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 4 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
301
+30.49%
1.2M → 1.5M
—
—
$3.82B
United States
Financial Services
302
+30.46%
113K → 148K
—
—
$65.97M
United States
Technology
303
+30.42%
38K → 50K
—
—
$304.36M
United States
Financial Services
304
+30.36%
629K → 819K
—
—
$2.19B
South Africa
Basic Materials
305
+30.31%
1.7M → 2.3M
—
—
$23.04M
United States
Healthcare
306
+30.17%
1.8M → 2.3M
—
—
$5.78B
United States
Financial Services
307
+30.10%
5.7M → 7.5M
—
—
$1.20B
United States
Healthcare
308
+30.10%
7.1M → 9.2M
—
—
$2.05B
United States
Consumer Defensive
309
+30.02%
175K → 227K
—
—
$16.67M
United States
Healthcare
310
+30.00%
78K → 102K
—
—
$15.08M
United States
Technology
311
+29.94%
6.0M → 7.9M
—
—
$2.28B
United States
Technology
312
+29.85%
416K → 540K
—
—
$16.86M
United States
Real Estate
313
+29.83%
381K → 494K
—
—
$1.83B
United States
Financial Services
314
+29.83%
892K → 1.2M
—
—
$4.67B
United States
Financial Services
315
+29.82%
6.1M → 7.9M
—
—
$12.62B
United States
Industrials
316
+29.52%
31K → 41K
—
—
$29.68M
Singapore
Communication Services
317
+29.35%
157K → 203K
—
—
$18.94B
South Korea
Financial Services
318
+29.30%
181K → 234K
—
—
$121.63M
United States
Industrials
319
+29.25%
173K → 223K
—
—
$4.89B
United States
Industrials
320
+29.23%
927K → 1.2M
—
—
$726.83M
Colombia
Energy
321
+29.14%
2.9M → 3.7M
—
—
$13.16B
United States
Technology
322
+29.13%
205K → 265K
—
—
$1.93B
Singapore
Consumer Cyclical
323
+29.08%
8.7M → 11.3M
—
—
$2.26B
Brazil
Financial Services
324
+29.04%
1.9M → 2.4M
—
—
$1.01B
United States
Real Estate
325
+28.98%
74K → 95K
—
—
$33.10M
Canada
Consumer Defensive
326
+28.97%
6.7M → 8.6M
—
—
$39.65B
Cayman Islands
Technology
327
+28.95%
1.5M → 1.9M
—
—
$179.58M
United States
Energy
328
+28.90%
443K → 571K
—
—
$1.62B
United States
Industrials
329
+28.83%
55K → 71K
—
—
$46.07M
United States
Financial Services
330
+28.80%
2.3M → 2.9M
—
—
$71.10M
United States
Healthcare
331
+28.63%
3.4M → 4.3M
—
—
$9.02B
United States
Financial Services
332
+28.39%
1.4M → 1.8M
—
—
$56.66M
United States
Consumer Cyclical
333
+28.24%
228K → 292K
—
—
$815.95M
United States
Financial Services
334
+28.24%
63K → 80K
—
—
$912.02M
United States
Financial Services
335
+28.20%
1.2M → 1.6M
—
—
$414.51M
United States
Financial Services
336
+28.16%
5.2M → 6.7M
—
—
$307.98M
United States
Consumer Cyclical
337
+28.15%
649K → 831K
—
—
$811.68M
United States
Healthcare
338
+28.14%
189K → 242K
—
—
$80.56M
United States
Financial Services
339
+28.13%
66K → 85K
—
—
$60.02M
United States
Basic Materials
340
+28.11%
154K → 197K
—
—
$522.85M
United States
Financial Services
341
+28.09%
313K → 401K
—
—
$486.51M
Belgium
Technology
342
+28.05%
224K → 287K
—
—
$1.39B
Greece
Energy
343
+27.98%
192K → 245K
—
—
$154.34M
Taiwan
Healthcare
344
+27.91%
900K → 1.2M
—
—
$35.80B
Taiwan
Communication Services
345
+27.91%
56K → 71K
—
—
$817.57M
United States
Financial Services
346
+27.80%
1.9M → 2.4M
—
—
$2.56B
United States
Financial Services
347
+27.75%
1.6M → 2.1M
—
—
$715.38M
United States
Technology
348
+27.74%
4.9M → 6.3M
—
—
$905.83M
Switzerland
Basic Materials
349
+27.62%
86K → 110K
—
—
$36.63M
United States
Industrials
350
+27.58%
1.9M → 2.5M
—
—
$12.26B
United States
Consumer Cyclical
351
+27.42%
1.6M → 2.0M
—
—
