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Enlitic (ASX:ENL) EV-to-EBIT : (As of May. 12, 2024)


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What is Enlitic EV-to-EBIT?

EV-to-EBIT is calculated as Enterprise Value divided by its EBIT. As of today, Enlitic's Enterprise Value is A$27.23 Mil. Enlitic does not have enough years/quarters to calculate its EBIT for the trailing twelve months (TTM) ended in . 20. Therefore, GuruFocus does not calculate Enlitic's EV-to-EBIT at this moment.

The historical rank and industry rank for Enlitic's EV-to-EBIT or its related term are showing as below:

ASX:ENL' s EV-to-EBIT Range Over the Past 10 Years
Min: -1.56   Med: 0   Max: 0
Current: -1.17

ASX:ENL's EV-to-EBIT is ranked worse than
100% of 428 companies
in the Healthcare Providers & Services industry
Industry Median: 18.24 vs ASX:ENL: -1.17

Joel Greenblatt calls the inversion of this ratio Earnings Yield (Joel Greenblatt) %. Enlitic's Enterprise Value for the quarter that ended in . 20 was A$0.00 Mil. Enlitic does not have enough years/quarters to calculate its EBIT for the trailing twelve months (TTM) ended in . 20. Therefore, GuruFocus does not calculate Enlitic's Earnings Yield (Joel Greenblatt) % at this moment.


Enlitic EV-to-EBIT Historical Data

The historical data trend for Enlitic's EV-to-EBIT 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.

* Premium members only.

Enlitic EV-to-EBIT Chart

Enlitic Annual Data
Trend Dec23
EV-to-EBIT
-2.48

Enlitic Quarterly Data
Dec23
EV-to-EBIT -

Competitive Comparison of Enlitic's EV-to-EBIT

For the Health Information Services subindustry, Enlitic's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT 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.


Enlitic's EV-to-EBIT Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, Enlitic's EV-to-EBIT distribution charts can be found below:

* The bar in red indicates where Enlitic's EV-to-EBIT falls into.



Enlitic EV-to-EBIT Calculation

Enlitic's EV-to-EBIT for today is calculated as:

EV-to-EBIT=Enterprise Value (Today)/EBIT (TTM)
=27.228/
=


Enlitic  (ASX:ENL) EV-to-EBIT Explanation

This is a more accurate valuation of companies' operation because it considers the debt and cash on its balance sheet, and non-operating items such as interest payment, tax, and one-time items are not included in the Operating Income.

Joel Greenblatt calls the inversion of this ratio Earnings Yield (Joel Greenblatt) %.

Enlitic's Earnings Yield (Joel Greenblatt) % for the quarter that ended in . 20 is calculated as:

Earnings Yield (Joel Greenblatt) % (Q: . 20 ) =EBIT / Enterprise Value (Q: . 20 )
=/
= %


Enlitic EV-to-EBIT Related Terms

Thank you for viewing the detailed overview of Enlitic's EV-to-EBIT provided by GuruFocus.com. Please click on the following links to see related term pages.


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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