Valuation: NetraMark Holdings Inc.

Market Cap 61.51M 44.28M 38.24M 35.98M 32.7M 4.24B 62.41M 422M 165M 2.12B 166M 163M 7.07B P/E 2026 *
-
P/E 2027 * -
Enterprise Value 61.51M 44.28M 38.24M 35.98M 32.7M 4.24B 62.41M 422M 165M 2.12B 166M 163M 7.07B EV / Sales 2026 *
153x
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% - - 44.28M
+0.33%-2.13%-5.46%+49.72% 3,576B
+0.86%+0.38%+8.83%+1,084.03% 412B
-0.36%-2.86%-9.51%+39.50% 87.17B
-4.69%-2.12%+82.80%+149.02% 88.33B
-0.13%-2.31%-34.27%-7.71% 77.44B
+1.27%-8.82%-34.84%+202.06% 71.21B
+0.83%+0.36%+6.80%+74.75% 45.32B
+5.04%+8.89%+1.70%-8.21% 41.26B
-4.16%-9.64%+115.67%+267.98% 35.64B
Average -0.10%-3.33%+14.64%+205.68% 492.77B
Weighted average by Cap. +0.28%-4.07%-2.26%+150.55%

Financials

2026 *2027 *
Net sales 401K 289K 249K 235K 213K 27.65M 407K 2.75M 1.08M 13.83M 1.08M 1.06M 46.07M -
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