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 13 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
1201
+9.41%
1.1M → 1.2M
—
—
$119.17M
United States
Healthcare
1202
+9.41%
5.6M → 6.2M
—
—
$2.89B
China
Technology
1203
+9.41%
36.8M → 40.3M
—
—
$6.83B
Israel
Consumer Cyclical
1204
+9.40%
5.7M → 6.3M
—
—
$2.50B
United States
Technology
1205
+9.38%
18.1M → 19.8M
—
—
$303.51M
United States
Healthcare
1206
+9.37%
614K → 672K
—
—
$128.47M
United States
Technology
1207
+9.36%
1.8M → 1.9M
—
—
$4.11B
United States
Consumer Defensive
1208
+9.35%
4.1M → 4.5M
—
—
$14.08B
United States
Real Estate
1209
+9.34%
2.0M → 2.2M
—
—
$4.99B
United States
Financial Services
1210
+9.34%
10.8M → 11.8M
—
—
$1.84B
Switzerland
Healthcare
1211
+9.33%
1.2M → 1.3M
—
—
$2.09B
United States
Financial Services
1212
+9.33%
2.2M → 2.4M
—
—
$9.43B
United States
Financial Services
1213
+9.33%
4.5M → 4.9M
—
—
$241.37M
United States
Industrials
1214
+9.32%
2.6M → 2.9M
—
—
$8.38B
United States
Real Estate
1215
+9.31%
15.8M → 17.3M
—
—
$6.88B
United States
Healthcare
1216
+9.31%
9.6M → 10.5M
—
—
$427.17M
United States
Consumer Defensive
1217
+9.28%
8.8M → 9.6M
—
—
$5.83B
United States
Financial Services
1218
+9.28%
1.1M → 1.2M
—
—
$121.91M
United States
Consumer Cyclical
1219
+9.27%
1.4M → 1.6M
—
—
$204.05M
United States
Consumer Cyclical
1220
+9.26%
2.7M → 2.9M
—
—
$4.76B
United States
Consumer Cyclical
1221
+9.23%
46K → 50K
—
—
$323.77M
United States
Financial Services
1222
+9.23%
7.6M → 8.3M
—
—
$732.11M
Canada
Basic Materials
1223
+9.23%
3.3M → 3.6M
—
—
$48.65B
United States
Industrials
1224
+9.23%
2.4M → 2.6M
—
—
$4.00B
United States
Financial Services
1225
+9.21%
13.4M → 14.6M
—
—
$287.92M
United States
Consumer Cyclical
1226
+9.19%
576K → 629K
—
—
$2.46B
United States
Technology
1227
+9.18%
19.6M → 21.4M
—
—
$1.26B
United States
Consumer Cyclical
1228
+9.17%
1.5M → 1.6M
—
—
$392.75M
United States
Consumer Cyclical
1229
+9.17%
6.5M → 7.1M
—
—
$1.07B
United States
Financial Services
1230
+9.16%
6.2M → 6.8M
—
—
$931.03M
United States
Industrials
1231
+9.13%
6.2M → 6.8M
—
—
$8.42B
United States
Real Estate
1232
+9.13%
6.9M → 7.5M
—
—
$5.55B
United States
Financial Services
1233
+9.11%
1.8M → 2.0M
—
—
$4.23B
United States
Utilities
1234
+9.11%
2.4M → 2.6M
—
—
$24.40B
Netherlands
Healthcare
1235
+9.10%
12.9M → 14.1M
—
—
$3.11B
United States
Financial Services
1236
+9.09%
4.7M → 5.1M
—
—
$17.19B
United States
Industrials
1237
+9.09%
385K → 420K
—
—
$250.78M
United States
Financial Services
1238
+9.08%
479K → 522K
—
—
$529.98M
United States
Financial Services
1239
+9.08%
2.7M → 2.9M
—
—
$14.09B
United States
Energy
1240
+9.07%
19.2M → 20.9M
—
—
$747.82M
Canada
Industrials
1241
+9.07%
3.9M → 4.2M
—
—
$9.25B
Netherlands
Technology
1242
+9.07%
32.2M → 35.2M
—
—
$998.37M
Canada
Basic Materials
1243
+9.04%
115K → 125K
—
—
$444.84M
United States
Financial Services
1244
+9.03%
2.2M → 2.4M
—
—
$23.31B
United States
Consumer Cyclical
1245
+9.02%
3.8M → 4.2M
—
—
$9.11B
United States
Healthcare
1246
+9.02%
25.3M → 27.6M
—
—
$1.11B
United States
Healthcare
1247
+8.99%
11.1M → 12.1M
—
—
$9.93B
United States
Energy
1248
+8.99%
4.7M → 5.1M
—
—
$143.57M
United States
Consumer Defensive
1249
+8.99%
1.0M → 1.1M
—
—
$645.40M
United States
Technology
1250
+8.98%
7.6M → 8.2M
—
—
$5.54B
United States
Financial Services
1251
+8.98%
