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 17 days old
Reporting period September 2026
Direction Rising short interest
Page 6 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
501
+20.36%
3.6M → 4.4M
0.44%
1.4
$2.71B
Brazil
Energy
502
+20.36%
4.5M → 5.4M
3.52%
3.5
$44.91B
United States
Technology
503
+20.36%
4.4M → 5.3M
17.51%
10.5
$3.47B
United States
Energy
504
+20.29%
179K → 216K
5.16%
5.2
$278.16M
United States
Financial Services
505
+20.27%
427K → 513K
5.59%
5.2
$320.11M
United States
Consumer Defensive
506
+20.26%
3.4M → 4.1M
10.53%
8.8
$4.22B
United States
Technology
507
+20.14%
13.1M → 15.7M
6.73%
3.7
$3.51B
United States
Real Estate
508
+20.09%
13.7M → 16.4M
7.05%
9.2
$2.77B
United States
Real Estate
509
+20.08%
1.1M → 1.3M
5.41%
4.4
$768.49M
United States
Healthcare
510
+20.08%
29.6M → 35.6M
30.94%
7.9
$973.94M
United States
Consumer Cyclical
511
+20.05%
14.6M → 17.5M
3.62%
11.3
$31.30B
Switzerland
Healthcare
512
+20.03%
1.4M → 1.7M
1.80%
4.5
$41.40B
Switzerland
Healthcare
513
+20.02%
5.4M → 6.4M
1.15%
2.0
$85.35B
United States
Financial Services
514
+19.98%
4.3M → 5.1M
7.38%
2.0
$774.51M
United States
Technology
515
+19.93%
654K → 784K
2.28%
2.5
$338.25M
United States
Financial Services
516
+19.91%
555K → 665K
3.47%
6.1
$768.15M
United States
Financial Services
517
+19.91%
1.6M → 1.9M
4.37%
3.3
$4.68B
United States
Industrials
518
+19.82%
36.1M → 43.2M
2.06%
3.8
$9.26B
Brazil
Basic Materials
519
+19.81%
9.8M → 11.8M
9.05%
5.2
$5.11B
United States
Healthcare
520
+19.81%
6.4M → 7.7M
4.00%
5.4
$7.05B
United States
Real Estate
521
+19.77%
1.2M → 1.4M
0.14%
1.4
$76.23B
United Kingdom
Utilities
522
+19.74%
4.7M → 5.6M
9.82%
5.6
$2.16B
United States
Technology
523
+19.74%
21.6M → 25.9M
4.70%
6.3
$770.11M
Canada
Basic Materials
524
+19.74%
1.6M → 2.0M
6.02%
2.4
$9.49B
Hong Kong
Technology
525
+19.74%
15.2M → 18.2M
16.76%
3.0
$4.01B
United States
Technology
526
+19.67%
869K → 1.0M
4.21%
3.8
$9.45B
United States
Financial Services
527
+19.63%
546K → 653K
0.83%
2.2
$188.95M
Israel
Technology
528
+19.60%
2.9M → 3.4M
7.63%
5.7
$4.79B
United States
Healthcare
529
+19.56%
4.5M → 5.4M
10.87%
5.7
$4.84B
United States
Consumer Cyclical
530
+19.56%
906K → 1.1M
5.31%
16.4
$10.67B
United States
Financial Services
531
+19.56%
1.7M → 2.1M
4.82%
13.7
$580.78M
Canada
Energy
532
+19.49%
3.1M → 3.7M
8.53%
3.3
$3.94B
United States
Industrials
533
+19.47%
1.2M → 1.4M
10.04%
4.8
$296.84M
United States
Technology
534
+19.42%
201K → 241K
1.01%
3.7
$1.57B
United States
Energy
535
+19.38%
13.6M → 16.3M
5.80%
3.1
$4.57B
United States
Healthcare
536
+19.31%
94K → 112K
1.93%of outstanding
1.6
$398.72M
United States
Financial Services
537
+19.28%
771K → 920K
4.99%
6.1
$1.04B
United States
Financial Services
538
+19.26%
101K → 121K
4.33%
1.9
$154.11M
United States
Consumer Cyclical
539
+19.26%
15.3M → 18.2M
6.16%
3.5
$14.49B
United States
Consumer Cyclical
540
+19.26%
750K → 894K
3.30%
3.8
$1.13B
United States
Financial Services
541
+19.18%
853K → 1.0M
9.62%
5.7
$1.41B
United States
Financial Services
542
+19.14%
7.8M → 9.3M
10.26%
4.3
$412.25M
United States
Healthcare
543
+19.11%
4.8M → 5.8M
1.47%
3.7
$19.65B
Argentina
Energy
544
+19.10%
6.0M → 7.1M
6.64%
4.1
$721.14M
United States
Healthcare
545
+19.09%
640K → 762K
1.50%
5.5
$1.31B
United States
Real Estate
546
+19.07%
8.9M → 10.6M
1.06%
2.8
$283.83B
United States
Consumer Cyclical
547
+19.05%
8.3M → 9.8M
20.06%
10.5
$1.80B
United States
Energy
548
+19.03%
1.8M → 2.2M
3.77%
6.7
$890.49M
United States
Financial Services
549
+18.95%
1.5M → 1.8M
15.34%
5.7
$352.30M
United States
Consumer Cyclical
550
+18.88%
522K → 621K
5.42%
5.5
$399.52M
United States
