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 16 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
-22.55%
6.2M → 4.8M
1.15%
2.2
$11.28B
United Kingdom
Healthcare
202
-22.37%
66K → 51K
0.14%
1 day or less
$49.49M
Spain
Technology
203
-22.35%
54K → 42K
0.12%
1 day or less
$67.70M
United Kingdom
Healthcare
204
-22.29%
811K → 630K
13.20%
2.7
$45.21M
United States
Industrials
205
-22.22%
52.4M → 40.8M
0.28%
5.3
$200.49B
Spain
Financial Services
206
-22.19%
23.0M → 17.9M
1.24%
8.1
$76.90B
United States
Energy
207
-22.06%
734K → 572K
0.73%of outstanding
2.0
$487.41M
United States
Financial Services
208
-22.00%
187K → 146K
0.57%
1.2
$17.47M
Denmark
Industrials
209
-21.90%
3.2M → 2.5M
6.90%
3.7
$520.23M
United States
Healthcare
210
-21.84%
103K → 81K
1.57%
2.4
$55.15M
United States
Consumer Cyclical
211
-21.58%
76K → 60K
2.28%
2.6
$31.13M
Hong Kong
Technology
212
-21.58%
28.2M → 22.1M
4.56%
4.5
$20.37B
United States
Industrials
213
-21.50%
54K → 42K
0.48%
1.4
$190.42M
Cyprus
Energy
214
-21.49%
18.9M → 14.8M
3.71%
2.7
$11.10B
United States
Real Estate
215
-21.39%
162K → 127K
1.76%
10.8
$177.29M
United States
Financial Services
216
-21.10%
174K → 137K
1.49%
3.6
$56.87M
China
Healthcare
217
-21.07%
3.6M → 2.9M
5.07%
2.1
$2.25B
United States
Technology
218
-21.05%
2.6M → 2.0M
2.77%
2.4
$21.04B
United States
Industrials
219
-21.04%
22.0M → 17.4M
5.13%
6.3
$15.10B
United States
Industrials
220
-20.98%
644K → 509K
16.01%of outstanding
1 day or less
$80.88M
United States
Basic Materials
221
-20.97%
744K → 588K
3.41%
1 day or less
$40.97M
Macau
Basic Materials
222
-20.92%
20.5M → 16.2M
8.17%
3.6
$1.07B
United States
Real Estate
223
-20.91%
3.3M → 2.6M
0.38%
2.5
$10.63B
Japan
Technology
224
-20.86%
782K → 619K
3.66%
5.6
$36.23M
United States
Healthcare
225
-20.73%
82K → 65K
2.11%
3.6
$14.94M
China
Technology
226
-20.68%
314K → 249K
0.68%
1.5
$93.43M
Singapore
Communication Services
227
-20.53%
1.4M → 1.1M
0.04%of outstanding
1.3
$28.58B
Japan
Financial Services
228
-20.53%
17.4M → 13.8M
0.39%
1.5
$18.67B
Brazil
Utilities
229
-20.53%
306K → 243K
1.38%
9.3
$226.58M
United States
Financial Services
230
-20.49%
8.0M → 6.4M
3.34%
4.4
$7.82B
United States
Real Estate
231
-20.44%
23.0M → 18.3M
1.48%
3.6
$184.82B
United States
Healthcare
232
-20.43%
425K → 338K
1.08%
1 day or less
$102.14M
United States
Financial Services
233
-20.39%
520K → 414K
1.97%
1.9
$24.32M
Hong Kong
Financial Services
234
-20.38%
10.7M → 8.5M
7.09%
2.9
$9.80B
United States
Consumer Defensive
235
-20.25%
214K → 171K
0.83%
1 day or less
$16.26M
China
Industrials
236
-20.24%
102K → 81K
0.79%
5.2
$38.15M
United States
Financial Services
237
-20.21%
2.7M → 2.1M
2.82%
2.6
$12.93B
United States
Consumer Cyclical
238
-20.21%
3.0M → 2.4M
11.82%
3.7
$2.58B
United States
Healthcare
239
-20.20%
73.7M → 58.8M
3.80%of outstanding
10.1
$13.21B
Canada
Communication Services
240
-20.18%
655K → 523K
7.21%
10.0
$13.54M
China
Financial Services
241
-20.17%
1.7M → 1.4M
4.10%
4.7
$2.45B
United States
Financial Services
242
-20.16%
300K → 239K
0.61%of outstanding
2.4
$449.25M
United States
Financial Services
243
-20.11%
72.1M → 57.6M
3.00%
1.7
$33.92B
United States
Consumer Defensive
244
-20.09%
136K → 108K
4.86%
1 day or less
$16.18M
United States
Industrials
245
-20.05%
6.4M → 5.1M
0.30%
2.8
$67.44B
Germany
Financial Services
246
-20.04%
129K → 103K
3.33%
9.8
$12.37M
United States
Industrials
247
-20.00%
348K → 279K
9.02%
1 day or less
$69.25M
United States
Technology
248
-19.98%
1.2M → 967K
1.75%
3.5
$473.90M
United States
Real Estate
249
-19.97%
1.8M → 1.5M
6.76%
4.3
$25.58M
United States
Technology
250
-19.89%
29.4M → 23.6M
1.81%
2.5
$254.38B
United States
Technology
251
-19.88%
5.7M → 4.6M
0.70%
2.0
$8.86B
