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 26 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
2501
+1.67%
71.6M → 72.8M
—
—
$7.36B
United States
Technology
2502
+1.65%
2.8M → 2.8M
—
—
$223.96M
United States
Financial Services
2503
+1.65%
4.9M → 5.0M
—
—
$5.44B
United States
Technology
2504
+1.65%
4.0M → 4.1M
—
—
$1.01B
United States
Financial Services
2505
+1.64%
26.1M → 26.5M
—
—
$3.80B
United States
Consumer Cyclical
2506
+1.63%
25.3M → 25.7M
—
—
$3.85B
United States
Energy
2507
+1.62%
1.5M → 1.5M
—
—
$3.51B
United States
Consumer Cyclical
2508
+1.60%
103K → 105K
—
—
$497.65M
United States
Financial Services
2509
+1.60%
41.2M → 41.9M
—
—
$13.79B
United States
Financial Services
2510
+1.60%
18.8M → 19.1M
—
—
$5.24B
Switzerland
Healthcare
2511
+1.60%
4.4M → 4.4M
—
—
$4.32B
United States
Financial Services
2512
+1.59%
5.7M → 5.8M
—
—
$33.63B
United States
Healthcare
2513
+1.59%
3.4M → 3.4M
—
—
$3.32B
United States
Technology
2514
+1.59%
1.9M → 2.0M
—
—
$5.39B
United States
Consumer Defensive
2515
+1.59%
778K → 791K
—
—
$402.87M
United States
Healthcare
2516
+1.59%
6.3M → 6.4M
—
—
$3.58B
Canada
Healthcare
2517
+1.57%
188K → 191K
—
—
$64.22M
United States
Financial Services
2518
+1.56%
17.7M → 18.0M
—
—
$528.00M
United States
Healthcare
2519
+1.55%
1.6M → 1.7M
—
—
$2.81B
United States
Technology
2520
+1.55%
52K → 52K
—
—
$20.71M
United States
Consumer Cyclical
2521
+1.55%
4.6M → 4.7M
—
—
$67.54M
United States
Basic Materials
2522
+1.54%
4.8M → 4.9M
—
—
$385.41M
United Kingdom
Technology
2523
+1.54%
10.4M → 10.5M
—
—
$9.21B
United States
Healthcare
2524
+1.54%
17.3M → 17.5M
—
—
$1.36B
United States
Healthcare
2525
+1.54%
3.9M → 4.0M
—
—
$13.09B
United States
Industrials
2526
+1.53%
7.8M → 7.9M
—
—
$15.04B
United States
Consumer Cyclical
2527
+1.53%
13.9M → 14.2M
—
—
$4.68B
United States
Financial Services
2528
+1.53%
850K → 863K
—
—
$64.54M
United States
Technology
2529
+1.52%
51.5M → 52.3M
—
—
$31.60B
United States
Financial Services
2530
+1.51%
6.6M → 6.7M
—
—
$10.70B
United States
Healthcare
2531
+1.50%
18.9M → 19.2M
—
—
$8.34B
United States
Consumer Cyclical
2532
+1.50%
7.6M → 7.7M
—
—
$110.51B
United States
Energy
2533
+1.50%
2.3M → 2.3M
—
—
$1.99B
United States
Healthcare
2534
+1.50%
29K → 29K
—
—
$377.99M
United States
Financial Services
2535
+1.49%
258K → 262K
—
—
$75.21M
Taiwan
Consumer Cyclical
2536
+1.48%
10.1M → 10.3M
—
—
$574.35M
United States
Healthcare
2537
+1.47%
22.1M → 22.4M
—
—
$100.21B
India
Financial Services
2538
+1.47%
3.7M → 3.8M
—
—
$7.84B
United States
Healthcare
2539
+1.45%
11.6M → 11.7M
—
—
$93.28B
United States
Utilities
2540
+1.45%
34.9M → 35.4M
—
—
$12.94B
United States
Technology
2541
+1.44%
190K → 193K
—
—
$118.47M
Canada
Technology
2542
+1.43%
1.1M → 1.1M
—
—
$438.86M
United States
Financial Services
2543
+1.42%
3.7M → 3.8M
—
—
$17.63B
United States
Real Estate
2544
+1.42%
2.4M → 2.4M
—
—
$1.96B
United States
Technology
2545
+1.41%
2.1M → 2.1M
—
—
$196.73M
China
Healthcare
2546
+1.41%
23.9M → 24.2M
—
—
$2.10B
United States
Healthcare
2547
+1.40%
7.7M → 7.8M
—
—
$352.71M
United States
Energy
2548
+1.40%
14.4M → 14.6M
—
—
$3.18B
United States
Industrials
2549
+1.40%
6.4M → 6.5M
—
—
$428.36M
United Kingdom
Consumer Cyclical
2550
+1.40%
1.5M → 1.5M
—
—
$14.96B
Cayman Islands
Technology
2551
+1.39%
13.2M → 13.4M
—
