Datametrex Net Receivables from 2010 to 2026

Stocks . Canada . 
Stock . Datametrex AI
DM Stock  CAD 0.07  0.01  7.14%   
Datametrex's maintains a accelerating profile with slightly volatile financial swings. It is projected to decline toward approximately 1.3 M. Long-term regression analysis between 2010 to 2026 yielded a r-squared reading of 0.42 . alongside geometric mean of 164,885 . View All Fundamentals
 
Net Receivables  
 First Reported
2011-12-31
 Previous Quarter
1.8 M
 Current Value
2 M
 Quarterly Volatility
3.1 M
Macro event markers
 
Yuan Drop
 
Covid
 
Interest Hikes
Financial statement trends for Datametrex provide structured context on operating performance and capital structure. Key drivers include Selling General Administrative of 3.4 M, Other Operating Expenses of 10.5 M or Total Operating Expenses of 10.6 M along with ratios such as Price To Sales Ratio of 1.05, Dividend Yield of 0.0 or PTB Ratio of 0.6. This view complements Datametrex Valuation and Volatility modules.
  
This page complements Datametrex Technical models with financial statement trends. It provides neutral performance and risk framing without implying direction. Datametrex Correlation provides competitor comparison context for Datametrex. This adds peer-relative context.
The evolution of Net Receivables for Datametrex AI provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Datametrex compares to historical norms and industry peers.

Latest Datametrex's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Datametrex AI over the last few years. It is Datametrex's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Datametrex's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
Compare to OthersAll Fundamentals
   Net Receivables   
       Timeline  

Datametrex Net Receivables Regression Statistics

Arithmetic Mean 1,200,070
Geometric Mean 164,885
Coefficient Of Variation 127.26
Mean Deviation 1,118,346
Median 696,742
Standard Deviation 1,527,156
Sample Variance2.3T
Range5.7M
R-Value 0.64
Mean Square Error1.5T
R-Squared 0.42
Significance 0.01
Slope 194,876
Total Sum of Squares37.3T

Datametrex Net Receivables History

20261.3 M
20251.9 M
20241.7 M
20232.2 M
20223.4 M
20215.7 M
20201.7 M

About Datametrex AI Ltd

Datametrex AI Limited provides notable data and artificial intelligence services primarily in Canada. The company also provides semantic clustering algorithms blockchain technology for the collection, storage, transfer, analysis, and presentation of notable data and industrial scale cryptocurrency mining services. DATAMETREX operates under Information Technology Services classification in Canada and is traded on TSX Venture Exchange. The stock overview for Datametrex summarizes business drivers, financial profile, and market behavior. The company is positioned within IT Consulting & Other Services, Information Technology Services, Information Technology. Current metrics include P/B of 5.26, profit margin of -99.92%. Datametrex has a market cap of 2.43 M, ROE of -55.96%.

Methodology

Unless otherwise specified, financial data for Datametrex AI is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Datametrex (CA:DM) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report is built using public filings and market reference sources and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Normalization for analytical consistency may introduce small timing offsets. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Analyst Sources

Datametrex AI may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.

Datametrex Stock is Curated By:

Raphi ShpitalnikRaphi Shpitalnik ยท Junior Member of Macroaxis Editorial Board

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