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 16 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
1501
+7.18%
375K → 402K
—
—
$460.93M
United States
Financial Services
1502
+7.18%
17.0M → 18.3M
—
—
$2.08B
United States
Real Estate
1503
+7.18%
5.1M → 5.4M
—
—
$3.94B
United States
Industrials
1504
+7.15%
17.2M → 18.4M
—
—
$68.60B
United States
Consumer Defensive
1505
+7.15%
24.2M → 26.0M
—
—
$818.63M
United States
Basic Materials
1506
+7.13%
217K → 233K
—
—
$164.25M
United States
Real Estate
1507
+7.12%
485K → 519K
—
—
$2.77B
United States
Industrials
1508
+7.11%
7.4M → 7.9M
—
—
$65.88B
Mexico
Communication Services
1509
+7.11%
5.7M → 6.1M
—
—
$45.27M
United States
Consumer Defensive
1510
+7.11%
10.9M → 11.6M
—
—
$5.83B
United States
Consumer Defensive
1511
+7.10%
7.2M → 7.7M
—
—
$354.33M
United States
Energy
1512
+7.10%
3.6M → 3.9M
—
—
$28.00B
Luxembourg
Energy
1513
+7.09%
7.1M → 7.6M
—
—
$34.09B
Colombia
Energy
1514
+7.08%
829K → 888K
—
—
$627.22M
Canada
Industrials
1515
+7.08%
405K → 434K
—
—
$537.18M
United States
Real Estate
1516
+7.06%
952K → 1.0M
—
—
$2.26B
United States
Industrials
1517
+7.05%
3.4M → 3.6M
—
—
$19.10B
United States
Industrials
1518
+7.04%
1.8M → 2.0M
—
—
$345.30M
United States
Financial Services
1519
+7.04%
686K → 734K
—
—
$931.82M
United States
Consumer Defensive
1520
+7.03%
132.6M → 141.9M
—
—
$44.86B
Brazil
Consumer Defensive
1521
+7.03%
6.1M → 6.5M
—
—
$6.09B
United States
Industrials
1522
+7.03%
3.8M → 4.1M
—
—
$122.51M
United States
Healthcare
1523
+7.03%
155K → 166K
—
—
$368.52M
United States
Financial Services
1524
+7.01%
4.1M → 4.4M
—
—
$476.74M
United States
Energy
1525
+7.00%
20.6M → 22.0M
—
—
$24.26B
United States
Financial Services
1526
+7.00%
5.4M → 5.8M
—
—
$7.66B
United States
Basic Materials
1527
+6.98%
7.7M → 8.2M
—
—
$36.04B
United States
Industrials
1528
+6.96%
1.1M → 1.2M
—
—
$685.13M
United States
Financial Services
1529
+6.96%
9.8M → 10.5M
—
—
$253.45M
United States
Consumer Cyclical
1530
+6.96%
1.3M → 1.4M
—
—
$2.48B
Canada
Technology
1531
+6.95%
979K → 1.0M
—
—
$1.12B
United States
Financial Services
1532
+6.95%
28.9M → 30.9M
—
—
$7.31B
United States
Basic Materials
1533
+6.93%
5.3M → 5.6M
—
—
$186.17B
United States
Industrials
1534
+6.93%
7.0M → 7.5M
—
—
$429.57M
United States
Consumer Cyclical
1535
+6.92%
11.6M → 12.4M
—
—
$1.38B
United States
Industrials
1536
+6.92%
5.1M → 5.4M
—
—
$4.96B
United Kingdom
Consumer Cyclical
1537
+6.92%
424K → 453K
—
—
$148.39M
United States
Technology
1538
+6.90%
1.1M → 1.1M
—
—
$335.64M
United States
Consumer Cyclical
1539
+6.87%
4.6M → 4.9M
—
—
$271.17M
United States
Technology
1540
+6.85%
1.7M → 1.8M
—
—
$1.43B
United States
Technology
1541
+6.85%
130.0M → 138.9M
—
—
$8.97B
China
Consumer Cyclical
1542
+6.85%
9.3M → 10.0M
—
—
$12.43B
United States
Real Estate
1543
+6.84%
6.4M → 6.9M
—
—
$2.70B
United States
Financial Services
1544
+6.84%
17.0M → 18.2M
—
—
$131.60M
United States
Technology
1545
+6.83%
53K → 57K
—
—
$68.62M
Hong Kong
Consumer Cyclical
1546
+6.82%
6.5M → 6.9M
—
—
$31.76M
United States
Healthcare
1547
+6.82%
14.0M → 14.9M
—
—
$1.26B
United States
Technology
1548
+6.82%
610K → 652K
—
—
$1.17B
United States
Financial Services
1549
+6.81%
2.1M → 2.2M
—
—
$702.10M
United States
Financial Services
1550
+6.80%
2.6M → 2.7M
—
—
$1.59B
Canada
