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 7 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
601
+17.49%
2.9M → 3.4M
—
—
$8.81B
United States
Financial Services
602
+17.46%
605K → 711K
—
—
$2.07B
United States
Financial Services
603
+17.40%
179K → 210K
—
—
$229.90M
United States
Healthcare
604
+17.36%
3.9M → 4.6M
—
—
$1.49B
United States
Healthcare
605
+17.35%
20.6M → 24.1M
—
—
$1.45B
United States
Consumer Defensive
606
+17.35%
8.9M → 10.4M
—
—
$698.69M
United States
Real Estate
607
+17.34%
9.2M → 10.8M
—
—
$5.78B
United States
Industrials
608
+17.33%
517K → 606K
—
—
$625.68M
United States
Communication Services
609
+17.29%
64.9M → 76.1M
—
—
$3.46B
United States
Industrials
610
+17.27%
26.6M → 31.1M
—
—
$69.52B
United States
Energy
611
+17.24%
10.0M → 11.8M
—
—
$1.18B
United States
Technology
612
+17.23%
4.5M → 5.3M
—
—
$255.05M
United States
Technology
613
+17.21%
8.3M → 9.8M
—
—
$17.35B
United States
Basic Materials
614
+17.15%
3.7M → 4.3M
—
—
$25.26B
United States
Industrials
615
+17.15%
474K → 555K
—
—
$527.88M
United States
Technology
616
+17.14%
4.0M → 4.7M
—
—
$219.81M
United States
Communication Services
617
+17.11%
4.9M → 5.8M
—
—
$896.43M
United States
Communication Services
618
+17.11%
263K → 308K
—
—
$590.22M
United States
Financial Services
619
+17.11%
1.6M → 1.9M
—
—
$1.79B
United States
Financial Services
620
+17.11%
1.5M → 1.8M
—
—
$1.57B
United States
Basic Materials
621
+17.10%
2.7M → 3.2M
—
—
$10.94B
United States
Technology
622
+17.10%
6.1M → 7.1M
—
—
$3.42B
Italy
Consumer Cyclical
623
+17.09%
14.5M → 17.0M
—
—
$27.60B
United States
Financial Services
624
+17.08%
273K → 320K
—
—
$74.24M
United States
Technology
625
+16.98%
2.3M → 2.7M
—
—
$239.85M
United States
Healthcare
626
+16.95%
7.7M → 9.0M
—
—
$5.07B
Bermuda
Energy
627
+16.95%
5.1M → 6.0M
—
—
$13.70B
China
Consumer Cyclical
628
+16.94%
13.4M → 15.7M
—
—
$2.64B
Netherlands
Healthcare
629
+16.93%
1.0M → 1.2M
—
—
$754.68M
United States
Industrials
630
+16.92%
270K → 316K
—
—
$235.64M
United States
Financial Services
631
+16.92%
2.5M → 3.0M
—
—
$723.47M
United States
Technology
632
+16.91%
2.0M → 2.4M
—
—
$2.16B
United States
Industrials
633
+16.91%
545K → 637K
—
—
$403.36M
United States
Consumer Cyclical
634
+16.88%
745K → 871K
—
—
$155.17M
United States
Industrials
635
+16.88%
646K → 755K
—
—
$267.91M
United States
Consumer Defensive
636
+16.80%
1.3M → 1.5M
—
—
$541.09M
Canada
Basic Materials
637
+16.80%
3.6M → 4.2M
—
—
$1.58B
United States
Industrials
638
+16.78%
5.7M → 6.6M
—
—
$23.68B
United States
Industrials
639
+16.75%
1.1M → 1.3M
—
—
$3.19B
United States
Industrials
640
+16.73%
483K → 564K
—
—
$810.08M
United States
Financial Services
641
+16.71%
1.1M → 1.3M
—
—
$373.73M
United States
Consumer Cyclical
642
+16.71%
9.6M → 11.3M
—
—
$10.04B
United States
Technology
643
+16.70%
8.5M → 10.0M
—
—
$5.84B
United States
Financial Services
644
+16.70%
4.2M → 4.9M
—
—
$64.95B
United States
Industrials
645
+16.65%
3.8M → 4.5M
—
—
$2.48B
United States
Financial Services
646
+16.63%
3.6M → 4.2M
—
—
$5.15B
United States
Consumer Defensive
647
+16.62%
3.1M → 3.7M
—
—
$388.69M
United States
Consumer Cyclical
648
+16.59%
6.5M → 7.5M
—
—
$4.60B
United States
Energy
649
+16.57%
134K → 156K
—
—
$273.45M
United States
Financial Services
650
+16.54%
7.3M → 8.5M
—
—
$669.71M
United States
Healthcare
651
+16.54%
79K → 93K
