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 25 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
2401
+2.15%
43.6M → 44.5M
—
—
$3.83B
United States
Healthcare
2402
+2.14%
4.6M → 4.7M
—
—
$4.07B
United States
Basic Materials
2403
+2.14%
23.4M → 23.9M
—
—
$4.28B
United States
Technology
2404
+2.13%
2.3M → 2.4M
—
—
$9.79B
United States
Industrials
2405
+2.12%
3.0M → 3.1M
—
—
$141.31M
United States
Healthcare
2406
+2.12%
6.0M → 6.1M
—
—
$383.09M
United States
Technology
2407
+2.12%
9.3M → 9.5M
—
—
$4.27B
United States
Healthcare
2408
+2.12%
138K → 140K
—
—
$18.53M
Taiwan
Technology
2409
+2.12%
3.9M → 4.0M
—
—
$6.60B
United States
Financial Services
2410
+2.12%
417K → 426K
—
—
$497.51M
United States
Financial Services
2411
+2.11%
10.1M → 10.3M
—
—
$101.88B
United States
Financial Services
2412
+2.11%
40.8M → 41.6M
—
—
$203.50M
United States
Healthcare
2413
+2.11%
7.0M → 7.1M
—
—
$34.18B
United States
Consumer Defensive
2414
+2.10%
12.5M → 12.8M
—
—
$1.98B
United States
Real Estate
2415
+2.09%
2.7M → 2.7M
—
—
$24.63M
United States
Energy
2416
+2.07%
1.9M → 1.9M
—
—
$428.80M
United States
Consumer Cyclical
2417
+2.06%
7.5M → 7.7M
—
—
$9.12B
Netherlands
Healthcare
2418
+2.06%
865K → 882K
—
—
$926.73M
United States
Financial Services
2419
+2.05%
828K → 845K
—
—
$671.49M
United States
Financial Services
2420
+2.03%
4.0M → 4.1M
—
—
$796.86M
United States
Technology
2421
+2.03%
5.3M → 5.4M
—
—
$17.09B
United States
Industrials
2422
+2.02%
355K → 362K
—
—
$4.29B
United States
Consumer Cyclical
2423
+2.02%
6.8M → 6.9M
—
—
$1.67B
Bermuda
Communication Services
2424
+2.02%
1.7M → 1.7M
—
—
$128.53M
United Kingdom
Healthcare
2425
+2.01%
9.9M → 10.1M
—
—
$11.66B
United States
Healthcare
2426
+2.01%
8.5M → 8.7M
—
—
$38.36B
Canada
Energy
2427
+2.01%
30.2M → 30.8M
—
—
$14.28B
United States
Financial Services
2428
+2.01%
11.1M → 11.3M
—
—
$6.88B
United States
Real Estate
2429
+2.00%
11.3M → 11.5M
—
—
$4.57B
United States
Industrials
2430
+1.99%
3.4M → 3.5M
—
—
$1.34B
United States
Healthcare
2431
+1.99%
3.4M → 3.5M
—
—
$196.97M
United States
Healthcare
2432
+1.98%
82.4M → 84.1M
—
—
$195.61B
United States
Communication Services
2433
+1.97%
2.8M → 2.9M
—
—
$373.35M
United States
Healthcare
2434
+1.97%
57.9M → 59.1M
—
—
$2.34B
United States
Healthcare
2435
+1.96%
1.6M → 1.6M
—
—
$1.60B
United States
Communication Services
2436
+1.96%
3.4M → 3.4M
—
—
$347.62M
United States
Industrials
2437
+1.96%
3.2M → 3.3M
—
—
$538.88M
Canada
Basic Materials
2438
+1.95%
262K → 267K
—
—
$89.75M
United States
Energy
2439
+1.95%
2.5M → 2.6M
—
—
$9.02B
United States
Financial Services
2440
+1.95%
425K → 434K
—
—
$686.28M
United States
Consumer Cyclical
2441
+1.95%
3.5M → 3.6M
—
—
$1.86B
United States
Industrials
2442
+1.95%
22.0M → 22.4M
—
—
$212.46B
United States
Technology
2443
+1.95%
30.4M → 31.0M
—
—
$2.53B
United States
Technology
2444
+1.95%
1.4M → 1.4M
—
—
$474.04M
United States
Consumer Cyclical
2445
+1.94%
13.9M → 14.2M
—
—
$2.57B
United States
Real Estate
2446
+1.94%
6.3M → 6.5M
—
—
$5.07B
United States
Communication Services
2447
+1.94%
6.0M → 6.1M
—
—
$3.54B
United States
Healthcare
2448
+1.93%
6.3M → 6.4M
—
—
$5.00B
United States
Technology
2449
+1.93%
3.1M → 3.1M
—
—
$10.22B
United States
Healthcare
2450
+1.91%
1.5M → 1.5M
—
—
$10.21B
United States
Healthcare
2451
+1.91%
238K → 243K
