STOCK TITAN

Short Interest Decreases — Positions Being Covered

US-listed companies whose reported short position fell the most between the two most recent FINRA settlement files. A fall is consistent with covering and equally with a share base that changed underneath the count, so the marked rows matter as much as the ranking.
Settlement Sep 15, 2026
next publication (FINRA schedule) Oct 9, 2026
data 17 days old
Reporting period September 2026
Direction Falling short interest
Page 4 of 18

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.
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
301
-17.56%
633K → 521K
2.63%
1.8
$10.36M
United States
Healthcare
302
-17.53%
20.0M → 16.5M
7.52%
6.8
$3.86B
United States
Real Estate
303
-17.53%
1.8M → 1.5M
6.21%
3.7
$28.04M
United States
Financial Services
304
-17.51%
291K → 240K
2.83%
5.0
$39.74M
United States
Healthcare
305
-17.41%
2.2M → 1.8M
3.97%
1.2
$2.18B
Switzerland
Healthcare
306
-17.40%
5.0M → 4.2M
3.14%
3.1
$25.33B
United States
Industrials
307
-17.35%
66K → 55K
0.87%
1 day or less
$24.53M
United Kingdom
Healthcare
308
-17.35%
11.3M → 9.3M
8.02%
5.4
$2.10B
United States
Technology
309
-17.30%
154K → 127K
0.97%
1 day or less
$79.57M
Philippines
Industrials
310
-17.25%
161K → 133K
0.81%
2.3
$37.76M
China
Communication Services
311
-17.17%
2.9M → 2.4M
2.31%
3.2
$4.46B
China
Consumer Cyclical
312
-17.06%
2.2M → 1.9M
7.58%
2.1
$113.49M
Germany
Healthcare
313
-17.01%
1.4M → 1.1M
13.36%
12.1
$49.91M
China
Technology
314
-17.00%
17.0M → 14.1M
7.40%
5.4
$45.01B
United States
Technology
315
-16.95%
371K → 308K
1.92%
1 day or less
$375.51M
Greece
Industrials
316
-16.92%
89K → 74K
0.80%
1.1
$48.61M
United States
Healthcare
317
-16.87%
769K → 639K
3.16%
1.0
$28.38M
United States
Financial Services
318
-16.87%
801K → 666K
3.38%
6.7
$313.76M
United States
Energy
319
-16.82%
4.3M → 3.6M
7.35%
7.0
$826.79M
United States
Financial Services
320
-16.79%
9.8M → 8.2M
8.43%
2.3
$2.91B
United States
Technology
321
-16.78%
31.6M → 26.3M
0.60%
2.9
$165.14B
Denmark
Healthcare
322
-16.76%
2.5M → 2.1M
4.58%
2.0
$846.91M
United States
Technology
323
-16.74%
66K → 55K
0.58%
6.0
$28.16M
United States
Technology
324
-16.71%
16.6M → 13.8M
0.89%
3.5
$293.30B
United States
Consumer Defensive
325
-16.69%
49K → 40K
3.24%
4.2
$16.49M
Hong Kong
Consumer Cyclical
326
-16.67%
510K → 425K
2.31%
2.8
$115.33M
United States
Healthcare
327
-16.67%
55K → 46K
0.25%
1.9
$821.49M
United States
Energy
328
-16.58%
2.2M → 1.8M
2.47%
4.5
$3.74B
United States
Financial Services
329
-16.56%
3.1M → 2.6M
0.58%
8.1
$1.05B
China
Technology
330
-16.53%
7.7M → 6.4M
20.09%
9.8
$262.73M
United States
Technology
331
-16.51%
180K → 151K
1.83%
5.4
$125.68M
United States
Basic Materials
332
-16.51%
34.9M → 29.1M
7.45%
3.5
$19.19B
United States
Technology
333
-16.50%
2.0M → 1.6M
7.70%
2.6
$40.76M
United States
Healthcare
334
-16.47%
