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 14 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
+20.38%
10.3M → 12.4M
2.81%
3.5
$148.37B
United States
Financial Services
502
+20.36%
3.6M → 4.4M
0.44%
1.4
$2.71B
Brazil
Energy
503
+20.36%
4.5M → 5.4M
3.52%
3.5
$44.07B
United States
Technology
504
+20.36%
4.4M → 5.3M
17.51%
10.5
$3.57B
United States
Energy
505
+20.29%
179K → 216K
5.16%
5.2
$282.35M
United States
Financial Services
506
+20.27%
427K → 513K
5.59%
5.2
$322.68M
United States
Consumer Defensive
507
+20.26%
3.4M → 4.1M
10.53%
8.8
$4.29B
United States
Technology
508
+20.14%
13.1M → 15.7M
6.73%
3.7
$3.55B
United States
Real Estate
509
+20.09%
13.7M → 16.4M
7.05%
9.2
$2.78B
United States
Real Estate
510
+20.08%
1.1M → 1.3M
5.41%
4.4
$717.59M
United States
Healthcare
511
+20.08%
29.6M → 35.6M
30.94%
7.9
$978.60M
United States
Consumer Cyclical
512
+20.05%
14.6M → 17.5M
3.62%
11.3
$31.55B
Switzerland
Healthcare
513
+20.03%
1.4M → 1.7M
1.80%
4.5
$41.52B
Switzerland
Healthcare
514
+20.02%
5.4M → 6.4M
1.15%
2.0
$85.84B
United States
Financial Services
515
+19.98%
4.3M → 5.1M
7.38%
2.0
$765.07M
United States
Technology
516
+19.93%
654K → 784K
2.28%
2.5
$350.04M
United States
Financial Services
517
+19.91%
555K → 665K
3.47%
6.1
$779.39M
United States
Financial Services
518
+19.91%
1.6M → 1.9M
4.37%
3.3
$4.82B
United States
Industrials
519
+19.82%
36.1M → 43.2M
2.06%
3.8
$9.38B
Brazil
Basic Materials
520
+19.81%
9.8M → 11.8M
9.06%
5.2
$5.16B
United States
Healthcare
521
+19.81%
6.4M → 7.7M
4.00%
5.4
$7.28B
United States
Real Estate
522
+19.77%
1.2M → 1.4M
0.14%
1.4
$75.64B
United Kingdom
Utilities
523
+19.74%
4.7M → 5.6M
9.82%
5.6
$2.09B
United States
Technology
524
+19.74%
21.6M → 25.9M
4.70%
6.3
$820.70M
Canada
Basic Materials
525
+19.74%
1.6M → 2.0M
6.02%
2.4
$9.43B
Hong Kong
Technology
526
+19.74%
15.2M → 18.2M
16.76%
3.0
$3.80B
United States
Technology
527
+19.67%
869K → 1.0M
4.21%
3.8
$9.52B
United States
Financial Services
528
+19.63%
546K → 653K
0.83%
2.2
$188.95M
Israel
Technology
529
+19.60%
2.9M → 3.4M
7.63%
5.7
$4.81B
United States
Healthcare
530
+19.56%
4.5M → 5.4M
10.87%
5.7
$5.03B
United States
Consumer Cyclical
531
+19.56%
906K → 1.1M
5.31%
16.4
$11.12B
United States
Financial Services
532
+19.56%
1.7M → 2.1M
4.82%
13.7
$606.23M
Canada
Energy
533
+19.49%
3.1M → 3.7M
8.53%
3.3
$3.97B
United States
Industrials
534
+19.47%
1.2M → 1.4M
10.04%
4.8
$276.17M
United States
Technology
535
+19.42%
201K → 241K
1.01%
3.7
$1.60B
United States
Energy
536
+19.38%
13.6M → 16.3M
5.81%
3.1
$4.50B
United States
Healthcare
537
+19.31%
94K → 112K
1.93%of outstanding
1.6
$394.18M
United States
Financial Services
538
+19.28%
771K → 920K
4.99%
6.1
$1.06B
United States
Financial Services
539
+19.26%
101K → 121K
4.33%
1.9
$155.12M
United States
Consumer Cyclical
540
+19.26%
15.3M → 18.2M
6.16%
3.5
$14.72B
United States
Consumer Cyclical
541
+19.26%
750K → 894K
3.30%
3.8
$1.15B
United States
Financial Services
542
+19.18%
853K → 1.0M
9.62%
5.7
$1.45B
United States
Financial Services
543
+19.14%
7.8M → 9.3M
10.26%
4.3
$405.55M
United States
Healthcare
544
+19.11%
4.8M → 5.8M
1.47%
3.7
$20.14B
Argentina
Energy
545
+19.10%
6.0M → 7.1M
6.64%
4.1
$689.15M
United States
Healthcare
546
+19.09%
640K → 762K
1.50%
5.5
$1.34B
United States
Real Estate
547
+19.07%
8.9M → 10.6M
1.06%
2.8
$289.22B
United States
Consumer Cyclical
548
+19.05%
8.3M → 9.8M
20.06%
10.5
$1.80B
United States
Energy
549
+19.03%
1.8M → 2.2M
3.77%
6.7
$904.12M
United States
Financial Services
550
+18.95%
1.5M → 1.8M
15.34%
5.7
$365.22M
United States
Consumer Cyclical