—
—
$557.32M
Singapore
Financial Services
2452
+1.91%
3.3M → 3.3M
—
—
$2.68B
United States
Financial Services
2453
+1.90%
3.8M → 3.9M
—
—
$3.36B
United States
Financial Services
2454
+1.89%
755K → 770K
—
—
$1.41B
United States
Financial Services
2455
+1.89%
34.2M → 34.8M
—
—
$27.29B
United States
Energy
2456
+1.88%
427K → 435K
—
—
$517.24M
United States
Financial Services
2457
+1.88%
1.8M → 1.8M
—
—
$2.81B
United States
Basic Materials
2458
+1.87%
4.3M → 4.4M
—
—
$2.95B
United States
Consumer Cyclical
2459
+1.87%
16.2M → 16.5M
—
—
$5.11B
United States
Financial Services
2460
+1.86%
16.2M → 16.5M
—
—
$29.72B
Canada
Basic Materials
2461
+1.84%
14.9M → 15.2M
—
—
$12.93B
United States
Healthcare
2462
+1.84%
3.3M → 3.4M
—
—
$10.52B
United States
Consumer Cyclical
2463
+1.84%
93.4M → 95.2M
—
—
$28.42B
United States
Technology
2464
+1.84%
3.2M → 3.2M
—
—
$2.55B
Belgium
Basic Materials
2465
+1.84%
15.2M → 15.5M
—
—
$24.81B
United States
Financial Services
2466
+1.83%
14.2M → 14.5M
—
—
$94.29B
United States
Consumer Cyclical
2467
+1.82%
12.1M → 12.3M
—
—
$8.61B
United States
Technology
2468
+1.82%
7.3M → 7.4M
—
—
$259.57M
Canada
Healthcare
2469
+1.82%
16.3M → 16.6M
—
—
$16.78B
United States
Financial Services
2470
+1.82%
4.9M → 5.0M
—
—
$734.25M
China
Financial Services
2471
+1.82%
48.0M → 48.8M
—
—
$1.25B
United States
Consumer Cyclical
2472
+1.81%
170K → 173K
—
—
$12.55M
Canada
Basic Materials
2473
+1.81%
3.7M → 3.8M
—
—
$1.53B
United States
Real Estate
2474
+1.80%
19.9M → 20.3M
—
—
$76.40B
Canada
Industrials
2475
+1.79%
22.2M → 22.6M
—
—
$4.43B
United States
Healthcare
2476
+1.78%
3.1M → 3.2M
—
—
$731.62M
United States
Real Estate
2477
+1.77%
35.5M → 36.2M
—
—
$107.35B
United States
Financial Services
2478
+1.77%
6.2M → 6.3M
—
—
$5.82B
United States
Healthcare
2479
+1.76%
75K → 76K
—
—
$384.07M
United States
Financial Services
2480
+1.76%
3.2M → 3.2M
—
—
$335.75M
United Kingdom
Technology
2481
+1.75%
64.1M → 65.3M
—
—
$24.05B
United States
Technology
2482
+1.74%
3.3M → 3.3M
—
—
$6.71B
Canada
Basic Materials
2483
+1.74%
12.0M → 12.3M
—
—
$37.63B
United States
Consumer Defensive
2484
+1.74%
6.8M → 6.9M
—
—
$5.19B
United States
Consumer Cyclical
2485
+1.74%
8.0M → 8.2M
—
—
$2.80B
China
Healthcare
2486
+1.73%
137K → 139K
—
—
$10.10B
Bermuda
Financial Services
2487
+1.73%
84K → 85K
—
—
$339.02M
United States
Financial Services
2488
+1.72%
5.4M → 5.5M
—
—
$428.17M
United States
Healthcare
2489
+1.72%
531K → 540K
—
—
$684.03M
United States
Industrials
2490
+1.72%
1.6M → 1.6M
—
—
$500.91M
United States
Healthcare
2491
+1.72%
1.4M → 1.4M
—
—
$17.91B
United States
Industrials
2492
+1.71%
6.7M → 6.8M
—
—
$385.68M
United States
Healthcare
2493
+1.71%
2.9M → 2.9M
—
—
$376.48M
United States
Consumer Cyclical
2494
+1.71%
23.2M → 23.6M
—
—
$2.99B
China
Technology
2495
+1.70%
6.0M → 6.1M
—
—
$1.77B
United States
Real Estate
2496
+1.69%
1.5M → 1.6M
—
—
$3.68B
United States
Consumer Cyclical
2497
+1.69%
56.6M → 57.5M
—
—
$449.59M
United States
Energy
2498
+1.68%
1.1M → 1.1M
—
—
$2.27B
Denmark
Industrials
2499
+1.68%
29.0M → 29.5M
—
—
$260.49M
United States
Healthcare
2500
+1.68%
38.4M → 39.0M
—
—
$37.05B
United States
Utilities
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

RLAY leads this ranking, followed by CBT and ENPH. 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.