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BRGX (BioRegenx) Short Interest


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What is BioRegenx Short Interest?

Short Interest can be expressed as a percentage by dividing the number of shares sold short by the total number of outstanding shares.

Due to the license agreement change with our data vendor, Short Interest related data is no longer available on GuruFocus website.

Competitive Comparison of BioRegenx's Short Interest

For the Health Information Services subindustry, BioRegenx's Short Interest, along with its competitors' market caps and Short Interest data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

BioRegenx's Short Interest Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, BioRegenx's Short Interest distribution charts can be found below:

* The bar in red indicates where BioRegenx's Short Interest falls into.


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BioRegenx Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » BioRegenx Inc (OTCPK:BRGX) » Definitions » Short Interest
Comparable Companies
LVCE MGRX CRVW PBSV OTRK STRM CBDS VYND WLSS MSPR GEHC VEEV ASX:PME DOCS SOLV TEM HQY TSE:2413 WAY HKSE:02228
Traded in Other Exchanges
N/A
Address
7407 Ziegler Road, Chattanooga, TN, USA, 37421
Website
https://www.bioregenx.com
BioRegenx Inc is redefining health intelligence with new patented technologies and artificial intelligence. Its specialize in developing intellectual property (IP) and are engaged in regenerative biotherapeutics, anti-aging, artificial intelligence (AI) for healthcare and bioinformatics for public and private transportation. The primary focus involves acquiring or developing non-invasive medical and wellness devices capable of efficiently recording, storing, and analyzing extensive datasets.