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Neurones (XPAR:NRO) EV-to-FCF : 16.53 (As of May. 22, 2024)


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What is Neurones EV-to-FCF?

EV-to-FCF is calculated as enterprise value divided by its free cash flow. As of today, Neurones's Enterprise Value is €894.4 Mil. Neurones's Free Cash Flow for the trailing twelve months (TTM) ended in Dec. 2023 was €54.1 Mil. Therefore, Neurones's EV-to-FCF for today is 16.53.

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

XPAR:NRO' s EV-to-FCF Range Over the Past 10 Years
Min: 4.93   Med: 15.84   Max: 41.06
Current: 16.2

During the past 13 years, the highest EV-to-FCF of Neurones was 41.06. The lowest was 4.93. And the median was 15.84.

XPAR:NRO's EV-to-FCF is ranked better than
59.01% of 1515 companies
in the Software industry
Industry Median: 21.03 vs XPAR:NRO: 16.20

EV-to-FCF is a valuation multiple that allows analysts and investors to compare stocks, preferably in the same sector or industry. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.

As of today (2024-05-22), Neurones's stock price is €47.30. Neurones's Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in Dec. 2023 was €2.030. Therefore, Neurones's PE Ratio for today is 23.30.


Neurones EV-to-FCF Historical Data

The historical data trend for Neurones's EV-to-FCF 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.

Neurones EV-to-FCF Chart

Neurones Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
EV-to-FCF
Get a 7-Day Free Trial Premium Member Only Premium Member Only 6.42 6.16 12.64 17.11 15.93

Neurones Semi-Annual Data
Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
EV-to-FCF Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 12.64 - 17.11 - 15.93

Competitive Comparison of Neurones's EV-to-FCF

For the Information Technology Services subindustry, Neurones's EV-to-FCF, along with its competitors' market caps and EV-to-FCF 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.


Neurones's EV-to-FCF Distribution in the Software Industry

For the Software industry and Technology sector, Neurones's EV-to-FCF distribution charts can be found below:

* The bar in red indicates where Neurones's EV-to-FCF falls into.



Neurones EV-to-FCF Calculation

Neurones's EV-to-FCF for today is calculated as:

EV-to-FCF=Enterprise Value (Today)/Free Cash Flow (TTM)
=894.400/54.093
=16.53

Neurones's current Enterprise Value is €894.4 Mil.
For company reported semi-annually, GuruFocus uses latest annual data as the TTM data. Neurones's Free Cash Flow for the trailing twelve months (TTM) ended in Dec. 2023 was €54.1 Mil.

* 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.


Neurones  (XPAR:NRO) EV-to-FCF Explanation

EV-to-FCF is a valuation multiple that allows analysts and investors to compare stocks, preferably in the same sector or industry. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.

Neurones's PE Ratio for today is calculated as:

PE Ratio=Share Price (Today)/Earnings per Share (Diluted) (TTM)
=47.30/2.030
=23.30

Neurones's share price for today is €47.30.
For company reported semi-annually, GuruFocus uses latest annual data as the TTM data. Neurones's Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in Dec. 2023 was €2.030.

* 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.

Enterprise Value is used because it is a more complete measure in reflecting how much an investor pays when buying a company. Free Cash Flow is an important financial metric because it represents the actual amount of cash at a company's disposal. Companies with a low EV-to-FCF ratio, combined with a strong balance sheet are generally considered as undervalued.


Neurones EV-to-FCF Related Terms

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Neurones (XPAR:NRO) Business Description

Traded in Other Exchanges
Address
Immeuble Le Clemenceau 1 - 205, Avenue Georges Clemenceau, Nanterre Cedex, Paris, FRA, 92024
Neurones SA is a France-based technology sector company. Its core business involves the provision of Information Technology (IT) services catering to the needs of hardware, software, and consulting. Its operations are thereby divided into three segments: Infrastructure Services, Application Services, and Consulting. The Infrastructure segment is the strongest revenue driver through the provision of such services as IT operations, IT service management, systems and network, server, application, and workstation outsourcing. Its second most profitable business is carried out through the Application segment, which entails SAP, Web and decision support, social media, data analysis.