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 3 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
201
+40.27%
51K → 71K
—
—
$284.05M
United States
Energy
202
+40.21%
313K → 439K
—
—
$84.91M
United States
Industrials
203
+40.19%
495K → 694K
—
—
$111.85M
United States
Healthcare
204
+39.96%
2.9M → 4.0M
—
—
$2.85B
United Kingdom
Real Estate
205
+39.80%
26K → 36K
—
—
$50.56M
United States
Financial Services
206
+39.75%
135K → 188K
—
—
$30.51M
United States
Real Estate
207
+39.60%
2.0M → 2.8M
—
—
$68.01M
United States
Healthcare
208
+39.60%
440K → 614K
—
—
$56.25M
United States
Technology
209
+39.58%
30K → 42K
0.26%
1 day or less
$13.12M
Singapore
Technology
210
+39.52%
7.9M → 11.1M
—
—
$1.49B
Luxembourg
Technology
211
+39.49%
6.8M → 9.5M
—
—
$1.59B
United States
Technology
212
+39.37%
7.5M → 10.4M
—
—
$3.96B
United States
Consumer Cyclical
213
+39.36%
233K → 325K
—
—
$118.18M
Hong Kong
Consumer Cyclical
214
+39.31%
2.5M → 3.4M
—
—
$2.58B
China
Consumer Cyclical
215
+39.27%
313K → 436K
—
—
$1.06B
United States
Consumer Cyclical
216
+39.21%
302K → 420K
—
—
$353.71M
—
—
217
+38.95%
807K → 1.1M
—
—
$1.19B
Switzerland
Basic Materials
218
+38.93%
88K → 123K
—
—
$37.87M
United States
Technology
219
+38.76%
30K → 42K
—
—
$24.08M
Australia
Healthcare
220
+38.66%
45K → 62K
—
—
$130.40M
United States
Consumer Cyclical
221
+38.63%
52K → 73K
—
—
$40.72M
United Arab Emirates
Consumer Cyclical
222
+38.55%
2.2M → 3.0M
—
—
$6.45B
United States
Industrials
223
+38.51%
428K → 592K
—
—
$815.65M
United States
Financial Services
224
+38.27%
348K → 481K
—
—
$11.39M
United States
Healthcare
225
+38.18%
328K → 453K
—
—
$23.89M
Argentina
Basic Materials
226
+38.00%
271K → 374K
—
—
$500.86M
United States
Consumer Cyclical
227
+37.99%
180K → 249K
—
—
$244.73M
United States
Financial Services
228
+37.79%
25.1M → 34.6M
—
—
$61.24B
Canada
Energy
229
+37.77%
509K → 701K
—
—
$61.25M
United States
Healthcare
230
+37.74%
866K → 1.2M
—
—
$3.04B
Greece
Industrials
231
+37.68%
862K → 1.2M
—
—
$95.94M
United States
Consumer Defensive
232
+37.15%
271K → 372K
—
—
$116.61M
United States
Basic Materials
233
+37.12%
227K → 311K
—
—
$52.62M
Ireland
Technology
234
+37.03%
91K → 125K
—
—
$17.11M
Hong Kong
Industrials
235
+36.99%
534K → 732K
—
—
$6.67B
United States
Financial Services
236
+36.93%
3.4M → 4.6M
—
—
$22.02B
United States
Industrials
237
+36.77%
637K → 871K
—
—
$4.69B
United States
Industrials
238
+36.52%
736K → 1.0M
—
—
$3.94B
United States
Industrials
239
+36.48%
3.5M → 4.8M
—
—
$5.18B
United States
Consumer Cyclical
240
+36.46%
2.5M → 3.4M
—
—
$9.69B
United Kingdom
Communication Services
241
+36.45%
163K → 222K
—
—
$53.33M
United States
Industrials
242
+36.35%
369K → 503K
—
—
$363.25M
United States
Real Estate
243
+36.35%
6.2M → 8.4M
—
—
$5.60B
United States
Technology
244
+36.11%
43.8M → 59.6M
—
—
$57.04B
Canada
Energy
245
+35.97%
765K → 1.0M
—
—
$55.89M
Jersey
Consumer Cyclical
246
+35.97%
2.1M → 2.8M
—
—
$20.39B
United States
Healthcare
247
+35.82%
48K → 66K
—
—
$897.01M
United States
Financial Services
248
+35.69%
8.0M → 10.9M
—
—
$23.96B
United States
Industrials
249
+35.50%
50K → 68K
—
—
$501.49M
United States
Financial Services
250
+35.43%
2.0M → 2.7M
—
—
$80.28M
United States
Financial Services
251
+35.25%
4.8M → 6.5M
—
—
$82.98B
United Kingdom
Financial Services
