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 13 days old
Reporting period September 2026
Direction Falling short interest
Page 3 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
201
-23.33%
7.1M → 5.4M
—
—
$59.60M
United States
Technology
202
-23.13%
797K → 613K
—
—
$48.08M
Hong Kong
Industrials
203
-23.12%
992K → 762K
—
—
$78.54B
Italy
Energy
204
-23.09%
22.5M → 17.3M
—
—
$74.43M
United States
Technology
205
-22.99%
242K → 186K
—
—
$83.59M
United States
Technology
206
-22.97%
4.1M → 3.2M
—
—
$11.93B
United States
Technology
207
-22.89%
172K → 133K
—
—
$53.91M
China
Technology
208
-22.80%
7.0M → 5.4M
—
—
$35.97B
South Africa
Basic Materials
209
-22.70%
8.9M → 6.9M
—
—
$1.41B
United States
Financial Services
210
-22.55%
6.2M → 4.8M
—
—
$11.26B
United Kingdom
Healthcare
211
-22.37%
66K → 51K
—
—
$54.68M
Spain
Technology
212
-22.35%
54K → 42K
—
—
$72.42M
United Kingdom
Healthcare
213
-22.29%
811K → 630K
—
—
$37.25M
United States
Industrials
214
-22.22%
52.4M → 40.8M
—
—
$209.04B
Spain
Financial Services
215
-22.19%
23.0M → 17.9M
—
—
$79.36B
United States
Energy
216
-22.06%
734K → 572K
—
—
$502.39M
United States
Financial Services
217
-22.00%
187K → 146K
—
—
$20.22M
Denmark
Industrials
218
-21.90%
3.2M → 2.5M
—
—
$597.48M
United States
Healthcare
219
-21.84%
103K → 81K
—
—
$65.07M
United States
Consumer Cyclical
220
-21.58%
76K → 60K
—
—
$32.84M
Hong Kong
Technology
221
-21.58%
28.2M → 22.1M
—
—
$20.88B
United States
Industrials
222
-21.50%
54K → 42K
—
—
$182.47M
Cyprus
Energy
223
-21.49%
18.9M → 14.8M
—
—
$11.38B
United States
Real Estate
224
-21.39%
162K → 127K
—
—
$180.87M
United States
Financial Services
225
-21.10%
174K → 137K
—
—
$61.85M
China
Healthcare
226
-21.07%
3.6M → 2.9M
—
—
$2.33B
United States
Technology
227
-21.05%
2.6M → 2.0M
—
—
$21.17B
United States
Industrials
228
-21.04%
22.0M → 17.4M
—
—
$15.25B
United States
Industrials
229
-20.98%
644K → 509K
—
—
$111.65M
United States
Basic Materials
230
-20.97%
744K → 588K
—
—
$40.97M
Macau
Basic Materials
231
-20.92%
20.5M → 16.2M
—
—
$1.13B
United States
Real Estate
232
-20.91%
3.3M → 2.6M
—
—
$11.18B
Japan
Technology
233
-20.86%
782K → 619K
—
—
$29.37M
United States
Healthcare
234
-20.73%
82K → 65K
—
—
$15.93M
China
Technology
235
-20.68%
314K → 249K
—
—
$96.38M
Singapore
Communication Services
236
-20.53%
1.4M → 1.1M
—
—
$29.40B
Japan
Financial Services
237
-20.53%
17.4M → 13.8M
—
—
$18.22B
Brazil
Utilities
238
-20.53%
306K → 243K
—
—
$227.63M
United States
Financial Services
239
-20.49%
8.0M → 6.4M
—
—
$7.86B
United States
Real Estate
240
-20.44%
23.0M → 18.3M
—
—
$187.15B
United States
Healthcare
241
-20.43%
425K → 338K
—
—
$78.35M
United States
Financial Services
242
-20.39%
520K → 414K
—
—
$38.88M
Hong Kong
Financial Services
243
-20.38%
10.7M → 8.5M
—
—
$10.13B
United States
Consumer Defensive
244
-20.25%
214K → 171K
—
—
$17.24M
China
Industrials
245
-20.24%
102K → 81K
—
—
$39.05M
United States
Financial Services
246
-20.21%
2.7M → 2.1M
—
—
$12.91B
United States
Consumer Cyclical
247
-20.21%
103K → 82K
—
—
$15.83M
Israel
Healthcare
248
-20.21%
3.0M → 2.4M
—
—
$2.61B
United States
Healthcare
249
-20.20%
73.7M → 58.8M
—
—
$13.36B
Canada
Communication Services
250
-20.18%
655K → 523K
—
—
$13.34M
China
Financial Services
251
-20.17%
1.7M → 1.4M
—
—
