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Neural Group (TSE:4056) Debt-to-Revenue : N/A (As of Dec. 2024)


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What is Neural Group Debt-to-Revenue?

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

Neural Group's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was 円1,121 Mil. Neural Group's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was 円755 Mil. Neural Group's annualized Revenue for the quarter that ended in Dec. 2024 was 円0 Mil.


Neural Group Debt-to-Revenue Historical Data

The historical data trend for Neural Group'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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Neural Group Debt-to-Revenue Chart

Neural Group Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Debt-to-Revenue
Get a 7-Day Free Trial 0.74 0.95 0.99 0.76 0.53

Neural Group Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 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 Premium Member Only Premium Member Only 0.78 0.62 0.70 0.59 N/A

Competitive Comparison of Neural Group's Debt-to-Revenue

For the Information Technology Services subindustry, Neural Group'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.


Neural Group's Debt-to-Revenue Distribution in the Software Industry

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

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


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Neural Group Debt-to-Revenue Calculation

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

Neural Group'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
=(1120.615 + 755.413) / 3564.789
=0.53

Neural Group'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
=(1120.615 + 755.413) / 0
=N/A

* 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.


Neural Group Debt-to-Revenue Related Terms

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Neural Group Business Description

Traded in Other Exchanges
N/A
Address
1-1-2, Yurakucho, Hibiya Mitsui Tower 32F, Tokyo Midtown Hibiya, Tokyo, Chiyoda-ku, JPN, 100-0006
Neural Group Inc offers solutions using image and video analysis technology based on proprietary AI algorithms and edge computing technology. The company develops and owns various AI technologies such as object detection in images and videos, classification, spatial recognition, human body/movement analysis, and facial expression/browsing analysis.

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