16.8M → 14.1M
5.93%
10.0
$5.44B
Canada
Technology
335
-16.35%
154K → 128K
2.04%
7.3
$179.58M
United States
Financial Services
336
-16.19%
9.5M → 8.0M
3.74%
4.6
$6.82B
United States
Basic Materials
337
-16.07%
24.0M → 20.1M
8.91%
2.8
$3.80B
United States
Basic Materials
338
-16.06%
108K → 91K
0.26%
1.4
$2.53B
Taiwan
Technology
339
-16.04%
39.2M → 32.9M
8.89%
2.5
$75.43B
United States
Healthcare
340
-16.01%
67K → 56K
0.25%of outstanding
1 day or less
$133.79M
United States
Financial Services
341
-16.01%
64K → 54K
0.29%
1 day or less
$80.21M
United States
Technology
342
-15.87%
6.1M → 5.1M
9.06%
10.1
$107.73M
United States
Healthcare
343
-15.83%
11.1M → 9.3M
12.09%
6.4
$396.73M
United States
Healthcare
344
-15.77%
895K → 754K
0.82%
1 day or less
$38.31M
United States
Real Estate
345
-15.76%
3.8M → 3.2M
1.19%
7.0
$12.42B
United States
Financial Services
346
-15.75%
22.0M → 18.5M
5.48%
6.4
$71.17B
United States
Financial Services
347
-15.72%
688K → 580K
7.08%
1.3
$530.65M
China
Consumer Cyclical
348
-15.70%
10.7M → 9.0M
3.36%
3.5
$29.14B
China
Communication Services
349
-15.69%
1.1M → 907K
0.24%of outstanding
1.1
$3.52B
United States
Financial Services
350
-15.68%
132K → 111K
0.77%
1.3
$647.55M
Mexico
Consumer Cyclical
351
-15.68%
1.1M → 969K
0.83%
2.9
$1.05B
Argentina
Basic Materials
352
-15.65%
1.6M → 1.3M
0.70%of outstanding
3.2
$7.32B
—
—
353
-15.64%
134K → 113K
0.59%
2.5
$706.84M
Australia
Basic Materials
354
-15.64%
647K → 546K
3.70%
5.5
$289.21M
United States
Financial Services
355
-15.58%
1.0M → 857K
1.74%
5.1
$1.42B
Brazil
Financial Services
356
-15.50%
608K → 513K
1.96%
2.0
$431.48M
United States
Basic Materials
357
-15.48%
357K → 301K
3.38%
5.7
$29.43M
United States
Healthcare
358
-15.34%
67K → 56K
0.27%of outstanding
1.3
$364.39M
United States
Financial Services
359
-15.34%
114K → 97K
0.63%
1 day or less
$14.30M
China
Communication Services
360
-15.33%
6.4M → 5.4M
3.39%
3.4
$12.59B
United States
Industrials
361
-15.31%
13.1M → 11.1M
8.12%
22.8
$69.44M
United States
Technology
362
-15.28%
8.6M → 7.3M
2.89%
2.2
$60.32B
Netherlands
Technology
363
-15.22%
21.7M → 18.4M
1.68%
2.3
$146.95B
United States
Consumer Cyclical
364
-15.21%
37K → 31K
0.40%
7.7
$1.31B
Greece
Industrials
365
-15.20%
1.1M → 936K
3.49%
3.5
$403.73M
United States
Real Estate
366
-15.18%
562K → 477K
2.81%
6.9
$36.85M
Canada
Consumer Cyclical
367
-15.05%
906K → 770K
5.97%
2.2
$108.21M
Australia
Healthcare
368
-15.04%
5.9M → 5.0M
6.51%
8.7
$2.37B
United States
Real Estate
369
-15.02%
202K → 172K
1.21%
1 day or less
$93.65M
United States
Healthcare
370
-14.97%
1.2M → 1.0M
11.88%
14.0
$100.60M
United States
Consumer Cyclical
371
-14.94%
1.2M → 1.0M
4.43%
1.5
$18.53M
United States
Industrials
372
-14.89%
281K → 240K
23.63%
4.0
$258.61M
United States
Consumer Cyclical
373
-14.81%
331K → 282K
3.50%
1 day or less
$73.54M
United Arab Emirates
Industrials
374
-14.78%
151K → 128K
