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 15 days old
Reporting period September 2026
Direction Rising short interest
Page 5 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
401
+23.89%
20.1M → 24.9M
32.72%
3.2
$1.35B
United States
Industrials
402
+23.81%
1.0M → 1.3M
7.39%
5.2
$2.69B
United States
Energy
403
+23.81%
66K → 82K
0.80%
9.1
$85.62M
United States
Financial Services
404
+23.74%
33.9M → 42.0M
16.76%
2.1
$845.51M
United Kingdom
Technology
405
+23.70%
1.2M → 1.5M
1.23%
2.4
$2.77B
Canada
Energy
406
+23.69%
3.9M → 4.8M
4.82%
3.4
$2.05B
United States
Utilities
407
+23.68%
3.5M → 4.4M
5.86%
5.8
$6.38B
United States
Industrials
408
+23.65%
823K → 1.0M
0.55%of outstanding
1 day or less
$771.22M
United States
Financial Services
409
+23.60%
599K → 740K
3.31%
1 day or less
$146.51M
United States
Consumer Cyclical
410
+23.57%
517K → 639K
10.12%
4.5
$45.38M
United States
Technology
411
+23.52%
7.7M → 9.5M
7.10%
4.5
$2.75B
United States
Industrials
412
+23.48%
1.5M → 1.8M
3.92%
3.0
$37.68M
United States
Industrials
413
+23.44%
786K → 971K
1.56%
1.8
$124.42M
United States
Financial Services
414
+23.42%
9.1M → 11.2M
6.42%
4.8
$8.96B
United States
Consumer Cyclical
415
+23.30%
2.0M → 2.5M
5.07%
5.7
$1.25B
United States
Financial Services
416
+23.27%
10.5M → 12.9M
6.04%
7.2
$7.75B
United States
Utilities
417
+23.23%
982K → 1.2M
4.52%
3.1
$19.51B
United States
Technology
418
+23.20%
846K → 1.0M
0.21%
3.4
$20.33B
Chile
Financial Services
419
+23.14%
910K → 1.1M
6.17%
2.4
$442.46M
United States
Financial Services
420
+23.06%
39K → 48K
0.36%
4.6
$160.50M
Mexico
Financial Services
421
+23.01%
58K → 71K
0.42%
1.8
$484.95M
Taiwan
Technology
422
+23.00%
6.1M → 7.5M
1.71%
2.6
$51.34B
United States
Financial Services
423
+22.85%
2.2M → 2.8M
15.91%
1.5
$128.23M
United States
Healthcare
424
+22.83%
10.2M → 12.5M
13.28%
7.7
$1.25B
United States
Energy
425
+22.81%
48.1M → 59.1M
12.16%
4.3
$10.50B
United States
Communication Services
426
+22.80%
299K → 367K
0.68%
1.7
$4.12B
Argentina
Industrials
427
+22.78%
4.6M → 5.6M
12.16%
2.8
$7.49B
United States
Consumer Defensive
428
+22.74%
1.4M → 1.7M
16.05%
1 day or less
$583.30M
United States
Industrials
429
+22.73%
6.5M → 7.9M
2.69%
4.7
$33.19B
United States
Real Estate
430
+22.59%
918K → 1.1M
5.32%
5.1
$837.76M
United States
Consumer Cyclical
431
+22.57%
84.5M → 103.6M
1.05%
10.8
$15.93B
India
Technology
432
+22.52%
615K → 754K
3.19%
4.8
$2.28B
United States
Industrials
433
+22.48%
564K → 691K
0.06%
2.2
$39.76B
Japan
Financial Services
434
+22.41%
350K → 428K
4.32%
1.1
$40.78M
Indonesia
Energy
435
+22.38%
84K → 103K
1.86%
8.0
$142.32M
United States
Industrials
436
+22.32%
9.5M → 11.6M
6.77%
2.9
$1.23B
United States
Real Estate
437
+22.31%
528K → 646K
—
—
$1.06B
United States
Financial Services
438
+22.30%
122K → 149K
2.46%
9.6
$280.12M
United States
Financial Services
439
+22.27%
927K → 1.1M
3.70%
3.9
$189.87M
United States
Real Estate
440
+22.27%
1.0M → 1.2M
4.11%
1.2
$10.95M
United States
Healthcare
441
+22.25%
11.2M → 13.7M
2.93%
2.9
$10.94B
United States
Financial Services
442
+22.24%
1.4M → 1.8M
0.39%
2.0
$28.10B
Bermuda
Utilities
443
+22.21%
5.6M → 6.8M
7.91%
8.4
$656.38M
United States
Healthcare
444
+22.19%
101K → 123K
0.92%
2.0
$136.77M
United States
Real Estate
445
+22.19%
4.8M → 5.9M
3.05%
2.6
$1.38B
United States
Industrials
446
+22.18%
5.1M → 6.2M
5.23%
4.5
$2.76B
United States
Energy
447
+22.14%
3.5M → 4.3M
11.82%
8.8
$673.17M
United States
Consumer Cyclical
448
+22.08%
892K → 1.1M
0.75%of outstanding
3.9
$24.96B
—
—
449
+22.05%
2.7M → 3.2M
5.77%
3.5
$2.04B
Israel
Financial Services
450
+21.96%
6.4M → 7.9M
13.87%
8.3
$2.99B
United States
Financial Services
451
+21.96%
3.7M → 4.5M
6.40%
3.5
$4.68B
United States
