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AutoStore Holdings (FRA:1IG) Debt-to-Revenue : 0.73 (As of Dec. 2024)


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What is AutoStore Holdings Debt-to-Revenue?

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

AutoStore Holdings's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was €11.2 Mil. AutoStore Holdings's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was €448.6 Mil. AutoStore Holdings's annualized Revenue for the quarter that ended in Dec. 2024 was €629.5 Mil. AutoStore Holdings's annualized Debt-to-Revenue for the quarter that ended in Dec. 2024 was 0.73.


AutoStore Holdings Debt-to-Revenue Historical Data

The historical data trend for AutoStore Holdings'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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AutoStore Holdings Debt-to-Revenue Chart

AutoStore Holdings Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Debt-to-Revenue
Get a 7-Day Free Trial 3.95 1.39 0.78 0.76 0.80

AutoStore Holdings Quarterly Data
Dec19 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
Debt-to-Revenue 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 0.70 0.87 0.80 0.88 0.73

Competitive Comparison of AutoStore Holdings's Debt-to-Revenue

For the Computer Hardware subindustry, AutoStore Holdings'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.


AutoStore Holdings's Debt-to-Revenue Distribution in the Hardware Industry

For the Hardware industry and Technology sector, AutoStore Holdings's Debt-to-Revenue distribution charts can be found below:

* The bar in red indicates where AutoStore Holdings's Debt-to-Revenue falls into.


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AutoStore Holdings Debt-to-Revenue Calculation

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

AutoStore Holdings's Debt-to-Revenue for the fiscal year that ended in Dec. 2024 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(11.174 + 448.564) / 574.337
=0.80

AutoStore Holdings's annualized Debt-to-Revenue for the quarter that ended in Dec. 2024 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(11.174 + 448.564) / 629.536
=0.73

* 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 four times the quarterly (Dec. 2024) Revenue data.


AutoStore Holdings Debt-to-Revenue Related Terms

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AutoStore Holdings Business Description

Address
Stokkastrandvegen 85, Nedre Vats, NOR, 5578
AutoStore Holdings Ltd a robot technology company which provides automated storage and retrieval systems and warehouse management and control systems through third-party distributors. The systems offered by the company include Robots, Grid, Bins, Controller, Workstations and WMS.

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