Basic Materials
1551
+6.80%
3.0M → 3.2M
—
—
$921.29M
Canada
Healthcare
1552
+6.80%
4.7M → 5.0M
—
—
$2.48B
United States
Healthcare
1553
+6.79%
10.6M → 11.3M
—
—
$6.89B
United States
Healthcare
1554
+6.79%
225K → 241K
—
—
$119.97M
United States
Energy
1555
+6.78%
4.0M → 4.2M
—
—
$1.84B
United States
Industrials
1556
+6.78%
1.9M → 2.0M
—
—
$20.91B
United States
Healthcare
1557
+6.77%
4.2M → 4.5M
—
—
$10.74B
United States
Communication Services
1558
+6.77%
393K → 420K
—
—
$233.24M
United States
Utilities
1559
+6.76%
6.4M → 6.9M
—
—
$1.77B
United States
Financial Services
1560
+6.76%
874K → 933K
—
—
$3.29B
United States
Financial Services
1561
+6.75%
4.4M → 4.7M
—
—
$1.99B
United States
Technology
1562
+6.74%
1.9M → 2.0M
—
—
$176.50B
Australia
Financial Services
1563
+6.74%
2.2M → 2.3M
—
—
$61.20M
United States
Technology
1564
+6.73%
13.1M → 14.0M
—
—
$3.51B
Bermuda
Energy
1565
+6.72%
4.0M → 4.2M
—
—
$578.05M
United States
Technology
1566
+6.72%
375K → 400K
—
—
$898.55M
United States
Financial Services
1567
+6.71%
1.2M → 1.3M
—
—
$3.01B
United States
Consumer Cyclical
1568
+6.69%
20.2M → 21.6M
—
—
$3.98B
United States
Technology
1569
+6.69%
1.2M → 1.3M
—
—
$1.86B
United States
Financial Services
1570
+6.69%
29.8M → 31.8M
—
—
$154.82M
United States
Healthcare
1571
+6.69%
16.0M → 17.1M
—
—
$3.95B
United States
Utilities
1572
+6.69%
28.1M → 29.9M
—
—
$2.12B
United States
Healthcare
1573
+6.69%
7.7M → 8.2M
—
—
$34.12B
United States
Technology
1574
+6.68%
1.1M → 1.1M
—
—
$1.45B
United States
Consumer Defensive
1575
+6.68%
7.5M → 8.0M
—
—
$3.26B
United States
Consumer Defensive
1576
+6.68%
7.2M → 7.7M
—
—
$783.20M
United States
Technology
1577
+6.68%
11.8M → 12.6M
—
—
$42.89B
Canada
Industrials
1578
+6.67%
2.2M → 2.4M
—
—
$4.41B
United States
Technology
1579
+6.67%
1.9M → 2.0M
—
—
$437.59M
United States
Industrials
1580
+6.67%
277K → 296K
—
—
$286.90M
United States
Financial Services
1581
+6.66%
1.3M → 1.4M
—
—
$1.51B
Luxembourg
Consumer Defensive
1582
+6.66%
629K → 671K
—
—
$3.44B
United States
Industrials
1583
+6.65%
3.6M → 3.8M
—
—
$2.27B
United States
Consumer Cyclical
1584
+6.65%
13.0M → 13.9M
—
—
$1.95B
—
—
1585
+6.64%
868K → 926K
—
—
$260.42M
United States
Technology
1586
+6.63%
931K → 992K
—
—
$128.28M
United States
Healthcare
1587
+6.62%
1.9M → 2.0M
—
—
$762.53M
United States
Consumer Defensive
1588
+6.62%
7.7M → 8.3M
—
—
$215.34M
United States
Healthcare
1589
+6.61%
25.5M → 27.2M
—
—
$587.39M
United States
Healthcare
1590
+6.61%
7.1M → 7.6M
—
—
$529.25M
Canada
Healthcare
1591
+6.61%
10.2M → 10.9M
—
—
$3.48B
United States
Financial Services
1592
+6.61%
1.4M → 1.5M
—
—
$15.26M
United States
Technology
1593
+6.60%
8.0M → 8.5M
—
—
$8.46B
United States
Technology
1594
+6.60%
17.7M → 18.9M
—
—
$129.34B
United States
Real Estate
1595
+6.59%
9.4M → 10.0M
—
—
$25.11B
United States
Healthcare
1596
+6.59%
18.5M → 19.7M
—
—
$948.58M
United States
Industrials
1597
+6.58%
18.1M → 19.3M
—
—
$1.00B
United States
Healthcare
1598
+6.56%
1.3M → 1.4M
—
—
$81.68M
United States
Industrials
1599
+6.56%
2.0M → 2.1M
—
—
$1.76B
United States
Financial Services
1600
+6.56%
25.9M → 27.6M
—
—
$2.32B
United States
Financial 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

CZNC leads this ranking, followed by PEB and PRIM. 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.