—
$7.22B
United States
Technology
2552
+1.38%
1.8M → 1.9M
—
—
$359.66M
United States
Financial Services
2553
+1.38%
3.4M → 3.4M
—
—
$141.81M
United States
Healthcare
2554
+1.36%
10.7M → 10.9M
—
—
$2.11B
United States
Real Estate
2555
+1.35%
370K → 375K
—
—
$126.99M
United States
Healthcare
2556
+1.35%
3.1M → 3.2M
—
—
$271.05M
United States
Healthcare
2557
+1.34%
25.3M → 25.7M
—
—
$79.94B
United States
Industrials
2558
+1.32%
4.0M → 4.0M
—
—
$1.12B
United States
Industrials
2559
+1.32%
45.1M → 45.7M
—
—
$142.20B
United States
Technology
2560
+1.30%
1.7M → 1.8M
—
—
$1.08B
United States
Industrials
2561
+1.30%
4.6M → 4.7M
—
—
$2.41B
United States
Communication Services
2562
+1.29%
4.8M → 4.9M
—
—
$17.79B
United States
Basic Materials
2563
+1.29%
55.5M → 56.3M
—
—
$1.01B
United States
Industrials
2564
+1.27%
36.8M → 37.3M
—
—
$1.67B
United States
Healthcare
2565
+1.27%
39.7M → 40.2M
—
—
$39.65B
United States
Consumer Cyclical
2566
+1.27%
16.9M → 17.1M
—
—
$4.76B
United States
Consumer Cyclical
2567
+1.27%
1.3M → 1.3M
—
—
$213.81M
United States
Basic Materials
2568
+1.27%
4.6M → 4.7M
—
—
$231.49M
United States
Technology
2569
+1.26%
13.7M → 13.9M
—
—
$319.44M
United States
Healthcare
2570
+1.26%
454K → 460K
—
—
$43.68M
United States
Healthcare
2571
+1.26%
4.2M → 4.3M
—
—
$14.58B
United States
Financial Services
2572
+1.25%
3.9M → 3.9M
—
—
$334.22M
United States
Technology
2573
+1.25%
22.0M → 22.2M
—
—
$1.63B
Canada
Basic Materials
2574
+1.25%
343K → 347K
—
—
$66.16M
United States
Healthcare
2575
+1.24%
42.2M → 42.7M
—
—
$6.16B
Canada
Energy
2576
+1.23%
24.2M → 24.5M
—
—
$6.18B
China
Communication Services
2577
+1.23%
4.7M → 4.7M
—
—
$133.37B
United States
Healthcare
2578
+1.22%
82.3M → 83.2M
—
—
$396.49B
United States
Financial Services
2579
+1.22%
1.7M → 1.7M
—
—
$779.35M
United States
Healthcare
2580
+1.22%
114.5M → 115.9M
—
—
$620.23M
United States
Industrials
2581
+1.21%
24.2M → 24.5M
—
—
$14.97B
United States
Energy
2582
+1.21%
6.3M → 6.4M
—
—
$20.28B
United States
Industrials
2583
+1.20%
2.0M → 2.0M
—
—
$207.85M
United States
Healthcare
2584
+1.20%
28.9M → 29.3M
—
—
$11.24B
China
Consumer Cyclical
2585
+1.20%
1.1M → 1.1M
—
—
$1.13B
United States
Real Estate
2586
+1.20%
26.8M → 27.1M
—
—
$1.01B
United States
Technology
2587
+1.19%
10.5M → 10.6M
—
—
$7.97B
United States
Industrials
2588
+1.19%
35.6M → 36.0M
—
—
$25.82B
United States
Technology
2589
+1.19%
13.6M → 13.7M
—
—
$127.27B
United States
Technology
2590
+1.19%
402K → 407K
—
—
$39.49M
United States
Technology
2591
+1.19%
29.5M → 29.9M
—
—
$6.70B
United States
Consumer Defensive
2592
+1.18%
84K → 85K
—
—
$478.05M
United States
Financial Services
2593
+1.18%
55.3M → 56.0M
—
—
$83.55B
United States
Technology
2594
+1.16%
3.9M → 3.9M
—
—
$10.43B
United States
Healthcare
2595
+1.16%
363K → 368K
—
—
$455.15M
Luxembourg
Consumer Cyclical
2596
+1.16%
60.6M → 61.4M
—
—
$2.16B
United States
Consumer Cyclical
2597
+1.15%
1.2M → 1.2M
—
—
$201.52M
United States
Technology
2598
+1.14%
84K → 85K
—
—
$61.22M
Taiwan
Consumer Cyclical
2599
+1.14%
16.1M → 16.3M
—
—
$22.89B
United States
Industrials
2600
+1.14%
876K → 886K
—
—
$235.44M
United States
Industrials
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

CIFR leads this ranking, followed by MBI and NOVT. 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.