3.48%
5.6
$82.34M
United States
Consumer Cyclical
375
-14.75%
23.6M → 20.1M
2.18%
3.9
$8.54B
China
Technology
376
-14.73%
5.4M → 4.6M
5.50%
5.0
$4.91B
United States
Financial Services
377
-14.71%
31.1M → 26.5M
12.78%
1.9
$485.65M
United States
Consumer Cyclical
378
-14.69%
1.5M → 1.3M
6.70%
13.1
$15.13M
United States
Technology
379
-14.65%
8.7M → 7.4M
0.12%
4.8
$159.74B
Japan
Financial Services
380
-14.63%
63K → 54K
0.67%of outstanding
1.9
$340.38M
United States
Utilities
381
-14.59%
3.0M → 2.6M
2.30%
2.8
$4.26B
United States
Consumer Cyclical
382
-14.56%
1.6M → 1.4M
2.35%
3.3
$704.53M
France
Healthcare
383
-14.50%
938K → 802K
2.48%
2.6
$131.92M
United States
Industrials
384
-14.47%
6.6M → 5.7M
15.24%
6.5
$290.46M
United States
Industrials
385
-14.43%
204K → 174K
3.51%
6.8
$296.60M
Gibraltar
Consumer Defensive
386
-14.43%
383K → 328K
2.40%
7.0
$250.33M
United States
Real Estate
387
-14.37%
452K → 387K
0.89%of outstanding
5.3
$1.05B
United States
Financial Services
388
-14.31%
31K → 27K
0.48%
1 day or less
$72.66M
United States
Industrials
389
-14.28%
19.9M → 17.0M
24.02%
6.2
$2.23B
United States
Healthcare
390
-14.27%
1.0M → 864K
7.05%
4.6
$15.44M
United States
Healthcare
391
-14.24%
6.3M → 5.4M
4.93%
3.9
$137.88M
Switzerland
Healthcare
392
-14.23%
4.5M → 3.8M
13.26%
12.4
$3.72B
United States
Technology
393
-14.21%
7.5M → 6.4M
12.84%
5.6
$5.90B
United States
Technology
394
-14.20%
245K → 210K
8.61%
4.1
$12.12M
United States
Healthcare
395
-14.17%
23.2M → 19.9M
0.71%
2.8
$272.52B
United Kingdom
Energy
396
-14.16%
153.4M → 131.7M
3.55%
2.0
$64.20B
Brazil
Financial Services
397
-14.16%
28.6M → 24.6M
19.81%
1.1
$2.38B
United States
Financial Services
398
-14.12%
5.5M → 4.7M
3.69%
2.5
$807.26M
United States
Real Estate
399
-14.12%
2.6M → 2.2M
6.87%
1 day or less
$10.66M
United States
Industrials
400
-14.05%
4.5M → 3.8M
10.86%
4.0
$9.87B
United States
Financial Services
Looking for a specific Symbol?
* 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 decrease this period?
A

MGRX leads this ranking, followed by APLE and BLNE. 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 What does a large drop in short interest actually tell you?
A

Less than it appears. A fall in the reported position is consistent with shorts buying back, which is the reading most people reach for, but it is equally consistent with a share count that changed underneath the figure: a reverse split rebases the position without anyone trading, and a symbol leaving the settlement file entirely can read as a collapse to zero. Even genuine covering says nothing about why, since a short may be closing at a profit, at a loss, or simply rebalancing. Check the raw share counts beside the percentage and whether a corporate action landed between the two settlement dates before treating a decrease as a signal.

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.