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Almawave SpA (MIL:AIW) Debt-to-Asset : 0.03 (As of Dec. 2023)


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What is Almawave SpA Debt-to-Asset?

Almawave SpA's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was €0.15 Mil. Almawave SpA's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was €3.14 Mil. Almawave SpA's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Dec. 2023 was €118.14 Mil. Almawave SpA's debt to asset for the quarter that ended in Dec. 2023 was 0.03.


Almawave SpA Debt-to-Asset Historical Data

The historical data trend for Almawave SpA's Debt-to-Asset 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.

Almawave SpA Debt-to-Asset Chart

Almawave SpA Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-Asset
Get a 7-Day Free Trial 0.06 0.31 - 0.01 0.03

Almawave SpA Semi-Annual Data
Dec17 Dec18 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Debt-to-Asset Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only - 0.01 0.01 0.01 0.03

Competitive Comparison of Almawave SpA's Debt-to-Asset

For the Information Technology Services subindustry, Almawave SpA's Debt-to-Asset, along with its competitors' market caps and Debt-to-Asset 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.


Almawave SpA's Debt-to-Asset Distribution in the Software Industry

For the Software industry and Technology sector, Almawave SpA's Debt-to-Asset distribution charts can be found below:

* The bar in red indicates where Almawave SpA's Debt-to-Asset falls into.



Almawave SpA Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Almawave SpA's Debt-to-Asset for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-Asset=Total Debt / Total Assets
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Total Assets
=(0.151 + 3.135) / 118.144
=0.03

Almawave SpA's Debt-to-Asset for the quarter that ended in Dec. 2023 is calculated as

Debt-to-Asset=Total Debt / Total Assets
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Total Assets
=(0.151 + 3.135) / 118.144
=0.03

* 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.


Almawave SpA  (MIL:AIW) Debt-to-Asset Explanation

In the calculation of Debt-to-Asset, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by Total Assets.


Almawave SpA Debt-to-Asset Related Terms

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Almawave SpA (MIL:AIW) Business Description

Traded in Other Exchanges
Address
188/190, Via di Casal Boccone, Rome, ITA, 00137
Almawave SpA is an Italian player in artificial intelligence and natural language analysis. It brings breed technologies and exhaustive Big data-oriented services to support the digital enhancement of enterprises and public administrations. The company's platform leverages cutting-edge proprietary technologies and applied services for Big Data, Data Science, Machine Learning, AI Architecture, and Integration, to interpret text and voice in over 30 languages, interacting in multi-channel mode, analyzing data and information with a view to knowledge development and automation.

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