Enlitic (ASX:ENL) Total Long-Term Assets : A$0.00 Mil (As of . 20)

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What is Enlitic Total Long-Term Assets?

Total Long-Term Assets includes Investments And Advances, Intangible Assets, Property, Plant and Equipment and Other Long Term Assets. Enlitic's Total Long-Term Assets for the quarter that ended in . 20 was A$0.00 Mil.

Enlitic Total Long-Term Assets Historical Data

The historical data trend for Enlitic's Total Long-Term Assets can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

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Enlitic Total Long-Term Assets Chart

Enlitic Annual Data

Trend

Dec23

Total Long-Term Assets

0.20

Enlitic Quarterly Data
	Dec23
Total Long-Term Assets	0.20

Enlitic Total Long-Term Assets Calculation

Total Long-Term Assets are the sum of the carrying amounts of all assets that are expected to be realized in cash, sold or consumed longer than one year. It includes Investments And Advances, Intangible Assets, Property, Plant and Equipment and Other Long Term Assets.

Enlitic Total Long-Term Assets Related Terms

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Enlitic (ASX:ENL) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » Enlitic Inc (ASX:ENL) » Definitions » Total Long-Term Assets

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Traded in Other Exchanges

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Address

3420 East Harmony Road, Suite 125, Fort Collins, CO, USA, 80528

Website

https://www.enlitic.com

Enlitic Inc is focused on artificial intelligence that enables effective administration, processing, and sharing of medical imaging data throughout the healthcare enterprise. It is also focused on developing tools that solve longstanding challenges in radiology rather than developing point solutions that exacerbate the issues radiology faces. Enlitic provides a solid plan that addresses data inconsistencies and risk associated with moving studies containing PHI and is focused on using AI for the medical imaging layer of a real-world evidence (RWE), providing healthcare organizations with a stepwise approach to operationalizing their AI.

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