—
—
$263.16M
United States
Financial Services
652
+16.53%
988K → 1.2M
—
—
$492.34M
United States
Industrials
653
+16.45%
2.3M → 2.7M
—
—
$332.07M
United States
Industrials
654
+16.44%
1.7M → 1.9M
—
—
$7.88B
United States
Healthcare
655
+16.44%
15.6M → 18.1M
—
—
$13.45B
United States
Consumer Cyclical
656
+16.42%
2.1M → 2.4M
—
—
$25.11B
United States
Healthcare
657
+16.41%
44.5M → 51.8M
—
—
$198.45M
United States
Consumer Cyclical
658
+16.40%
31.8M → 37.0M
—
—
$8.71B
United States
Communication Services
659
+16.38%
8.3M → 9.7M
—
—
$1.82B
United Kingdom
Consumer Cyclical
660
+16.34%
2.9M → 3.3M
—
—
$3.11B
United States
Financial Services
661
+16.33%
2.2M → 2.6M
—
—
$1.38B
United States
Healthcare
662
+16.33%
142K → 165K
—
—
$17.07M
United States
Healthcare
663
+16.33%
87K → 102K
—
—
$257.81M
United States
Industrials
664
+16.29%
65K → 76K
—
—
$56.80M
United States
Financial Services
665
+16.26%
133K → 154K
—
—
$379.29M
United States
Healthcare
666
+16.20%
1.2M → 1.3M
—
—
$52.41M
Canada
Basic Materials
667
+16.20%
79K → 91K
—
—
$37.21M
United States
Healthcare
668
+16.20%
1.4M → 1.7M
—
—
$990.30M
United States
Financial Services
669
+16.20%
645K → 749K
—
—
$3.28B
United States
Financial Services
670
+16.12%
4.3M → 5.0M
—
—
$2.20B
United States
Consumer Cyclical
671
+16.10%
8.5M → 9.9M
—
—
$92.71B
United States
Industrials
672
+16.10%
3.6M → 4.2M
—
—
$86.25M
United States
Healthcare
673
+16.09%
897K → 1.0M
—
—
$1.70B
United States
Technology
674
+16.08%
1.8M → 2.1M
—
—
$2.56B
United States
Financial Services
675
+16.08%
4.2M → 4.8M
—
—
$5.29B
United States
Real Estate
676
+16.05%
15.8M → 18.3M
—
—
$17.23B
United States
Energy
677
+16.03%
126K → 146K
—
—
$532.02M
United States
Financial Services
678
+16.02%
5.3M → 6.1M
—
—
$160.57M
United States
Real Estate
679
+15.99%
2.6M → 3.0M
—
—
$887.55M
China
Financial Services
680
+15.96%
39K → 45K
—
—
$10.89M
Singapore
Consumer Cyclical
681
+15.92%
1.6M → 1.9M
—
—
$1.67B
United States
Real Estate
682
+15.92%
1.6M → 1.8M
—
—
$159.67M
United States
Consumer Cyclical
683
+15.92%
2.3M → 2.7M
—
—
$7.44B
Vietnam
Consumer Cyclical
684
+15.91%
3.0M → 3.4M
—
—
$332.20M
United States
Technology
685
+15.90%
3.9M → 4.5M
—
—
$517.48M
United States
Real Estate
686
+15.85%
893K → 1.0M
—
—
$225.40B
Japan
Consumer Cyclical
687
+15.82%
320K → 370K
—
—
$2.32B
United States
Financial Services
688
+15.82%
524K → 607K
—
—
$821.60M
United States
Financial Services
689
+15.82%
1.6M → 1.9M
—
—
$378.05M
United States
Basic Materials
690
+15.81%
14.1M → 16.3M
—
—
$2.00B
United States
Real Estate
691
+15.76%
49K → 57K
—
—
$40.07M
United States
Consumer Cyclical
692
+15.73%
1.6M → 1.8M
—
—
$853.64M
Switzerland
Industrials
693
+15.72%
4.5M → 5.2M
—
—
$1.07B
China
Financial Services
694
+15.70%
565K → 653K
—
—
$6.69B
United States
Healthcare
695
+15.69%
4.0M → 4.7M
—
—
$41.29M
United States
Basic Materials
696
+15.67%
2.5M → 2.9M
—
—
$257.72M
United States
Industrials
697
+15.67%
3.4M → 4.0M
—
—
$2.90B
United States
Financial Services
698
+15.65%
258K → 299K
—
—
$433.48M
United States
Financial Services
699
+15.63%
5.0M → 5.8M
—
—
$3.92B
Bermuda
Consumer Cyclical
700
+15.62%
32.1M → 37.1M
—
—
$1.02B
United States
Industrials
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

VOYA leads this ranking, followed by SRCE and PDEX. 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.