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SOUNDHOUND AI, INC. short interest in 2023

In 2023, SOUNDHOUND AI, INC.'s disclosed short interest ran from 2.52% of shares outstanding on 13 Jan 2023 to 9.81% on 29 Dec 2023, a change of +7.29 percentage points. The year's high was 13.34% on 29 Sep 2023 and its low 2.52% on 13 Jan 2023, averaging 7.86% across 23 twice-monthly settlement dates. FINRA's days-to-cover figure peaked at 4.68 days on 31 Oct 2023. Full history: SOUNDHOUND AI, INC..

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By year: 2022 · 2023 · 2024 · 2025 · 2026

Aggregate net short position time series for SOUNDHOUND AI, INC. in 2023

2023 in figures

Start of year
2.52% (13 Jan 2023)
End of year
9.81% (29 Dec 2023)
Change
+7.29 pp
High
13.34% (29 Sep 2023)
Low
2.52% (13 Jan 2023)
Average
7.86%
Highest days to cover
4.68 (31 Oct 2023)
SEC filings marked
9

Every report in 2023

SOUNDHOUND AI, INC. short interest in 2023
SettlementShort interestDays to coverFilings since previous
13 Jan 20232.52%2.85
31 Jan 20232.73%1.00results (8-K)
28 Feb 20235.25%1.00
15 Mar 20234.77%1.00results (8-K)
31 Mar 20235.54%1.4110-K filed
14 Apr 20237.33%1.00
28 Apr 20237.54%1.72
15 May 20236.41%2.1210-Q filed
31 May 20235.76%1.00
15 Jun 20234.67%1.00
30 Jun 20236.28%1.00
14 Jul 20238.14%1.00
31 Jul 20239.43%1.00results (8-K)
15 Aug 20239.08%1.24results (8-K), 10-Q filed
31 Aug 202311.10%1.83
15 Sep 202311.43%2.75
29 Sep 202313.34%2.88
13 Oct 202311.56%4.63
31 Oct 202310.07%4.68
15 Nov 20239.71%2.66results (8-K), 10-Q filed
30 Nov 20239.33%2.56
15 Dec 20238.93%2.52
29 Dec 20239.81%2.76

See also: SOUNDHOUND AI, INC.'s full history · most shorted US stocks of 2023 · today's US league.

About this data

US short interest data: FINRA (finra.org), shown as reported shares short divided by SEC-reported shares outstanding for each settlement date. FINRA® is a registered trademark of the Financial Industry Regulatory Authority, Inc. This site is not affiliated with or endorsed by FINRA or the SEC; displayed for personal reference, bulk redistribution is not permitted (see terms). Nothing here is investment advice. Method: methodology.