Valuation: NetraMark Holdings Inc.

Market Cap 76.05M 53.62M 47.03M 43.42M 40.13M 5.13B 77.58M 522M 203M 2.51B 201M 197M 8.72B P/E 2026 *
-
P/E 2027 * -
Enterprise Value 76.05M 53.62M 47.03M 43.42M 40.13M 5.13B 77.58M 522M 203M 2.51B 201M 197M 8.72B EV / Sales 2026 *
190x
EV / Sales 2027 * -
Free-Float
91.14%
Yield 2026 *
-
Yield 2027 * -
Manager TitleAgeSince
Chief Executive Officer - 2022-02-16
President - 2022-07-03
Director of Finance/CFO 57 2022-07-17
Director TitleAgeSince
Chairman 40 2025-06-08
Director/Board Member - -
Director/Board Member - 2022-06-15
Change 5-day change 1-year change 3-year change Capi.($)
-.--%-3.77% - - 54.9M
-1.41%-0.24%-22.81%+13.68% 2,888B
-1.60%+5.16%-5.36%+761.93% 322B
+1.84%-4.83%+288.04%+977.72% 128B
+0.81%-0.97%+15.71%+64.86% 102B
+1.67%-1.28%+78.90%+166.36% 91.41B
-0.49%-4.41%-21.22%+0.74% 83.61B
+1.04%+2.91%-29.37%+91.54% 63.84B
-2.49%+0.42%+4.50%+75.56% 47.86B
-2.80%-4.88%-47.47%+33.95% 40.6B
Average -0.00%+2.37%+28.99%+242.93% 418.73B
Weighted average by Cap. +0.25%+1.19%-7.21%+117.59%

Financials

2026 *2027 *
Net sales 401K 283K 248K 229K 212K 27.07M 409K 2.75M 1.07M 13.25M 1.06M 1.04M 45.98M -
Net income - -
Net Debt - -
Logo NetraMark Holdings Inc.
NetraMark Holdings Inc. is a Canada-based company, which is focused on the development of Generative Artificial Intelligence (Gen AI)/Machine Learning (ML) solutions targeted at the pharmaceutical industry. The Company’s product offering uses a novel topology-based algorithm that has the ability to parse patient data sets into subsets of people that are strongly related according to several variables simultaneously. This allows the Company to use a variety of ML methods, depending on the character and size of the data, to transform the data into powerfully intelligent data that activates traditional AI/ML methods. The result is that it can work with smaller datasets and accurately segment diseases into different types, as well as accurately classify patients for sensitivity to drugs and/or efficacy of treatment. The typical molecular data used is RNASeq, microarray, single nucleotide polymorphism (SNP) and methylation.
Employees
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Quarterly revenue - Rate of surprise