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 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
+23.93%
5.2M → 6.5M
—
—
$2.58B
United States
Consumer Cyclical
402
+23.93%
6.1M → 7.6M
—
—
$4.70B
United States
Industrials
403
+23.90%
7.1M → 8.8M
—
—
$353.39M
United States
Consumer Cyclical
404
+23.89%
20.1M → 24.9M
—
—
$1.32B
United States
Industrials
405
+23.81%
1.0M → 1.3M
—
—
$2.73B
United States
Energy
406
+23.81%
66K → 82K
—
—
$83.46M
United States
Financial Services
407
+23.74%
33.9M → 42.0M
—
—
$869.44M
United Kingdom
Technology
408
+23.70%
1.2M → 1.5M
—
—
$2.88B
Canada
Energy
409
+23.69%
3.9M → 4.8M
—
—
$2.07B
United States
Utilities
410
+23.68%
3.5M → 4.4M
—
—
$6.49B
United States
Industrials
411
+23.65%
823K → 1.0M
—
—
$773.09M
United States
Financial Services
412
+23.60%
599K → 740K
—
—
$130.61M
United States
Consumer Cyclical
413
+23.57%
517K → 639K
—
—
$47.06M
United States
Technology
414
+23.52%
7.7M → 9.5M
—
—
$2.77B
United States
Industrials
415
+23.48%
1.5M → 1.8M
—
—
$46.66M
United States
Industrials
416
+23.44%
786K → 971K
—
—
$122.12M
United States
Financial Services
417
+23.42%
9.1M → 11.2M
—
—
$8.93B
United States
Consumer Cyclical
418
+23.30%
2.0M → 2.5M
—
—
$1.27B
United States
Financial Services
419
+23.27%
10.5M → 12.9M
—
—
$7.83B
United States
Utilities
420
+23.23%
982K → 1.2M
—
—
$19.84B
United States
Technology
421
+23.20%
846K → 1.0M
—
—
$21.23B
Chile
Financial Services
422
+23.14%
910K → 1.1M
—
—
$435.78M
United States
Financial Services
423
+23.06%
39K → 48K
—
—
$160.50M
Mexico
Financial Services
424
+23.01%
58K → 71K
—
—
$487.60M
Taiwan
Technology
425
+23.00%
6.1M → 7.5M
—
—
$52.29B
United States
Financial Services
426
+22.85%
2.2M → 2.8M
—
—
$138.10M
United States
Healthcare
427
+22.83%
10.2M → 12.5M
—
—
$1.29B
United States
Energy
428
+22.81%
48.1M → 59.1M
—
—
$10.70B
United States
Communication Services
429
+22.80%
299K → 367K
—
—
$4.17B
Argentina
Industrials
430
+22.78%
4.6M → 5.6M
—
—
$7.50B
United States
Consumer Defensive
431
+22.74%
1.4M → 1.7M
—
—
$598.22M
United States
Industrials
432
+22.73%
6.5M → 7.9M
—
—
$33.16B
United States
Real Estate
433
+22.59%
918K → 1.1M
—
—
$842.01M
United States
Consumer Cyclical
434
+22.57%
84.5M → 103.6M
—
—
$16.32B
India
Technology
435
+22.52%
615K → 754K
—
—
$2.30B
United States
Industrials
436
+22.48%
564K → 691K
—
—
$40.76B
Japan
Financial Services
437
+22.41%
350K → 428K
—
—
$43.24M
Indonesia
Energy
438
+22.38%
84K → 103K
—
—
$145.02M
United States
Industrials
439
+22.32%
9.5M → 11.6M
—
—
$1.26B
United States
Real Estate
440
+22.31%
528K → 646K
—
—
$1.08B
United States
Financial Services
441
+22.30%
122K → 149K
—
—
$279.09M
United States
Financial Services
442
+22.27%
927K → 1.1M
—
—
$194.32M
United States
Real Estate
443
+22.27%
1.0M → 1.2M
—
—
$11.39M
United States
Healthcare
444
+22.25%
11.2M → 13.7M
—
—
$11.11B
United States
Financial Services
445
+22.24%
1.4M → 1.8M
—
—
$27.52B
Bermuda
Utilities
446
+22.21%
5.6M → 6.8M
—
—
$609.20M
United States
Healthcare
447
+22.19%
101K → 123K
—
—
$141.02M
United States
Real Estate
448
+22.19%
4.8M → 5.9M
—
—
$1.37B
United States
Industrials
449
+22.18%
5.1M → 6.2M
—
—
$2.83B
United States
Energy
450
+22.14%
3.5M → 4.3M
—
—
$682.71M
United States
Consumer Cyclical
451
+22.08%
892K → 1.1M
—
—
$24.96B
—
—
452
+22.05%
2.7M → 3.2M
