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 30, 2026
next publication (FINRA schedule) Oct 26, 2026
data 12 days old
Reporting period September 2026
Direction Falling short interest
Page 22 of 22

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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
2101
-0.20%
3.9M → 3.9M
17.65%
12.9
$1.78B
United States
Consumer Defensive
2102
-0.19%
2.9M → 2.9M
24.85%
4.5
$314.51M
United States
Consumer Cyclical
2103
-0.19%
734K → 733K
4.45%
7.0
$937.62M
United States
Financial Services
2104
-0.19%
1.5M → 1.5M
1.16%
2.4
$121.39B
United States
Industrials
2105
-0.19%
4.2M → 4.2M
6.16%
8.9
$24.90B
United States
Energy
2106
-0.18%
1.5M → 1.5M
4.07%
2.9
$1.16B
United States
Industrials
2107
-0.17%
7.4M → 7.4M
13.44%
5.3
$1.05B
United States
Healthcare
2108
-0.16%
146K → 146K
3.03%
11.1
$11.03M
Israel
Healthcare
2109
-0.16%
2.6M → 2.6M
16.83%of outstanding
3.5
$452.72M
United States
Industrials
2110
-0.16%
3.3M → 3.3M
5.97%
15.4
$1.86B
Australia
Healthcare
2111
-0.16%
1.3M → 1.3M
4.17%
1.9
$3.06B
United States
Industrials
2112
-0.14%
5.1M → 5.1M
8.13%
8.7
$5.33B
United States
Industrials
2113
-0.14%
3.0M → 3.0M
0.47%
5.1
$79.55B
China
Communication Services
2114
-0.13%
6.4M → 6.4M
5.89%
7.2
$987.23M
United States
Financial Services
2115
-0.12%
325K → 325K
2.76%
1000.0
$118.18M
Hong Kong
Consumer Cyclical
2116
-0.10%
11.3M → 11.3M
9.00%
3.1
$6.93B
United States
Healthcare
2117
-0.08%
32.3M → 32.2M
17.40%
2.3
$245.56M
United States
Technology
2118
-0.07%
434K → 433K
9.29%
4.3
$630.56M
United States
Consumer Cyclical
2119
-0.07%
7.9M → 7.9M
9.38%
3.9
$133.62M
United States
Industrials
2120
-0.07%
5.0M → 5.0M
8.95%
7.4
$2.48B
United States
Healthcare
2121
-0.06%
3.4M → 3.4M
20.47%
8.3
$143.69M
United States
Healthcare
2122
-0.05%
575K → 575K
11.90%
1000.0
$445.55M
Hong Kong
Healthcare
2123
-0.05%
6.4M → 6.4M
17.99%
7.0
$248.67M
United States
Technology
2124
-0.05%
35.5M → 35.5M
4.72%
5.1
$25.77B
United States
Utilities
2125
-0.05%
32.1M → 32.1M
22.22%
8.4
$723.69M
United States
Healthcare
2126
-0.05%
2.7M → 2.7M
0.28%
2.9
$12.65B
Indonesia
Communication Services
2127
-0.04%
79.2M → 79.1M
5.91%
5.5
$28.44B
United States
Consumer Cyclical
2128
-0.04%
5.4M → 5.4M
6.51%
13.1
$59.01M
United States
Technology
2129
-0.04%
5.1M → 5.1M
7.50%
3.1
$593.72M
United States
Healthcare
2130
-0.02%
35.4M → 35.4M
6.54%
2.2
$13.92B
United States
Technology
2131
-0.01%
2.4M → 2.4M
5.73%
5.0
$24.39B
United States
Consumer Cyclical
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

SPB leads this ranking, followed by BBW and CAC. 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 30, 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.