Ai Holdings (TSE:3076) Debt-to-Revenue : 0.03 (As of Mar. 2024)

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What is Ai Holdings Debt-to-Revenue?

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

Ai Holdings's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was 円423 Mil. Ai Holdings's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was 円861 Mil. Ai Holdings's annualized Revenue for the quarter that ended in Mar. 2024 was 円51,808 Mil. Ai Holdings's annualized Debt-to-Revenue for the quarter that ended in Mar. 2024 was 0.02.

Ai Holdings Debt-to-Revenue Historical Data

The historical data trend for Ai 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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Ai Holdings Debt-to-Revenue Chart

Ai Holdings Annual Data

Trend

Jun14

Jun15

Jun16

Jun17

Jun18

Jun19

Jun20

Jun21

Jun22

Jun23

Debt-to-Revenue

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0.04

0.03

Ai Holdings Quarterly Data
	Jun19	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
Debt-to-Revenue	Get a 7-Day Free Trial															0.03	0.03	0.03	0.03	0.03

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

For the Conglomerates subindustry, Ai 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.

Ai Holdings's Debt-to-Revenue Distribution in the Conglomerates Industry

For the Conglomerates industry and Industrials sector, Ai Holdings's Debt-to-Revenue distribution charts can be found below:

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

Ai Holdings Debt-to-Revenue Calculation

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

Ai Holdings's Debt-to-Revenue for the fiscal year that ended in Jun. 2023 is calculated as

Debt-to-Revenue	=	Total Debt			/	Revenue
	=	(Short-Term Debt & Capital Lease Obligation	+	Long-Term Debt & Capital Lease Obligation)	/	Revenue
	=	(440	+	944)	/	46396
	=	0.03

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

Debt-to-Revenue	=	Total Debt			/	Revenue
	=	(Short-Term Debt & Capital Lease Obligation	+	Long-Term Debt & Capital Lease Obligation)	/	Revenue
	=	(423	+	861)	/	51808
	=	0.02

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 (Mar. 2024) Revenue data.

Ai Holdings Debt-to-Revenue Related Terms

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Ai Holdings (TSE:3076) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Industrials » Conglomerates » Ai Holdings Corp (TSE:3076) » Definitions » Debt-to-Revenue

Comparable Companies

Traded in Other Exchanges

N/A

Address

12-8 Nihonbashi Hisamatsucho, Chuo-ku, Tokyo, JPN, 103-0005

Website

http://www.aiholdings.co.jp

Ai Holdings is mainly engaged in information equipment and security equipment businesses. The company has several business segments: security equipment, card equipment, maintenance service, information equipment, measuring device and environmental testing equipment, design, leasing, and installment. The security equipment sector offers surveillance cameras and recorders, as well as services. The card equipment segment offers card-issuing system equipment. The information equipment segment's main products are cutting machines and scanners. The measurement equipment segment offers environmental test equipment that accomodates a wide range of data such as voltage, temperature, humidity, and pulse. The design segment is mainly focused on the earthquake-resistant structural design.

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