252
+35.08%
1.1M → 1.5M
—
—
$841.42M
Singapore
Technology
253
+35.06%
874K → 1.2M
—
—
$5.52B
Belgium
Energy
254
+35.04%
431K → 581K
—
—
$1.49B
United States
Industrials
255
+34.98%
170K → 229K
—
—
$493.56M
United States
Financial Services
256
+34.96%
10.2M → 13.7M
—
—
$115.37B
Taiwan
Technology
257
+34.86%
45K → 61K
—
—
$647.03M
United States
Financial Services
258
+34.75%
1.6M → 2.1M
—
—
$257.88M
United States
Industrials
259
+33.92%
278K → 372K
—
—
$439.67M
United States
Financial Services
260
+33.89%
145K → 194K
—
—
$30.59M
United States
Industrials
261
+33.88%
172K → 230K
—
—
$90.07M
United States
Financial Services
262
+33.57%
175K → 234K
—
—
$90.79M
United States
Communication Services
263
+33.55%
46K → 61K
—
—
$28.61M
United States
Healthcare
264
+33.30%
3.5M → 4.7M
—
—
$26.61B
United Kingdom
Industrials
265
+33.15%
120K → 160K
—
—
$37.79M
Hong Kong
Consumer Cyclical
266
+33.06%
265K → 353K
—
—
$3.89B
Australia
Healthcare
267
+33.02%
412K → 548K
—
—
$239.14M
United States
Financial Services
268
+33.01%
2.1M → 2.8M
—
—
$712.46M
United States
Consumer Defensive
269
+32.96%
1.1M → 1.4M
—
—
$177.75M
United States
Financial Services
270
+32.95%
84K → 112K
—
—
$364.88M
United Kingdom
Energy
271
+32.85%
2.6M → 3.4M
—
—
$5.17B
United States
Communication Services
272
+32.82%
5.7M → 7.6M
—
—
$70.30B
United States
Industrials
273
+32.64%
4.9M → 6.5M
—
—
$14.69B
United States
Financial Services
274
+32.53%
1.1M → 1.5M
—
—
$3.74B
United States
Communication Services
275
+32.44%
1.7M → 2.2M
—
—
$3.93B
United States
Energy
276
+32.42%
83K → 110K
—
—
$322.48M
United States
Financial Services
277
+32.40%
1.9M → 2.5M
—
—
$5.32B
United States
Consumer Cyclical
278
+32.07%
10.5M → 13.8M
—
—
$14.44B
United States
Consumer Cyclical
279
+32.02%
12.3M → 16.3M
—
—
$3.00B
United States
Financial Services
280
+31.94%
3.4M → 4.4M
—
—
$60.15M
United States
Energy
281
+31.93%
86K → 113K
—
—
$66.56M
United States
Communication Services
282
+31.83%
740K → 975K
—
—
$14.81B
United States
Real Estate
283
+31.82%
4.9M → 6.4M
—
—
$1.80B
United States
Consumer Cyclical
284
+31.80%
63K → 83K
—
—
$86.91M
United States
Consumer Defensive
285
+31.79%
946K → 1.2M
—
—
$368.16M
United States
Industrials
286
+31.72%
3.7M → 4.9M
—
—
$796.06M
France
Healthcare
287
+31.65%
508K → 669K
—
—
$38.12B
South Korea
Financial Services
288
+31.53%
381K → 502K
—
—
$173.41M
Israel
Communication Services
289
+31.50%
236K → 310K
—
—
$436.60M
United States
Technology
290
+31.43%
84K → 111K
—
—
$172.66M
United States
Financial Services
291
+31.35%
4.0M → 5.3M
—
—
$7.75B
United States
Technology
292
+31.29%
117K → 154K
—
—
$20.92M
United States
Healthcare
293
+31.29%
21.8M → 28.6M
—
—
$4.14B
United States
Communication Services
294
+31.19%
358K → 470K
—
—
$301.62M
United States
Healthcare
295
+31.11%
13.5M → 17.7M
—
—
$4.47B
United States
Utilities
296
+31.03%
144K → 189K
—
—
$257.47M
Israel
Technology
297
+30.82%
4.2M → 5.5M
—
—
$816.46M
United States
Technology
298
+30.80%
77K → 101K
—
—
$124.08M
China
Industrials
299
+30.78%
4.4M → 5.7M
—
—
$3.21B
United States
Technology
300
+30.61%
6.0M → 7.8M
—
—
$12.30B
United States
Technology
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

NC leads this ranking, followed by SPAI and VANI. 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.