—
—
$2.10B
Israel
Financial Services
453
+21.96%
6.4M → 7.9M
—
—
$3.06B
United States
Financial Services
454
+21.96%
3.7M → 4.5M
—
—
$4.72B
United States
Basic Materials
455
+21.85%
706K → 860K
—
—
$1.01B
United States
Financial Services
456
+21.82%
121K → 147K
—
—
$453.10M
United States
Consumer Cyclical
457
+21.81%
3.8M → 4.7M
—
—
$2.32B
United States
Financial Services
458
+21.81%
1.1M → 1.3M
—
—
$3.05B
United States
Industrials
459
+21.79%
1.8M → 2.1M
—
—
$124.09M
United States
Real Estate
460
+21.78%
2.9M → 3.6M
—
—
$21.59B
United States
Industrials
461
+21.77%
2.1M → 2.6M
—
—
$4.55B
Canada
Basic Materials
462
+21.77%
396K → 482K
—
—
$1.65B
United States
Financial Services
463
+21.62%
513K → 624K
—
—
$702.54M
United States
Real Estate
464
+21.55%
9.6M → 11.6M
—
—
$13.25B
United States
Financial Services
465
+21.52%
2.2M → 2.7M
—
—
$77.30M
United States
Healthcare
466
+21.50%
21.3M → 25.9M
—
—
$175.71B
United States
Consumer Defensive
467
+21.49%
227K → 275K
—
—
$664.99M
United States
Financial Services
468
+21.44%
1.1M → 1.3M
—
—
$5.11B
United States
Industrials
469
+21.40%
738K → 896K
—
—
$12.25B
United States
Industrials
470
+21.35%
132K → 160K
—
—
$228.43M
United States
Healthcare
471
+21.34%
75.5M → 91.6M
—
—
$9.18B
United States
Industrials
472
+21.31%
5.6M → 6.8M
—
—
$102.54B
United States
Energy
473
+21.18%
23.9M → 29.0M
—
—
$10.20B
India
Healthcare
474
+21.16%
19.8M → 23.9M
—
—
$2.86B
United States
Financial Services
475
+21.11%
11.4M → 13.8M
—
—
$7.16B
United States
Financial Services
476
+21.08%
2.3M → 2.8M
—
—
$3.02B
United States
Financial Services
477
+20.96%
8.7M → 10.5M
—
—
$38.78B
United States
Financial Services
478
+20.95%
6.4M → 7.8M
—
—
$27.31B
United States
Technology
479
+20.94%
5.2M → 6.3M
—
—
$31.71B
United States
Consumer Cyclical
480
+20.93%
108K → 131K
—
—
$16.87B
United States
Consumer Cyclical
481
+20.92%
1.8M → 2.2M
—
—
$619.08M
United States
Real Estate
482
+20.90%
877K → 1.1M
—
—
$1.42B
United States
Healthcare
483
+20.89%
1.6M → 2.0M
—
—
$25.97B
United States
Technology
484
+20.88%
4.9M → 5.9M
—
—
$824.59M
United States
Communication Services
485
+20.86%
83K → 100K
—
—
$25.74M
United States
Technology
486
+20.82%
110K → 133K
—
—
$416.12M
United States
Consumer Cyclical
487
+20.81%
61K → 74K
—
—
$42.34M
United States
Healthcare
488
+20.73%
1.5M → 1.9M
—
—
$2.37B
United States
Industrials
489
+20.70%
1.9M → 2.3M
—
—
$1.27B
United States
Basic Materials
490
+20.69%
5.0M → 6.0M
—
—
$55.91M
United States
Healthcare
491
+20.60%
7.9M → 9.6M
—
—
$1.80B
United States
Industrials
492
+20.58%
7.1M → 8.5M
—
—
$412.51M
Canada
Technology
493
+20.57%
111K → 134K
—
—
$1.15B
United States
Financial Services
494
+20.57%
1.4M → 1.7M
—
—
$761.61M
United States
Financial Services
495
+20.55%
2.4M → 2.9M
—
—
$5.73B
Bermuda
Financial Services
496
+20.55%
607K → 732K
—
—
$311.06M
United States
Financial Services
497
+20.53%
246K → 297K
—
—
$440.84M
United States
Communication Services
498
+20.49%
17.5M → 21.1M
—
—
$9.75B
United States
Financial Services
499
+20.49%
9.2M → 11.0M
—
—
$8.57B
United States
Real Estate
500
+20.46%
7.6M → 9.2M
—
—
$4.85B
United States
Consumer Cyclical
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

CALY leads this ranking, followed by FBIN and SHOE. 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.