STOCK TITAN

Short Interest Decreases — Positions Being Covered

US-listed companies whose reported short position fell the most between the two most recent FINRA settlement files. A fall is consistent with covering and equally with a share base that changed underneath the count, so the marked rows matter as much as the ranking.
Settlement Sep 15, 2026
next publication (FINRA schedule) Oct 9, 2026
data 13 days old
Reporting period September 2026
Direction Falling short interest
Page 2 of 18

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.
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
101
-34.98%
64K → 42K
—
—
$129.52M
Greece
Energy
102
-34.76%
39K → 25K
—
—
$32.79M
United States
Healthcare
103
-34.54%
248K → 162K
—
—
$25.42M
United States
Technology
104
-34.34%
123K → 81K
—
—
$16.02M
United States
Consumer Defensive
105
-34.07%
123K → 81K
—
—
$342.14M
United States
Financial Services
106
-33.95%
304K → 201K
—
—
$10.22M
Hong Kong
Technology
107
-33.68%
311K → 206K
—
—
$32.09M
United States
Communication Services
108
-33.55%
78K → 52K
—
—
$10.33M
China
Technology
109
-33.53%
56K → 37K
—
—
$116.06M
United States
Financial Services
110
-33.39%
233K → 155K
—
—
$183.96M
Canada
Basic Materials
111
-33.37%
844K → 563K
—
—
$22.30M
Canada
Basic Materials
112
-33.25%
167K → 112K
—
—
$20.66M
Singapore
Industrials
113
-33.21%
113K → 75K
—
—
$297.54M
United States
Financial Services
114
-33.15%
195K → 130K
—
—
$106.03M
Israel
Healthcare
115
-33.10%
1.6M → 1.1M
—
—
$271.66M
China
Healthcare
116
-32.92%
8.2M → 5.5M
—
—
$21.45M
Canada
Basic Materials
117
-32.51%
291K → 196K
—
—
$55.17M
United States
Basic Materials
118
-32.34%
222K → 150K
—
—
$11.73M
United States
Healthcare
119
-32.27%
175K → 118K
—
—
$22.39M
United States
Communication Services
120
-32.12%
99K → 67K
—
—
$960.41M
United States
Financial Services
121
-32.06%
7.3M → 5.0M
—
—
$1.15B
United States
Real Estate
122
-31.51%
209K → 143K
—
—
$33.05M
United States
Communication Services
123
-31.45%
57.0M → 39.1M
—
—
$11.80B
United States
Consumer Cyclical
124
-31.23%
2.4M → 1.6M
—
—
$336.32M
United States
Real Estate
125
-31.20%
878K → 604K
—
—
$674.57M
United States
Industrials
126
-31.10%
82K → 56K
—
—
$220.74M
United States
Financial Services
127
-31.09%
94K → 64K
—
—
$187.04M
United States
Financial Services
128
-30.95%
10.7M → 7.4M
—
—
$9.30B
Switzerland
Consumer Cyclical
129
-30.53%
1.0M → 716K
—
—
$160.04M
United States
Financial Services
130
-30.53%
91K → 63K
—
—
$11.83M
United States
Healthcare
131
-30.44%
55K → 38K
—
—
$487.95M
United States
Financial Services
132
-30.37%
20.0M → 13.9M
—
—
$2.14B
Cayman Islands
Technology
133
-30.24%
365K → 254K
—
—
$32.32M
China
Industrials
134
-30.17%
95K → 66K
—
—
$301.96M
United States
Financial Services
135
-30.03%
68K → 48K
—
—
$263.15M
United States
Financial Services
136
-29.94%
613K → 430K
—
—
$861.13M
United States
Financial Services
137
-29.93%
521K → 365K
—
—
$992.91M
Australia
Energy
138
-29.86%
1.9M → 1.3M
—
—
$776.70M
United States
Real Estate
139
-29.83%
60K → 42K
—
—
$137.85M
United States
Financial Services
140
-29.67%
817K → 575K
—
—
$25.84M
United States
Industrials
141
-29.64%
75K → 53K
—
—
$270.15M
United States
Financial Services
142
-29.58%
29.5M → 20.7M
—
—
$80.52B
Canada
Energy
143
-29.48%
60K → 42K
—
—
$99.88M
United States
Communication Services
144
-29.43%
892K → 629K
—
—
$11.23M
United States
Consumer Defensive
145
-29.34%
1.8M → 1.3M
—
—
$358.08M
United States
Real Estate
146
-29.30%
1.2M → 851K
—
—
$18.18B
Kazakhstan
Technology
147
-29.23%
538K → 381K
—
—
$198.77M
United States
Technology
148
-29.07%
1.3M → 952K
—
—
$2.01B
Finland
Technology
149
-29.06%
12.6M → 8.9M
—
—
$13.49B
United States
Technology
150
-28.98%
938K → 666K
—
—
$75.59M
United States
Energy
151
-28.96%
979K → 695K
—
—
$2.17B
United States
Financial Services
152
-28.91%
38K → 27K
—
—
$880.39M
Taiwan
Healthcare
153
-28.80%
371K → 264K
—
—
$24.06M
Canada