3.4M → 3.8M
—
—
$1.07B
United States
Energy
1252
+8.98%
3.8M → 4.1M
—
—
$44.50B
United States
Healthcare
1253
+8.95%
4.6M → 5.0M
—
—
$129.24M
United States
Industrials
1254
+8.93%
3.0M → 3.2M
—
—
$10.13B
United States
Technology
1255
+8.92%
695K → 757K
—
—
$738.19M
United States
Financial Services
1256
+8.90%
9.7M → 10.6M
—
—
$40.77B
United States
Healthcare
1257
+8.90%
807K → 878K
—
—
$588.78M
United States
Healthcare
1258
+8.87%
3.1M → 3.4M
—
—
$9.92B
United States
Industrials
1259
+8.87%
5.2M → 5.7M
—
—
$4.52B
United States
Financial Services
1260
+8.86%
274K → 299K
—
—
$1.02B
Israel
Technology
1261
+8.85%
330K → 359K
—
—
$248.67M
United States
Communication Services
1262
+8.85%
3.5M → 3.8M
—
—
$2.58B
United States
Technology
1263
+8.85%
1.7M → 1.9M
—
—
$1.20B
United States
Basic Materials
1264
+8.84%
5.4M → 5.9M
—
—
$216.61B
United Kingdom
Basic Materials
1265
+8.83%
14.7M → 16.0M
—
—
$15.28B
United States
Industrials
1266
+8.82%
885K → 963K
—
—
$139.06M
United States
Healthcare
1267
+8.82%
2.2M → 2.4M
—
—
$456.31M
United States
Industrials
1268
+8.81%
1.9M → 2.1M
—
—
$780.90M
United States
Basic Materials
1269
+8.78%
3.6M → 3.9M
—
—
$5.22B
United States
Healthcare
1270
+8.74%
71K → 77K
—
—
$67.31M
United States
Industrials
1271
+8.74%
18.3M → 19.9M
—
—
$297.77M
United States
Financial Services
1272
+8.72%
5.0M → 5.4M
—
—
$1.14B
United States
Industrials
1273
+8.72%
371K → 403K
—
—
$440.62M
United States
Financial Services
1274
+8.72%
1.8M → 2.0M
—
—
$3.10B
United States
Financial Services
1275
+8.70%
4.5M → 4.9M
—
—
$29.43B
United States
Real Estate
1276
+8.70%
12.9M → 14.0M
—
—
$311.67M
United States
Communication Services
1277
+8.69%
2.6M → 2.9M
—
—
$785.84M
United States
Technology
1278
+8.67%
28.7M → 31.2M
—
—
$1.20B
United States
Communication Services
1279
+8.66%
1.6M → 1.7M
—
—
$11.46B
United States
Financial Services
1280
+8.66%
30.7M → 33.3M
—
—
$2.03B
United States
Consumer Cyclical
1281
+8.66%
134K → 146K
—
—
$427.26M
United States
Financial Services
1282
+8.65%
469K → 510K
—
—
$111.05M
United States
Healthcare
1283
+8.65%
4.7M → 5.1M
—
—
$321.88M
United States
Technology
1284
+8.65%
13.1M → 14.2M
—
—
$32.02B
United States
Healthcare
1285
+8.65%
2.6M → 2.8M
—
—
$639.41M
United States
Industrials
1286
+8.64%
4.3M → 4.6M
—
—
$1.03B
United States
Healthcare
1287
+8.63%
8.9M → 9.7M
—
—
$1.87B
United States
Technology
1288
+8.63%
4.2M → 4.6M
—
—
$4.17B
United States
Financial Services
1289
+8.62%
184K → 200K
—
—
$640.85M
United States
Healthcare
1290
+8.61%
94K → 102K
—
—
$12.34M
United States
Healthcare
1291
+8.60%
146K → 159K
—
—
$1.10B
United States
Consumer Cyclical
1292
+8.59%
16.4M → 17.8M
—
—
$9.14B
United States
Healthcare
1293
+8.58%
4.4M → 4.7M
—
—
$1.14B
United States
Healthcare
1294
+8.56%
5.5M → 6.0M
—
—
$9.32B
United States
Financial Services
1295
+8.55%
4.3M → 4.6M
—
—
$239.94M
Canada
Technology
1296
+8.53%
2.1M → 2.3M
—
—
$12.68B
United States
Financial Services
1297
+8.51%
809K → 878K
—
—
$7.04B
United States
Industrials
1298
+8.50%
11.5M → 12.4M
—
—
$6.39B
United States
Communication Services
1299
+8.49%
3.8M → 4.1M
—
—
$112.21M
United States
Healthcare
1300
+8.48%
3.1M → 3.4M
—
—
$6.03B
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

COYA leads this ranking, followed by KC and MBLY. 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.