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


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What is Enlitic Total Assets?

Enlitic's Total Assets for the quarter that ended in . 20 was A$0.00 Mil.

Total Assets is connected with ROA %. Enlitic's annualized ROA % for the quarter that ended in . 20 was %. Total Assets is also linked to Revenue through Asset Turnover. Enlitic's Asset Turnover for the quarter that ended in . 20 was .


Enlitic Total Assets Historical Data

The historical data trend for Enlitic's Total 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 Assets Chart

Enlitic Annual Data
Trend Dec23
Total Assets
17.29

Enlitic Quarterly Data
Dec23
Total Assets 17.29

Enlitic Total Assets Calculation

Total Assets are all the assets a company owns.

From the capital sources of the assets, some of the assets are funded through shareholder's paid in capital and retained earnings of the business. Others are funded through borrowed money.

Enlitic's Total Assets for the fiscal year that ended in Dec. 2023 is calculated as

Total Assets=Total Equity (A: Dec. 2023 )+Total Liabilities (A: Dec. 2023 )
=16.344+0.946
=17.29

Enlitic's Total Assets for the quarter that ended in . 20 is calculated as

Total Assets=Total Equity (Q: . 20 )+Total Liabilities (Q: . 20 )
=N/A+N/A
=N/A

* 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.


Enlitic  (ASX:ENL) Total Assets Explanation

Total Assets is connected with ROA %.

Enlitic's annualized ROA % for the quarter that ended in . 20 is

ROA %=Net Income (Q: . 20 )/( (Total Assets (Q: . 20 )+Total Assets (Q: . 20 ))/ count )
=/( (+)/ )
=/
= %

Note: The Net Income data used here is four times the quarterly (. 20) data.

In the article Joining The Dark Side: Pirates, Spies and Short Sellers, James Montier reported that In their US sample covering the period 1968-2003, Cooper et al find that firms with low asset growth outperformed firms with high asset growth by an astounding 20% p.a. equally weighted. Even when controlling for market, size and style, low asset growth firms outperformed high asset growth firms by 13% p.a. Therefore a company with fast asset growth may underperform.

Total Assets is linked to total revenue through Asset Turnover.

Enlitic's Asset Turnover for the quarter that ended in . 20 is

Asset Turnover
=Revenue (Q: . 20 )/( (Total Assets (Q: . 20 )+Total Assets (Q: . 20 ))/ count )
=/( (+)/ )
=/
=

* 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.

Therefore, if a company grows its Total Assets faster than its Revenue, the Asset Turnover will decline. This might be a warning sign for the business.

Enlitic Total Assets 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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