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RKVTF (Rakovina Therapeutics) Debt-to-Revenue : N/A (As of Sep. 2024)


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What is Rakovina Therapeutics Debt-to-Revenue?

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

Rakovina Therapeutics's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Sep. 2024 was $0.00 Mil. Rakovina Therapeutics's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Sep. 2024 was $1.03 Mil. Rakovina Therapeutics's annualized Revenue for the quarter that ended in Sep. 2024 was $0.00 Mil.


Rakovina Therapeutics Debt-to-Revenue Historical Data

The historical data trend for Rakovina Therapeutics'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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Rakovina Therapeutics Debt-to-Revenue Chart

Rakovina Therapeutics Annual Data
Trend Dec21 Dec22 Dec23
Debt-to-Revenue
N/A N/A N/A

Rakovina Therapeutics Quarterly Data
Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
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 N/A N/A N/A N/A N/A

Competitive Comparison of Rakovina Therapeutics's Debt-to-Revenue

For the Biotechnology subindustry, Rakovina Therapeutics'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.


Rakovina Therapeutics's Debt-to-Revenue Distribution in the Biotechnology Industry

For the Biotechnology industry and Healthcare sector, Rakovina Therapeutics's Debt-to-Revenue distribution charts can be found below:

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


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Rakovina Therapeutics Debt-to-Revenue Calculation

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

Rakovina Therapeutics'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 + 0.994) / N/A
=N/A

Rakovina Therapeutics's annualized Debt-to-Revenue for the quarter that ended in Sep. 2024 is calculated as

* 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 (Sep. 2024) Revenue data.


Rakovina Therapeutics Debt-to-Revenue Related Terms

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Rakovina Therapeutics Business Description

Traded in Other Exchanges
Address
595 Burrard Street, P.O. Box 49314, Suite 2600, Three Bentall Centre, Vancouver, BC, CAN, V6B 0A5
Rakovina Therapeutics Inc is engaged in drug discovery research, preclinical and clinical development, and regulatory affairs necessary to advance breakthrough innovations to become potential life-changing treatments in the oncology field. Its oncology pipeline has the potential to deliver biomarker-driven treatments for patients across multiple tumor types. Some of its products in the pipeline include kt-2000 AI, kt-3000 series. Rakovina gained exclusive use of the Deep Docking AI Platform, enabling it to significantly speed up identifying potential drugs for DNA damage response.