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 23 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
2201
+3.17%
21.0M → 21.6M
—
—
$56.84B
United States
Energy
2202
+3.17%
3.2M → 3.3M
—
—
$216.22M
Hong Kong
Financial Services
2203
+3.16%
921K → 951K
—
—
$798.29M
United States
Financial Services
2204
+3.15%
83K → 85K
—
—
$246.07M
United States
Industrials
2205
+3.14%
949K → 978K
—
—
$13.66B
United States
Technology
2206
+3.14%
2.7M → 2.7M
—
—
$1.53B
United States
Financial Services
2207
+3.14%
4.7M → 4.8M
—
—
$2.85B
United States
Energy
2208
+3.14%
15.1M → 15.5M
—
—
$2.07B
United States
Consumer Cyclical
2209
+3.13%
13.9M → 14.3M
—
—
$220.62M
United States
Healthcare
2210
+3.12%
744K → 767K
—
—
$1.16B
United States
Industrials
2211
+3.11%
4.7M → 4.8M
—
—
$67.65B
United States
Industrials
2212
+3.11%
240K → 248K
—
—
$319.53M
United States
Real Estate
2213
+3.11%
1.7M → 1.8M
—
—
$291.21M
Germany
Industrials
2214
+3.10%
2.2M → 2.3M
—
—
$541.30M
United States
Healthcare
2215
+3.10%
7.7M → 7.9M
—
—
$1.10B
United States
Healthcare
2216
+3.08%
2.2M → 2.3M
—
—
$56.34M
United States
Healthcare
2217
+3.08%
172K → 178K
—
—
$97.25M
United States
Healthcare
2218
+3.08%
105.4M → 108.7M
—
—
$12.90B
United States
Industrials
2219
+3.07%
696K → 718K
—
—
$503.95M
United States
Industrials
2220
+3.06%
1.2M → 1.2M
—
—
$21.08M
United States
Technology
2221
+3.06%
5.6M → 5.8M
—
—
$95.10B
United States
Financial Services
2222
+3.05%
611K → 630K
—
—
$949.14M
United States
Industrials
2223
+3.05%
5.9M → 6.0M
—
—
$8.66B
United States
Energy
2224
+3.04%
1.5M → 1.5M
—
—
$289.36M
United States
Industrials
2225
+3.04%
11.5M → 11.8M
—
—
$15.37B
United States
Communication Services
2226
+3.03%
4.8M → 4.9M
—
—
$4.35B
United States
Consumer Cyclical
2227
+3.03%
13.7M → 14.2M
—
—
$5.75B
United States
Real Estate
2228
+3.03%
14.1M → 14.6M
—
—
$14.34B
Germany
Industrials
2229
+3.03%
3.8M → 3.9M
—
—
$693.53M
United States
Financial Services
2230
+3.02%
1.6M → 1.7M
—
—
$99.47B
United States
Real Estate
2231
+3.02%
9.1M → 9.4M
—
—
$281.58M
United States
Healthcare
2232
+3.01%
42K → 44K
—
—
$34.87M
Hong Kong
Industrials
2233
+3.01%
5.4M → 5.5M
—
—
$526.42M
United States
Healthcare
2234
+3.01%
919K → 947K
—
—
$2.49B
United States
Basic Materials
2235
+3.01%
2.0M → 2.1M
—
—
$2.43B
United States
Financial Services
2236
+3.01%
7.8M → 8.0M
—
—
$4.69B
United States
Financial Services
2237
+3.01%
3.6M → 3.7M
—
—
$2.74B
United States
Real Estate
2238
+2.99%
14.7M → 15.2M
—
—
$6.85B
Ireland
Healthcare
2239
+2.99%
16.6M → 17.1M
—
—
$3.26B
United States
Healthcare
2240
+2.99%
1.6M → 1.6M
—
—
$303.12M
United States
Consumer Cyclical
2241
+2.98%
9.9M → 10.2M
—
—
$6.74B
United States
Industrials
2242
+2.97%
424K → 436K
—
—
$600.13M
United States
Industrials
2243
+2.97%
44.9M → 46.2M
—
—
$18.55B
United States
Consumer Cyclical
2244
+2.97%
4.9M → 5.1M
—
—
$7.51B
United States
Energy
2245
+2.97%
2.0M → 2.1M
—
—
$221.75M
United States
Energy
2246
+2.96%
4.0M → 4.1M
—
—
$450.12M
Canada
Basic Materials
2247
+2.96%
91.5M → 94.2M
—
—
$296.24B
United States
Communication Services
2248
+2.96%
2.6M → 2.7M
—
—
$347.45M
United States
Industrials
2249
+2.95%
6.6M → 6.8M
—
—
$4.15B
United States
Real Estate
2250
+2.94%
6.9M → 7.1M
—
—
$1.50B
United States
Healthcare
2251
+2.93%
13.2M → 13.5M
—
—
$414.57M
United States