$2.53B
United States
Financial Services
252
-20.16%
300K → 239K
—
—
$453.94M
United States
Financial Services
253
-20.11%
72.1M → 57.6M
—
—
$34.19B
United States
Consumer Defensive
254
-20.09%
136K → 108K
—
—
$14.71M
United States
Industrials
255
-20.05%
6.4M → 5.1M
—
—
$68.72B
Germany
Financial Services
256
-20.04%
129K → 103K
—
—
$12.61M
United States
Industrials
257
-20.00%
348K → 279K
—
—
$72.61M
United States
Technology
258
-19.98%
1.2M → 967K
—
—
$491.92M
United States
Real Estate
259
-19.97%
1.8M → 1.5M
—
—
$26.93M
United States
Technology
260
-19.89%
29.4M → 23.6M
—
—
$245.24B
United States
Technology
261
-19.88%
5.7M → 4.6M
—
—
$8.99B
South Africa
Basic Materials
262
-19.86%
9.8M → 7.9M
—
—
$36.74M
United States
Healthcare
263
-19.85%
43K → 35K
—
—
$11.67M
United States
Consumer Cyclical
264
-19.81%
1.3M → 1.0M
—
—
$284.66M
United States
Financial Services
265
-19.75%
6.7M → 5.4M
—
—
$73.05B
Canada
Industrials
266
-19.70%
8.0M → 6.4M
—
—
$2.08B
United States
Communication Services
267
-19.59%
41.4M → 33.3M
—
—
$350.96M
United States
Healthcare
268
-19.56%
410K → 330K
—
—
$374.23M
China
Financial Services
269
-19.47%
49K → 39K
—
—
$304.09M
United States
Financial Services
270
-19.33%
1.2M → 976K
—
—
$71.63M
United States
Healthcare
271
-19.29%
40K → 33K
—
—
$141.62M
United States
Financial Services
272
-19.27%
387K → 312K
—
—
$281.84M
United States
Financial Services
273
-19.10%
951K → 769K
—
—
$875.04M
United States
Basic Materials
274
-19.06%
33.3M → 27.0M
—
—
$25.89B
United States
Real Estate
275
-19.01%
69K → 56K
—
—
$25.88M
Israel
Healthcare
276
-18.89%
3.8M → 3.1M
—
—
$3.65B
United States
Consumer Cyclical
277
-18.67%
292K → 238K
—
—
$1.26B
United States
Real Estate
278
-18.66%
261.7M → 212.8M
—
—
$12.81B
Singapore
Technology
279
-18.65%
94K → 77K
—
—
$2.05B
United States
Financial Services
280
-18.65%
4.0M → 3.3M
—
—
$12.82B
United States
Basic Materials
281
-18.58%
12.8M → 10.4M
—
—
$6.85B
United States
Technology
282
-18.58%
2.9M → 2.4M
—
—
$61.65B
United States
Technology
283
-18.55%
4.0M → 3.2M
—
—
$1.80B
United States
Real Estate
284
-18.45%
2.6M → 2.1M
—
—
$980.93M
United States
Healthcare
285
-18.43%
73K → 60K
—
—
$591.14M
India
Healthcare
286
-18.42%
31K → 26K
—
—
$66.82M
Australia
Healthcare
287
-18.41%
612K → 499K
—
—
$83.32M
United States
Communication Services
288
-18.38%
139K → 113K
—
—
$2.10B
United States
Financial Services
289
-18.30%
3.8M → 3.1M
—
—
$59.09M
United Kingdom
Healthcare
290
-18.29%
407K → 332K
—
—
$1.98B
Argentina
Utilities
291
-18.25%
626K → 512K
—
—
$19.94M
United States
Real Estate
292
-18.21%
3.3M → 2.7M
—
—
$5.05B
United States
Technology
293
-18.09%
136K → 111K
—
—
$303.36M
Israel
Technology
294
-18.06%
473K → 387K
—
—
$1.43B
United States
Energy
295
-18.05%
44K → 36K
—
—
$75.97M
United States
Technology
296
-18.05%
1.5M → 1.2M
—
—
$121.09M
United States
Consumer Cyclical
297
-18.01%
1.6M → 1.3M
—
—
$2.98B
United States
Communication Services
298
-17.90%
38.2M → 31.3M
—
—
$235.40B
United States
Technology
299
-17.84%
213K → 175K
—
—
$42.75M
France
Technology
300
-17.79%
491K → 404K
—
—
$33.94B
United States
Technology
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

CTM leads this ranking, followed by KAZR and E. 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.