Basic Materials
452
+21.85%
706K → 860K
2.99%
6.0
$991.11M
United States
Financial Services
453
+21.82%
121K → 147K
2.38%
6.1
$462.94M
United States
Consumer Cyclical
454
+21.81%
3.8M → 4.7M
6.42%
3.8
$2.24B
United States
Financial Services
455
+21.81%
1.1M → 1.3M
4.22%
3.5
$2.93B
United States
Industrials
456
+21.79%
1.8M → 2.1M
3.72%
4.5
$121.89M
United States
Real Estate
457
+21.78%
2.9M → 3.6M
5.11%of outstanding
5.2
$21.22B
United States
Industrials
458
+21.77%
2.1M → 2.6M
3.65%
2.7
$4.60B
Canada
Basic Materials
459
+21.77%
396K → 482K
3.04%
4.9
$1.62B
United States
Financial Services
460
+21.62%
513K → 624K
0.86%of outstanding
4.8
$698.10M
United States
Real Estate
461
+21.55%
9.6M → 11.6M
6.09%
4.9
$12.32B
United States
Financial Services
462
+21.52%
2.2M → 2.7M
1.78%
1.5
$82.77M
United States
Healthcare
463
+21.50%
21.3M → 25.9M
1.90%
3.2
$175.79B
United States
Consumer Defensive
464
+21.49%
227K → 275K
5.32%
4.5
$657.49M
United States
Financial Services
465
+21.44%
1.1M → 1.3M
9.65%
2.8
$5.31B
United States
Industrials
466
+21.40%
738K → 896K
2.46%
3.5
$12.35B
United States
Industrials
467
+21.35%
132K → 160K
1.15%
1.4
$223.50M
United States
Healthcare
468
+21.34%
75.5M → 91.6M
14.05%
1.4
$9.01B
United States
Industrials
469
+21.31%
5.6M → 6.8M
1.71%
2.5
$101.14B
United States
Energy
470
+21.18%
23.9M → 29.0M
3.48%
9.0
$10.70B
India
Healthcare
471
+21.16%
19.8M → 23.9M
28.30%
2.4
$2.86B
United States
Financial Services
472
+21.11%
11.4M → 13.8M
6.48%
3.3
$6.57B
United States
Financial Services
473
+21.08%
2.3M → 2.8M
0.91%of outstanding
1.9
$2.95B
United States
Financial Services
474
+20.96%
8.7M → 10.5M
2.03%
2.2
$39.36B
United States
Financial Services
475
+20.95%
6.4M → 7.8M
4.93%
2.1
$26.68B
United States
Technology
476
+20.94%
5.2M → 6.3M
5.53%
3.1
$31.97B
United States
Consumer Cyclical
477
+20.93%
108K → 131K
5.19%
3.4
$16.70B
United States
Consumer Cyclical
478
+20.92%
1.8M → 2.2M
2.21%
2.9
$637.41M
United States
Real Estate
479
+20.90%
877K → 1.1M
3.20%
4.5
$1.41B
United States
Healthcare
480
+20.89%
1.6M → 2.0M
2.42%
3.0
$25.30B
United States
Technology
481
+20.88%
4.9M → 5.9M
10.82%
7.7
$826.31M
United States
Communication Services
482
+20.86%
83K → 100K
0.83%
2.4
$25.08M
United States
Technology
483
+20.82%
110K → 133K
4.62%
6.6
$416.12M
United States
Consumer Cyclical
484
+20.81%
61K → 74K
4.72%
1 day or less
$42.21M
United States
Healthcare
485
+20.73%
1.5M → 1.9M
5.99%
3.0
$2.28B
United States
Industrials
486
+20.70%
1.9M → 2.3M
5.83%
4.4
$1.22B
United States
Basic Materials
487
+20.69%
5.0M → 6.0M
16.00%
3.2
$55.48M
United States
Healthcare
488
+20.60%
7.9M → 9.6M
8.68%
6.3
$1.78B
United States
Industrials
489
+20.58%
7.1M → 8.5M
4.01%
6.6
$383.98M
Canada
Technology
490
+20.57%
111K → 134K
0.12%of outstanding
1 day or less
$1.15B
United States
Financial Services
491
+20.57%
1.4M → 1.7M
4.84%
4.7
$776.72M
United States
Financial Services
492
+20.55%
2.4M → 2.9M
3.40%
4.5
$5.68B
Bermuda
Financial Services
493
+20.55%
607K → 732K
6.65%
4.3
$311.32M
United States
Financial Services
494
+20.53%
246K → 297K
2.94%
3.9
$430.06M
United States
Communication Services
495
+20.49%
17.5M → 21.1M
5.55%
6.2
$9.50B
United States
Financial Services
496
+20.49%
9.2M → 11.0M
4.96%
4.3
$8.55B
United States
Real Estate
497
+20.46%
7.6M → 9.2M
8.87%of outstanding
3.5
$4.80B
United States
Consumer Cyclical
498
+20.39%
1.5M → 1.8M
14.07%
5.0
$121.57M
United States
Healthcare
499
+20.38%
10.3M → 12.4M
2.81%
3.5
$146.83B
United States
Financial Services
500
+20.36%
3.6M → 4.4M
0.44%
1.4
$2.71B
Brazil
Energy
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

FCEL leads this ranking, followed by GPOR and MGLD. 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.