Healthcare
2252
+2.93%
54.1M → 55.7M
—
—
$3.01B
United States
Energy
2253
+2.92%
14.1M → 14.5M
—
—
$2.54B
United States
Communication Services
2254
+2.91%
50.5M → 51.9M
—
—
$1.68T
United States
Technology
2255
+2.91%
5.1M → 5.2M
—
—
$682.77M
United States
Consumer Defensive
2256
+2.90%
511K → 526K
—
—
$278.82M
Ireland
Healthcare
2257
+2.90%
34.6M → 35.7M
—
—
$57.87B
United States
Industrials
2258
+2.90%
3.3M → 3.4M
—
—
$1.47B
United States
Healthcare
2259
+2.90%
376K → 387K
—
—
$491.98M
United States
Financial Services
2260
+2.90%
4.8M → 5.0M
—
—
$45.44B
United States
Healthcare
2261
+2.89%
17.4M → 17.9M
—
—
$4.45B
United States
Financial Services
2262
+2.89%
42.4M → 43.6M
—
—
$31.55B
United States
Energy
2263
+2.87%
3.3M → 3.4M
—
—
$23.45B
Ireland
Industrials
2264
+2.87%
30.9M → 31.8M
—
—
$11.14B
United States
Healthcare
2265
+2.86%
574K → 590K
—
—
$507.28M
United States
Consumer Cyclical
2266
+2.86%
9.1M → 9.3M
—
—
$393.31M
United States
Healthcare
2267
+2.85%
24.8M → 25.5M
—
—
$16.49B
United States
Utilities
2268
+2.85%
4.5M → 4.7M
—
—
$3.27B
Canada
Basic Materials
2269
+2.84%
3.2M → 3.3M
—
—
$2.75B
United States
Industrials
2270
+2.84%
2.6M → 2.7M
—
—
$216.78M
United States
Financial Services
2271
+2.84%
4.1M → 4.2M
—
—
$60.23B
Japan
Healthcare
2272
+2.84%
14.8M → 15.2M
—
—
$100.99M
United States
Communication Services
2273
+2.83%
132K → 135K
—
—
$4.84B
Bermuda
Financial Services
2274
+2.81%
12.1M → 12.5M
—
—
$813.24M
United States
Real Estate
2275
+2.81%
805K → 828K
—
—
$227.33M
United States
Consumer Defensive
2276
+2.80%
54.4M → 56.0M
—
—
$5.66B
United States
Consumer Defensive
2277
+2.80%
1.3M → 1.3M
—
—
$706.57M
United States
Consumer Cyclical
2278
+2.80%
15.0M → 15.4M
—
—
$14.67B
United States
Communication Services
2279
+2.80%
993K → 1.0M
—
—
$41.59M
United States
Communication Services
2280
+2.80%
4.2M → 4.3M
—
—
$8.14B
United States
Industrials
2281
+2.80%
13.8M → 14.2M
—
—
$97.51B
United States
Industrials
2282
+2.79%
9.5M → 9.7M
—
—
$3.56B
United States
Financial Services
2283
+2.79%
48K → 49K
—
—
$98.50M
United States
Consumer Cyclical
2284
+2.78%
1.4M → 1.4M
—
—
$7.35B
United States
Financial Services
2285
+2.78%
208.1M → 213.9M
—
—
$2.50B
United States
Real Estate
2286
+2.77%
1.7M → 1.7M
—
—
$6.63B
Canada
Basic Materials
2287
+2.76%
6.5M → 6.6M
—
—
$480.15M
United States
Consumer Cyclical
2288
+2.76%
16.3M → 16.7M
—
—
$1.07B
United States
Consumer Cyclical
2289
+2.76%
1.3M → 1.4M
—
—
$9.95B
Canada
Industrials
2290
+2.72%
2.9M → 3.0M
—
—
$3.40B
United States
Financial Services
2291
+2.70%
51K → 52K
—
—
$186.26M
Turkey
Technology
2292
+2.70%
25.7M → 26.4M
—
—
$58.22B
United States
Financial Services
2293
+2.69%
1.8M → 1.9M
—
—
$1.98B
United States
Utilities
2294
+2.69%
2.4M → 2.4M
—
—
$19.11B
Chile
Basic Materials
2295
+2.68%
2.7M → 2.8M
—
—
$881.80M
United States
Industrials
2296
+2.68%
155K → 159K
—
—
$579.62M
United States
Financial Services
2297
+2.68%
19.8M → 20.3M
—
—
$17.89B
United States
Energy
2298
+2.67%
185K → 189K
—
—
$1.91B
Singapore
Financial Services
2299
+2.66%
6.1M → 6.2M
—
—
$11.41B
United States
Technology
2300
+2.65%
105.7M → 108.5M
—
—
$11.40B
United States
Real Estate
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

OXY leads this ranking, followed by TROO and PGC. 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.