Picture of NetraMark Holdings logo

AIAI NetraMark Holdings Share Price

0.000.00%
ca flag iconLast trade - 00:00
TechnologySpeculativeMicro CapSucker Stock

Momentum

Relative Strength (%)
1m+10.63%
3m+5.43%
6m-16.84%
1yr-14.34%
Volume Change (%)
10d/3m+107.13%
Price vs... (%)
52w High-40.82%
50d MA-1.41%
200d MA-10.7%

Growth & Value

12m Forecast RollingIndustryMarket
PE Ratio (f)n/a
PEG Ratio (f)n/a
EPS Growth (f)n/a
Dividend Yield (f)n/a
Valuation (ttm)IndustryMarket
Price to Book Value88.67
Price to Tang. Book88.67
Price to Free Cashflown/a
Price to Sales88.95
EV to EBITDAn/a

Shareholder Activity

TypeBuy / Hold / Sell
Institutions
Directors
Community

Guru Screens

Quality

NameIndustryMarket
Return on Capital-5479.99%
Return on Equity-291.74%
Operating Margin-5503.93%

Health Trend(F-Score)

12345678910

Bankruptcy Score(Z-Score)

Distress
Cautious
Safe

Earnings Manipulation Risk(M-Score)

Other Ratios

Leverage (ttm)Total- Intang+ Pension
Gross Gearing
Net Gearing
Cash / Assets

Recent History

Latest interim period vs. prior periodIndustryMarket
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EPS Growth
3yr Compound Annual Growth RateIndustryMarket
Sales CAGR
EPS CAGR
DPS CAGR

Graphical History

Revenue
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Net Income
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Normalised EPS
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PE Ratio Range
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Dividend Yield Range
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Analyst Forecasts

Price target
( price)
30th Sep 202430th Sep 2025
Est. Long Term Growth Rate: Net Profit
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EPS
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DPS
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Consensus Estimate
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Analyst Consensus

Strong SellSellHoldBuyStrong Buy

EPS 2024 / 2025

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Profile Summary

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.

Directors

    Last Annual
    September 30th, 2023
    Last Interim
    March 31st, 2024
    Incorporated
    May 8th, 2019
    Public Since
    June 8th, 2021
    Sector
    Software & IT Services
    Industry
    Technology
    Exchange
    ca flag iconCanadian Securities Exchange
    Shares in Issue
    68,102,308

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