Enlitic (ASX:ENL) Current Deferred Revenue : A$0.00 Mil (As of . 20)

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What is Enlitic Current Deferred Revenue?

Current Deferred Revenue represents collections of cash or other assets related to revenue producing activity for which revenue has not yet been recognized. Generally, an entity records deferred revenue when it receives consideration from a customer before achieving certain criteria that must be met for revenue to be recognized in conformity with GAAP. It can be either current or non-current item. Also called unearned revenue.

Enlitic's current deferred revenue for the quarter that ended in . 20 was A$0.00 Mil.

Enlitic Current Deferred Revenue Historical Data

The historical data trend for Enlitic's Current Deferred Revenue 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 Current Deferred Revenue Chart

Enlitic Annual Data

Trend

Dec23

Current Deferred Revenue

Enlitic Quarterly Data
	Dec23
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Enlitic Current Deferred Revenue 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 » Current Deferred Revenue

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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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