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Cloudia Research SpA (MIL:AGAIN) Debt-to-Asset : 0.00 (As of Dec. 2023)


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What is Cloudia Research SpA Debt-to-Asset?

Cloudia Research SpA's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was €0.00 Mil. Cloudia Research SpA's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was €0.00 Mil. Cloudia Research SpA's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Dec. 2023 was €5.90 Mil. Cloudia Research SpA's debt to asset for the quarter that ended in Dec. 2023 was 0.00.

Cloudia Research SpA Debt-to-Asset Historical Data

The historical data trend for Cloudia Research 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.

Cloudia Research SpA Debt-to-Asset Chart

Cloudia Research SpA Annual Data
Trend Dec21 Dec22 Dec23
Debt-to-Asset
0.39 0.32 -

Cloudia Research SpA Semi-Annual Data
Dec21 Jun22 Dec22 Jun23 Dec23
Debt-to-Asset 0.39 - 0.32 0.21 -

Competitive Comparison of Cloudia Research SpA's Debt-to-Asset

For the Information Technology Services subindustry, Cloudia Research 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.

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

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

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


Cloudia Research SpA Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Cloudia Research 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 + 0) / 5.895
=0.00

Cloudia Research 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 + 0) / 5.895
=0.00

* 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.

Cloudia Research SpA  (MIL:AGAIN) 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.

Cloudia Research SpA Debt-to-Asset Related Terms

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Cloudia Research SpA (MIL:AGAIN) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Cloudia Research SpA (MIL:AGAIN) » Definitions » Debt-to-Asset
Comparable Companies
Traded in Other Exchanges
ZP2:Germany
Address
Via Ettore Ciccotti 3, Milano, ITA, 20161
Website
https://www.cloudiaresearch.com
Cloudia Research SpA operates in the IT sector, providing services aimed at the digital transformation of business activity. It is engaged in digital transformation process, designing and providing innovative and customized solutions that allows to implement automated and interconnected IT management systems, which replace previous systems, improving operational efficiency and competitiveness.

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