551
+18.88%
522K → 621K
5.42%
5.5
$404.89M
United States
Real Estate
552
+18.87%
1.4M → 1.6M
9.66%
5.9
$10.03B
United States
Communication Services
553
+18.86%
1.1M → 1.3M
3.44%
4.0
$262.60M
Canada
Technology
554
+18.86%
314K → 373K
3.84%
4.0
$204.33M
United States
Basic Materials
555
+18.77%
3.3M → 3.9M
3.91%
4.5
$2.08B
United States
Financial Services
556
+18.76%
1.2M → 1.4M
6.40%
3.0
$1.80B
Brazil
Technology
557
+18.69%
5.3M → 6.3M
4.42%
5.0
$3.30B
United States
Financial Services
558
+18.68%
899K → 1.1M
1.95%
3.2
$61.31B
United States
Industrials
559
+18.65%
75.7M → 89.8M
26.94%
8.1
$1.54B
United States
Consumer Cyclical
560
+18.56%
2.3M → 2.8M
2.88%
4.8
$36.11M
United States
Healthcare
561
+18.55%
641K → 760K
1.07%
1.2
$669.81M
Israel
Technology
562
+18.51%
2.5M → 2.9M
4.80%
3.4
$2.02B
United States
Energy
563
+18.50%
976K → 1.2M
3.00%
8.7
$277.74M
United States
Real Estate
564
+18.48%
11.0M → 13.1M
8.27%
4.0
$10.34B
United States
Industrials
565
+18.46%
7.4M → 8.8M
0.07%
2.4
$133.74B
Japan
Financial Services
566
+18.40%
601K → 712K
3.18%
7.0
$183.62M
United States
Real Estate
567
+18.38%
254K → 301K
3.28%
7.7
$682.87M
United States
Consumer Defensive
568
+18.27%
1.1M → 1.3M
4.33%
6.6
$936.92M
United States
Financial Services
569
+18.27%
2.4M → 2.8M
2.07%
4.2
$1.04B
Canada
Basic Materials
570
+18.23%
885K → 1.0M
14.35%
2.4
$13.14M
United States
Healthcare
571
+18.19%
238K → 282K
0.75%
1.3
$54.56M
United States
Consumer Defensive
572
+18.18%
153K → 181K
1.53%
4.7
$227.13M
United States
Financial Services
573
+18.16%
326K → 385K
33.28%
2.9
$29.67M
United States
Financial Services
574
+18.11%
6.3M → 7.4M
11.44%
6.8
$671.86M
United States
Communication Services
575
+18.06%
394K → 466K
5.57%
3.9
$1.83B
United States
Financial Services
576
+18.04%
381K → 449K
5.90%
5.8
$71.67M
United States
Financial Services
577
+18.03%
39K → 46K
0.43%
2.6
$148.14M
China
Consumer Cyclical
578
+18.02%
76K → 89K
1.20%
2.6
$304.23M
United States
Financial Services
579
+18.02%
211K → 249K
5.22%
2.6
$1.24B
United States
Consumer Defensive
580
+17.98%
2.2M → 2.6M
8.11%
5.7
$5.33B
United States
Consumer Cyclical
581
+17.98%
1.5M → 1.8M
3.67%
2.9
$19.09B
United States
Industrials
582
+17.94%
149K → 176K
0.36%of outstanding
1.4
$1.66B
France
Healthcare
583
+17.90%
4.0M → 4.7M
6.49%
3.6
$241.88M
United States
Healthcare
584
+17.90%
4.1M → 4.8M
4.38%
6.3
$7.95B
United States
Financial Services
585
+17.88%
608K → 716K
0.06%
1 day or less
$31.06B
Hong Kong
Financial Services
586
+17.82%
1.8M → 2.1M
3.88%
6.1
$4.32B
United States
Financial Services
587
+17.82%
11.6M → 13.7M
4.75%
5.2
$3.74B
Canada
Utilities
588
+17.73%
5.1M → 6.0M
5.37%
3.0
$568.49M
United States
Energy
589
+17.71%
373K → 439K
5.48%
1.4
$16.34M
United States
Healthcare
590
+17.69%
988K → 1.2M
3.57%
3.6
$1.68B
United States
Financial Services
591
+17.69%
3.4M → 4.0M
7.79%
7.1
$5.77B
United States
Industrials
592
+17.67%
4.3M → 5.1M
16.38%
1.5
$3.22B
United States
Technology
593
+17.67%
7.2M → 8.4M
14.21%
8.5
$1.43B
United States
Consumer Cyclical
594
+17.63%
21.1M → 24.9M
15.25%
9.3
$11.31B
United States
Real Estate
595
+17.63%
2.8M → 3.3M
5.58%
3.4
$3.77B
United States
Technology
596
+17.60%
1.1M → 1.3M
4.65%
2.7
$817.46M
Bermuda
Industrials
597
+17.53%
637K → 749K
4.83%
3.9
$2.51B
United States
Industrials
598
+17.53%
168K → 198K
0.06%
1 day or less
$370.08M
China
Financial Services
599
+17.50%
1.2M → 1.4M
1.76%
7.1
$1.20B
Argentina
Real Estate
600
+17.49%
2.9M → 3.4M
3.76%
3.6
$8.70B
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

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