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BCHPY (BrainChip Holdings) Debt-to-Revenue : 6.39 (As of Jun. 2024)


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What is BrainChip Holdings Debt-to-Revenue?

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

BrainChip Holdings's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Jun. 2024 was $0.46 Mil. BrainChip Holdings's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Jun. 2024 was $0.91 Mil. BrainChip Holdings's annualized Revenue for the quarter that ended in Jun. 2024 was $0.21 Mil. BrainChip Holdings's annualized Debt-to-Revenue for the quarter that ended in Jun. 2024 was 6.39.


BrainChip Holdings Debt-to-Revenue Historical Data

The historical data trend for BrainChip 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.

* Premium members only.

BrainChip Holdings Debt-to-Revenue Chart

BrainChip Holdings Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-Revenue
Get a 7-Day Free Trial Premium Member Only Premium Member Only 13.18 4.84 1.16 0.40 7.32

BrainChip Holdings Semi-Annual Data
Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24
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 0.20 4.27 7.73 7.32 6.39

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

For the Semiconductors subindustry, BrainChip 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.


BrainChip Holdings's Debt-to-Revenue Distribution in the Semiconductors Industry

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

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



BrainChip Holdings Debt-to-Revenue Calculation

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

BrainChip Holdings'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
=(0.481 + 1.216) / 0.232
=7.31

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

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(0.459 + 0.908) / 0.214
=6.39

* 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 (Jun. 2024) Revenue data.


BrainChip Holdings Debt-to-Revenue Related Terms

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BrainChip Holdings Business Description

Traded in Other Exchanges
Address
Level 12, 225 George Street, Sydney, NSW, AUS, 2000
BrainChip Holdings Ltd is engaged in neuromorphic computing. Neuromorphic computing is a branch of artificial intelligence (AI) that simulates the functionality of the human neuron. The company has developed a revolutionary spiking neural network (SNN) technology, a type of neuromorphic computing that learns autonomously, evolves, and associates information just like the human brain. It operates through one segment namely, the technological development of designs. The company's products include Akida IP, Meta TF, Akida1000, and others.