NetraMark Holdings (XCNQ:AIAI) Long-Term Debt : C$0.00 Mil (As of Mar. 2024)

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What is NetraMark Holdings Long-Term Debt?

NetraMark Holdings's Long-Term Debt for the quarter that ended in Mar. 2024 was C$0.00 Mil.

NetraMark Holdings Long-Term Debt Historical Data

The historical data trend for NetraMark Holdings's Long-Term Debt 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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NetraMark Holdings Long-Term Debt Chart

NetraMark Holdings Annual Data

Trend

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Long-Term Debt

NetraMark Holdings Quarterly Data
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NetraMark Holdings (XCNQ:AIAI) Long-Term Debt Explanation

Long-Term Debt is the sum of the carrying values as of the balance sheet date of all long-term debt, which is debt initially having maturities due after one year or beyond the operating cycle, if longer, but excluding the portions thereof scheduled to be repaid within one year or the normal operating cycle, if longer. Long-Term Debt includes notes payable, bonds payable, mortgage loans, convertible debt, subordinated debt and other types of long term debt.

NetraMark Holdings Long-Term Debt Related Terms

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NetraMark Holdings (XCNQ:AIAI) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » NetraMark Holdings Inc (XCNQ:AIAI) » Definitions » Long-Term Debt

Comparable Companies

Traded in Other Exchanges

AINMF:USA

Address

1655 Dupont Street, Suite 101, Toronto, ON, CAN, M6P 3T1

Website

https://www.nurosene.com

NetraMark Holdings Inc is focused on the application of a totally unique Artificial Intelligence (AI) / Machine Learning (ML) solution targeted at the pharmaceutical industry in order to de-risk clinical trials. NetraMark has a proprietary technology that is capable of cutting through the combinatorial complexity that comes with dealing with heterogeneous patient populations to extract precisely defined personas of patients with respect to placebo and drug response, in addition to tolerability and adverse events. By using the client's own contemporaneous data, and having the capacity to learn from small data, the NetraAI tech extracts these personas to equip pharmaceutical companies with strategies to optimize their next trials for success.

Executives

Andrew Parks

Director

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