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


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What is Cloudia Research SpA Debt-to-Revenue?

Debt-to-Revenue measures a company's ability to pay off its debt.

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 annualized Revenue for the quarter that ended in Dec. 2023 was €8.36 Mil. Cloudia Research SpA's annualized Debt-to-Revenue for the quarter that ended in Dec. 2023 was 0.00.

Cloudia Research SpA Debt-to-Revenue Historical Data

The historical data trend for Cloudia Research SpA's Debt-to-Revenue 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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Cloudia Research SpA Debt-to-Revenue Chart

Cloudia Research SpA Annual Data
Trend Dec21 Dec22 Dec23
Debt-to-Revenue
0.42 0.21 -

Cloudia Research SpA Semi-Annual Data
Dec21 Jun22 Dec22 Jun23 Dec23
Debt-to-Revenue N/A - 0.18 0.13 -

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

For the Information Technology Services subindustry, Cloudia Research SpA's Debt-to-Revenue, along with its competitors' market caps and Debt-to-Revenue 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-Revenue Distribution in the Software Industry

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

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


Cloudia Research SpA Debt-to-Revenue Calculation

Debt-to-Revenue measures a company's ability to pay off its debt.

Cloudia Research SpA's Debt-to-Revenue for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(0 + 0) / 7.133
=0.00

Cloudia Research SpA's annualized Debt-to-Revenue for the quarter that ended in Dec. 2023 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(0 + 0) / 8.36
=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.

In the calculation of annual Debt-to-Revenue, the Revenue of the last fiscal year is used. In calculating the annualized quarterly data, the Revenue data used here is two times the quarterly (Dec. 2023) Revenue data.

Cloudia Research SpA Debt-to-Revenue 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-Revenue
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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