South Africa
Basic Materials
252
-19.86%
9.8M → 7.9M
36.60%
5.0
$27.67M
United States
Healthcare
253
-19.85%
43K → 35K
3.09%
1 day or less
$11.71M
United States
Consumer Cyclical
254
-19.81%
1.3M → 1.0M
3.70%of outstanding
7.9
$317.73M
United States
Financial Services
255
-19.75%
6.7M → 5.4M
0.90%
3.3
$71.83B
Canada
Industrials
256
-19.70%
8.0M → 6.4M
4.78%
1.5
$2.09B
United States
Communication Services
257
-19.59%
41.4M → 33.3M
19.85%
5.2
$325.53M
United States
Healthcare
258
-19.56%
410K → 330K
0.43%
3.2
$369.57M
China
Financial Services
259
-19.47%
49K → 39K
0.13%of outstanding
1 day or less
$307.05M
United States
Financial Services
260
-19.33%
1.2M → 976K
2.17%
3.1
$70.46M
United States
Healthcare
261
-19.29%
40K → 33K
0.16%of outstanding
1 day or less
$136.36M
United States
Financial Services
262
-19.27%
387K → 312K
3.58%
8.6
$277.94M
United States
Financial Services
263
-19.10%
951K → 769K
4.40%
4.8
$862.18M
United States
Basic Materials
264
-19.06%
33.3M → 27.0M
2.46%
2.5
$25.29B
United States
Real Estate
265
-19.01%
69K → 56K
2.30%
1 day or less
$26.19M
Israel
Healthcare
266
-18.89%
3.8M → 3.1M
3.80%
5.1
$3.54B
United States
Consumer Cyclical
267
-18.67%
292K → 238K
11.19%
6.0
$1.26B
United States
Real Estate
268
-18.66%
261.7M → 212.8M
6.79%
3.6
$12.72B
Singapore
Technology
269
-18.65%
94K → 77K
0.11%of outstanding
1 day or less
$2.02B
United States
Financial Services
270
-18.65%
4.0M → 3.3M
2.61%
2.8
$12.59B
United States
Basic Materials
271
-18.58%
12.8M → 10.4M
8.32%
5.2
$6.78B
United States
Technology
272
-18.58%
2.9M → 2.4M
1.40%
2.8
$61.98B
United States
Technology
273
-18.55%
4.0M → 3.2M
3.54%
4.2
$1.79B
United States
Real Estate
274
-18.45%
2.6M → 2.1M
11.52%
7.3
$984.77M
United States
Healthcare
275
-18.43%
73K → 60K
0.14%
1 day or less
$597.15M
India
Healthcare
276
-18.42%
31K → 26K
0.14%
1.3
$66.46M
Australia
Healthcare
277
-18.41%
612K → 499K
3.80%
1.6
$59.51M
United States
Communication Services
278
-18.38%
139K → 113K
0.15%of outstanding
1.4
$2.08B
United States
Financial Services
279
-18.30%
3.8M → 3.1M
1.94%
2.0
$64.20M
United Kingdom
Healthcare
280
-18.29%
407K → 332K
0.23%
1.4
$1.82B
Argentina
Utilities
281
-18.25%
626K → 512K
2.39%
5.8
$14.89M
United States
Real Estate
282
-18.21%
3.3M → 2.7M
1.02%
1.1
$5.07B
United States
Technology
283
-18.09%
136K → 111K
2.14%
1 day or less
$300.60M
Israel
Technology
284
-18.06%
473K → 387K
0.87%
4.2
$1.38B
United States
Energy
285
-18.05%
44K → 36K
0.98%
1 day or less
$79.31M
United States
Technology
286
-18.05%
1.5M → 1.2M
3.56%
5.6
$119.05M
United States
Consumer Cyclical
287
-18.01%
1.6M → 1.3M
8.41%
4.9
$2.92B
United States
Communication Services
288
-17.90%
38.2M → 31.3M
3.59%
1.7
$237.45B
United States
Technology
289
-17.84%
213K → 175K
1.57%
5.7
$41.40M
France
Technology
290
-17.79%
491K → 404K
9.53%
2.1
$34.35B
United States
Technology
291
-17.72%
67.8M → 55.8M
15.77%
1.9
$587.83M
United States
Financial Services
292
-17.71%
27.2M → 22.3M
2.54%
4.5
$53.23B
United States
Utilities
293
-17.71%
35.2M → 29.0M
2.63%
5.2
$95.35B
United States
Utilities
294
-17.68%
20.5M → 16.9M
3.78%
5.6
$47.42B
United States
Utilities
295
-17.68%
1.8M → 1.5M
1.47%
2.2
$203.57M
Israel
Technology
296
-17.65%
616K → 507K
3.54%
5.1
$35.93M
United States
Industrials
297
-17.57%
36K → 29K
0.38%of outstanding
1 day or less
$685.05M
—
—
298
-17.53%
20.0M → 16.5M
7.52%
6.8
$3.82B
United States
Real Estate
299
-17.53%
1.8M → 1.5M
6.21%
3.7
$27.66M
United States
Financial Services
300
-17.51%
291K → 240K
2.83%
5.0
$40.52M
United States
Healthcare
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

SNN leads this ranking, followed by CRGO and OKYO. 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.