Real Estate
551
+18.87%
1.4M → 1.6M
9.66%
5.9
$9.76B
United States
Communication Services
552
+18.86%
1.1M → 1.3M
3.44%
4.0
$265.15M
Canada
Technology
553
+18.86%
314K → 373K
3.84%
4.0
$206.97M
United States
Basic Materials
554
+18.77%
3.3M → 3.9M
3.91%
4.5
$2.04B
United States
Financial Services
555
+18.76%
1.2M → 1.4M
6.40%
3.0
$1.83B
Brazil
Technology
556
+18.69%
5.3M → 6.3M
4.42%
5.0
$3.26B
United States
Financial Services
557
+18.68%
899K → 1.1M
1.95%
3.2
$59.84B
United States
Industrials
558
+18.65%
75.7M → 89.8M
26.94%
8.1
$1.60B
United States
Consumer Cyclical
559
+18.56%
2.3M → 2.8M
2.88%
4.8
$39.55M
United States
Healthcare
560
+18.55%
641K → 760K
1.07%
1.2
$684.81M
Israel
Technology
561
+18.51%
2.5M → 2.9M
4.80%
3.4
$1.89B
United States
Energy
562
+18.50%
976K → 1.2M
3.00%
8.7
$276.68M
United States
Real Estate
563
+18.48%
11.0M → 13.1M
8.27%
4.0
$10.35B
United States
Industrials
564
+18.46%
7.4M → 8.8M
0.07%
2.4
$133.74B
Japan
Financial Services
565
+18.40%
601K → 712K
3.19%
7.0
$181.88M
United States
Real Estate
566
+18.38%
254K → 301K
3.28%
7.7
$672.65M
United States
Consumer Defensive
567
+18.27%
1.1M → 1.3M
4.33%
6.6
$916.16M
United States
Financial Services
568
+18.27%
2.4M → 2.8M
2.07%
4.2
$1.06B
Canada
Basic Materials
569
+18.23%
885K → 1.0M
14.35%
2.4
$13.20M
United States
Healthcare
570
+18.19%
238K → 282K
0.75%
1.3
$46.23M
United States
Consumer Defensive
571
+18.18%
153K → 181K
1.53%
4.7
$223.99M
United States
Financial Services
572
+18.16%
326K → 385K
33.28%
2.9
$29.86M
United States
Financial Services
573
+18.11%
6.3M → 7.4M
11.44%
6.8
$678.32M
United States
Communication Services
574
+18.06%
394K → 466K
5.57%
3.9
$1.80B
United States
Financial Services
575
+18.04%
381K → 449K
5.90%
5.8
$73.34M
United States
Financial Services
576
+18.03%
39K → 46K
0.43%
2.6
$144.82M
China
Consumer Cyclical
577
+18.02%
76K → 89K
1.20%
2.6
$304.44M
United States
Financial Services
578
+18.02%
211K → 249K
5.22%
2.6
$1.21B
United States
Consumer Defensive
579
+17.98%
2.2M → 2.6M
8.11%
5.7
$5.21B
United States
Consumer Cyclical
580
+17.98%
1.5M → 1.8M
3.67%
2.9
$19.27B
United States
Industrials
581
+17.94%
149K → 176K
0.36%of outstanding
1.4
$1.59B
France
Healthcare
582
+17.90%
4.0M → 4.7M
6.49%
3.6
$194.34M
United States
Healthcare
583
+17.90%
4.1M → 4.8M
4.38%
6.3
$7.80B
United States
Financial Services
584
+17.88%
608K → 716K
0.06%
1 day or less
$30.50B
Hong Kong
Financial Services
585
+17.82%
1.8M → 2.1M
3.88%
6.1
$4.26B
United States
Financial Services
586
+17.82%
11.6M → 13.7M
4.75%
5.2
$3.82B
Canada
Utilities
587
+17.73%
5.1M → 6.0M
5.37%
3.0
$572.45M
United States
Energy
588
+17.71%
373K → 439K
5.48%
1.4
$16.30M
United States
Healthcare
589
+17.69%
988K → 1.2M
3.57%
3.6
$1.66B
United States
Financial Services
590
+17.69%
3.4M → 4.0M
7.79%
7.1
$5.48B
United States
Industrials
591
+17.67%
4.3M → 5.1M
16.38%
1.5
$3.25B
United States
Technology
592
+17.67%
7.2M → 8.4M
14.21%
8.5
$1.41B
United States
Consumer Cyclical
593
+17.63%
21.1M → 24.9M
15.25%
9.3
$11.17B
United States
Real Estate
594
+17.63%
2.8M → 3.3M
5.58%
3.4
$3.86B
United States
Technology
595
+17.60%
1.1M → 1.3M
4.65%
2.7
$819.34M
Bermuda
Industrials
596
+17.53%
637K → 749K
4.83%
3.9
$2.50B
United States
Industrials
597
+17.53%
168K → 198K
0.06%
1 day or less
$366.49M
China
Financial Services
598
+17.50%
1.2M → 1.4M
1.76%
7.1
$1.18B
Argentina
Real Estate
599
+17.49%
2.9M → 3.4M
3.76%
3.6
$8.56B
United States
Financial Services
600
+17.46%
605K → 711K
4.02%
8.2
$2.03B
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

CSAN leads this ranking, followed by TWLO and WBI. 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.