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Enlitic (ASX:ENL) Accumulated Depreciation : A$0.00 Mil (As of . 20)


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What is Enlitic Accumulated Depreciation?

Note: A negative number here means the assets are depreciated. When depricates more, the absolute value gets bigger.

Enlitic's annual accumulated depreciation stayed the same from . 20 (A$0.00 Mil) to . 20 (A$0.00 Mil) and stayed the same from . 20 (A$0.00 Mil) to Dec. 2023 (A$-3.66 Mil).


Enlitic Accumulated Depreciation Historical Data

The historical data trend for Enlitic's Accumulated Depreciation 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 Accumulated Depreciation Chart

Enlitic Annual Data
Trend Dec23
Accumulated Depreciation
-3.66

Enlitic Quarterly Data
Dec23
Accumulated Depreciation -3.66

Enlitic Accumulated Depreciation Calculation

The cumulative depreciation of an asset up to a single point in its life. Regardless of the method used to calculate it, the depreciation of an asset during a single period is added to the previous period's accumulated depreciation to get the current accumulated depreciation.


Enlitic Accumulated Depreciation Related Terms

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Enlitic (ASX:ENL) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
3420 East Harmony Road, Suite 125, Fort Collins, CO, USA, 80528
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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