$1.03B
United States
Financial Services
352
+27.40%
58K → 74K
—
—
$295.76M
United States
Financial Services
353
+27.29%
2.1M → 2.7M
—
—
$12.11M
United States
Healthcare
354
+27.12%
13.0M → 16.6M
—
—
$2.81B
United States
Real Estate
355
+27.07%
33K → 42K
—
—
$98.64M
United States
Financial Services
356
+26.96%
901K → 1.1M
—
—
$956.96M
United States
Financial Services
357
+26.95%
271K → 344K
—
—
$795.82M
United States
Financial Services
358
+26.93%
955K → 1.2M
—
—
$552.79M
United States
Industrials
359
+26.86%
30.8M → 39.0M
—
—
$5.70B
United States
Basic Materials
360
+26.78%
1.1M → 1.4M
—
—
$6.72B
United States
Industrials
361
+26.75%
30K → 38K
—
—
$26.90M
United States
Consumer Cyclical
362
+26.67%
11.4M → 14.5M
—
—
$1.73B
United Kingdom
Consumer Cyclical
363
+26.65%
921K → 1.2M
—
—
$4.78B
Singapore
Industrials
364
+26.56%
4.2M → 5.3M
—
—
$5.76B
United States
Consumer Cyclical
365
+26.56%
2.6M → 3.3M
—
—
$10.39B
United Kingdom
Industrials
366
+26.47%
4.6M → 5.8M
—
—
$1.15B
United States
Consumer Cyclical
367
+26.38%
848K → 1.1M
—
—
$3.33B
United States
Financial Services
368
+26.33%
1.6M → 2.1M
—
—
$2.20B
United States
Financial Services
369
+26.27%
6.1M → 7.7M
—
—
$2.37B
United States
Industrials
370
+26.17%
395K → 498K
—
—
$860.40M
United States
Financial Services
371
+26.08%
3.8M → 4.7M
—
—
$543.35M
United States
Communication Services
372
+25.92%
6.0M → 7.6M
—
—
$34.47B
Canada
Basic Materials
373
+25.87%
112K → 141K
—
—
$636.35M
United States
Financial Services
374
+25.87%
1.2M → 1.5M
—
—
$1.37B
United States
Financial Services
375
+25.84%
3.8M → 4.8M
—
—
$278.52M
United States
Technology
376
+25.71%
297K → 374K
—
—
$100.92M
Canada
Basic Materials
377
+25.60%
58K → 73K
—
—
$71.24M
United States
Technology
378
+25.57%
62K → 77K
—
—
$142.61M
China
Healthcare
379
+25.45%
3.1M → 3.9M
—
—
$904.61M
United States
Industrials
380
+25.32%
39.0M → 48.9M
—
—
$1.48B
United States
Consumer Cyclical
381
+25.29%
2.1M → 2.6M
—
—
$1.62B
United States
Healthcare
382
+25.29%
233K → 292K
—
—
$43.85M
United States
Real Estate
383
+25.29%
2.7M → 3.3M
—
—
$21.13B
United States
Consumer Cyclical
384
+25.25%
128K → 160K
—
—
$130.41M
United States
Industrials
385
+25.24%
7.1M → 8.9M
—
—
$1.02B
Switzerland
Healthcare
386
+25.10%
46K → 57K
—
—
$39.43M
Bermuda
Financial Services
387
+24.87%
220K → 275K
—
—
$358.74M
South Africa
Technology
388
+24.86%
10.7M → 13.3M
—
—
$16.16B
Finland
Consumer Cyclical
389
+24.76%
3.3M → 4.1M
—
—
$408.93M
United States
Real Estate
390
+24.75%
2.4M → 3.0M
—
—
$8.63B
Brazil
Communication Services
391
+24.46%
3.7M → 4.7M
—
—
$6.13B
United Kingdom
Industrials
392
+24.44%
3.6M → 4.5M
—
—
$7.57B
Brazil
Energy
393
+24.33%
2.9M → 3.7M
—
—
$1.08B
Canada
Basic Materials
394
+24.24%
1.3M → 1.6M
—
—
$7.20B
United States
Industrials
395
+24.20%
1.1M → 1.4M
—
—
$2.21B
United States
Financial Services
396
+24.18%
111K → 138K
—
—
$627.75M
United States
Healthcare
397
+24.14%
721K → 895K
—
—
$213.60M
United States
Consumer Defensive
398
+24.08%
6.1M → 7.6M
—
—
$1.07B
United States
Technology
399
+24.08%
7.8M → 9.6M
—
—
$2.05B
China
Consumer Defensive
400
+24.00%
1.4M → 1.7M
—
—
$485.28M
United States
Industrials
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

CNS leads this ranking, followed by UEIC and CFFI. 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.