235.43M
United States
Healthcare
2193
+3.21%
45.0M → 46.5M
—
—
$1.22B
United States
Consumer Defensive
2194
+3.21%
157K → 162K
—
—
$48.63M
United States
Healthcare
2195
+3.20%
6.2M → 6.4M
—
—
$64.91B
Canada
Basic Materials
2196
+3.19%
10.8M → 11.2M
—
—
$1.27B
United States
Healthcare
2197
+3.19%
3.4M → 3.5M
—
—
$868.21M
United States
Real Estate
2198
+3.18%
6.3M → 6.5M
—
—
$289.33M
United States
Basic Materials
2199
+3.18%
7.3M → 7.6M
—
—
$1.00B
United States
Healthcare
2200
+3.18%
7.9M → 8.1M
—
—
$3.09B
United States
Consumer Cyclical
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

PGR leads this ranking, followed by KYTX and LBTYA. 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.