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Valuation: NetraMark Holdings Inc.

Market Cap 7.23Cr 5.17Cr 4.46Cr 4.1Cr 3.85Cr 488.93Cr 7.31Cr 48Cr 19Cr 239.43Cr 19Cr 19Cr 829.75Cr P/E Ratio 2026 *
-
P/E Ratio 2027 * -
Enterprise Value 7.23Cr 5.17Cr 4.46Cr 4.1Cr 3.85Cr 488.93Cr 7.31Cr 48Cr 19Cr 239.43Cr 19Cr 19Cr 829.75Cr EV / Sales 2026 *
180x
EV / Sales 2027 * -
Free-Float
89.03%
Yield 2026 *
-
Yield 2027 * -
1 week-7.14%
Current month-12.36%
1 month-12.36%
3 months-25.71%
6 months-32.17%
Current year-29.09%
1 week 0.69
Extreme 0.69
0.85
1 month 0.69
Extreme 0.69
0.95
Current year 0.68
Extreme 0.68
1.28
1 year 0.68
Extreme 0.68
1.8
3 years 0.16
Extreme 0.155
1.8
5 years 0.15
Extreme 0.15
2.85
10 years 0.15
Extreme 0.15
3.17
Manager TitleAgeSince
Chief Executive Officer - 17/02/2022
President - 04/07/2022
Director of Finance/CFO 57 18/07/2022
Director TitleAgeSince
Chairman 40 09/06/2025
Director/Board Member - -
Director/Board Member - 16/06/2022
Date Insider Type Main position Quantity % Market Cap.
14/04Sell

Chief Technology Officer

14,286 0.0154%
13/04Tax

Chairperson

4,34,178 0.4686%
09/04Tax

Chairperson

4,34,208 0.4687%
Change 5-day change 1-year change 3-year change Capi.($)
0.00%-7.14%-43.88%+136.36% 5.18Cr
-1.48%-2.37%-17.80%+15.04% 2,97000Cr
-1.08%+0.89%-5.77%+717.48% 32TCr
-2.10%+2.91%+225.90%+773.87% 12TCr
-1.69%-0.78%+28.94%+64.45% 11TCr
-1.32%-3.63%-6.47%+1.63% 8.7TCr
-0.85%+1.66%+89.54%+141.37% 8.3TCr
+0.17%+2.29%-45.12%+39.84% 5.31TCr
+6.35%+8.45%-3.62%+65.88% 4.01TCr
+8.06%+14.74%-50.88%+18.04% 3.27TCr
Average +0.17%+1.71%+17.08%+197.40% 38.21TCr
Weighted average by Cap. -0.30%-1.41%-5.48%+103.77%

Financials

2026 *2027 *
Net sales 4L 3L 2L 2L 2L 2.71Cr 4L 26.88L 10.47L 1.33Cr 10.76L 10.53L 4.6Cr -
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
-
Date Price Change Volume
16/26/16 0.7800 $ 0.00% 52,918
15/26/15 0.7800 $ -3.70% 34,792
12/26/12 0.8100 $ 0.00% 4,252
11/26/11 0.8100 $ -3.57% 2,160
10/26/10 0.8400 $ 0.00% 83,629

Quarterly revenue - Rate of surprise

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