Technology
154
-28.74%
422K → 301K
—
—
$31.54M
United States
Technology
155
-28.39%
313K → 224K
—
—
$1.70B
United States
Financial Services
156
-28.14%
191K → 137K
—
—
$417.56M
United States
Financial Services
157
-28.10%
1.7M → 1.2M
—
—
$242.27M
United States
Energy
158
-28.02%
92K → 66K
—
—
$1.90B
Singapore
Technology
159
-27.96%
6.8M → 4.9M
—
—
$21.72B
Denmark
Healthcare
160
-27.89%
2.9M → 2.1M
—
—
$258.35B
United Kingdom
Healthcare
161
-27.79%
50K → 36K
—
—
$45.55M
United States
Communication Services
162
-27.65%
218K → 157K
—
—
$193.51M
Taiwan
Technology
163
-27.42%
571K → 414K
—
—
$23.98M
United States
Financial Services
164
-27.33%
4.7M → 3.4M
—
—
$251.26M
United States
Consumer Defensive
165
-27.32%
2.0M → 1.4M
—
—
$182.21M
United States
Energy
166
-27.08%
315K → 230K
—
—
$1.65B
Luxembourg
Basic Materials
167
-27.06%
24.7M → 18.0M
—
—
$7.34B
United States
Technology
168
-26.46%
31.7M → 23.3M
—
—
$19.56B
Canada
Communication Services
169
-26.41%
35K → 25K
—
—
$24.51M
China
Healthcare
170
-26.36%
8.7M → 6.4M
—
—
$12.49B
United States
Consumer Cyclical
171
-26.18%
8.5M → 6.3M
—
—
$8.56B
United Kingdom
Industrials
172
-26.11%
6.1M → 4.5M
—
—
$104.85B
Sweden
Communication Services
173
-26.09%
489K → 362K
—
—
$22.48M
China
Energy
174
-26.00%
3.4M → 2.5M
—
—
$1.70B
United States
Healthcare
175
-25.98%
2.2M → 1.7M
—
—
$70.63M
United States
Financial Services
176
-25.93%
664K → 492K
—
—
$962.37M
United States
Financial Services
177
-25.89%
4.1M → 3.0M
—
—
$35.38M
Greece
Healthcare
178
-25.80%
1.6M → 1.2M
—
—
$797.09M
United States
Financial Services
179
-25.77%
683K → 507K
—
—
$1.42B
United States
Consumer Cyclical
180
-25.57%
1.5M → 1.1M
—
—
$14.81B
United States
Industrials
181
-25.50%
481K → 358K
—
—
$11.52M
Singapore
Industrials
182
-25.39%
60K → 45K
—
—
$29.83M
Canada
Consumer Defensive
183
-25.37%
319K → 238K
—
—
$66.35M
China
Consumer Cyclical
184
-25.17%
5.8M → 4.3M
—
—
$89.81B
United States
Technology
185
-25.13%
321K → 240K
—
—
$53.45M
China
Consumer Cyclical
186
-25.12%
1.5M → 1.1M
—
—
$13.79B
Canada
Utilities
187
-25.09%
6.1M → 4.5M
—
—
$613.67M
Brazil
Basic Materials
188
-25.08%
1.2M → 873K
—
—
$39.13M
United States
Industrials
189
-24.33%
238K → 180K
—
—
$335.36M
United States
Financial Services
190
-24.31%
18.1M → 13.7M
—
—
$17.24B
Canada
Communication Services
191
-24.26%
20.9M → 15.8M
—
—
$36.11B
Brazil
Financial Services
192
-24.19%
4.0M → 3.0M
—
—
$13.14B
Ireland
Industrials
193
-24.12%
263K → 199K
—
—
$932.86M
United States
Financial Services
194
-24.12%
141K → 107K
—
—
$610.08M
United States
Financial Services
195
-23.98%
990K → 752K
—
—
$340.36M
Canada
Energy
196
-23.84%
284K → 216K
—
—
$894.14M
United States
Financial Services
197
-23.71%
57K → 44K
—
—
$10.48M
United States
Technology
198
-23.46%
274K → 210K
—
—
$71.01M
Jersey
Communication Services
199
-23.40%
2.8M → 2.1M
—
—
$77.70M
United States
Healthcare
200
-23.38%
5.8M → 4.5M
—
—
$119.76B
Canada
Financial Services
Looking for a specific Symbol?
* 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 decrease this period?
A

DLNG leads this ranking, followed by NSPR and AIFA. 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 What does a large drop in short interest actually tell you?
A

Less than it appears. A fall in the reported position is consistent with shorts buying back, which is the reading most people reach for, but it is equally consistent with a share count that changed underneath the figure: a reverse split rebases the position without anyone trading, and a symbol leaving the settlement file entirely can read as a collapse to zero. Even genuine covering says nothing about why, since a short may be closing at a profit, at a loss, or simply rebalancing. Check the raw share counts beside the percentage and whether a corporate action landed between the two settlement dates before treating a decrease as a signal.

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.