Datametrex Ai Stock EBITDA
DM Stock | CAD 0.01 0.00 0.00% |
Datametrex AI fundamentals help investors to digest information that contributes to Datametrex's financial success or failures. It also enables traders to predict the movement of Datametrex Stock. The fundamental analysis module provides a way to measure Datametrex's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Datametrex stock.
Last Reported | Projected for Next Year | ||
EBITDA | -6.3 M | -6 M |
Datametrex | EBITDA |
Datametrex AI Company EBITDA Analysis
Datametrex's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
Current Datametrex EBITDA | (6.31 M) |
Most of Datametrex's fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Datametrex AI is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Datametrex EBITDA Driver Correlations
Understanding the fundamental principles of building solid financial models for Datametrex is extremely important. It helps to project a fair market value of Datametrex Stock properly, considering its historical fundamentals such as EBITDA. Since Datametrex's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Datametrex's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Datametrex's interrelated accounts and indicators.
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In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
Competition |
Datametrex Ebitda
According to the company disclosure, Datametrex AI reported earnings before interest,tax, depreciation and amortization of (6.31 Million). This is 100.68% lower than that of the IT Services sector and 100.43% lower than that of the Information Technology industry. The ebitda for all Canada stocks is 100.16% higher than that of the company.
Datametrex EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Datametrex's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Datametrex could also be used in its relative valuation, which is a method of valuing Datametrex by comparing valuation metrics of similar companies.Datametrex is currently under evaluation in ebitda category among its peers.
Datametrex Current Valuation Drivers
We derive many important indicators used in calculating different scores of Datametrex from analyzing Datametrex's financial statements. These drivers represent accounts that assess Datametrex's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Datametrex's important valuation drivers and their relationship over time.
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Market Cap | 4.5M | 35.6M | 50.1M | 29.0M | 6.0M | 5.7M | |
Enterprise Value | 4.8M | 34.1M | 34.9M | 24.6M | 10.8M | 11.7M |
Datametrex Fundamentals
Return On Equity | -0.82 | ||||
Return On Asset | -0.24 | ||||
Profit Margin | (2.12) % | ||||
Operating Margin | (0.61) % | ||||
Current Valuation | 7.6 M | ||||
Shares Outstanding | 603.98 M | ||||
Shares Owned By Insiders | 2.94 % | ||||
Number Of Shares Shorted | 91.26 K | ||||
Price To Book | 3.30 X | ||||
Price To Sales | 0.37 X | ||||
Revenue | 7.8 M | ||||
Gross Profit | 2.99 M | ||||
EBITDA | (6.31 M) | ||||
Net Income | (19.14 M) | ||||
Cash And Equivalents | 66.3 K | ||||
Total Debt | 5.19 M | ||||
Debt To Equity | 16.10 % | ||||
Current Ratio | 0.27 X | ||||
Book Value Per Share | 0 X | ||||
Cash Flow From Operations | (7.03 M) | ||||
Short Ratio | 0.09 X | ||||
Earnings Per Share | (0.07) X | ||||
Target Price | 0.08 | ||||
Beta | 2.56 | ||||
Market Capitalization | 3.02 M | ||||
Total Asset | 12.71 M | ||||
Retained Earnings | (64.78 M) | ||||
Working Capital | 6.22 M | ||||
Net Asset | 12.71 M |
About Datametrex Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Datametrex AI's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datametrex using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datametrex AI based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Additional Tools for Datametrex Stock Analysis
When running Datametrex's price analysis, check to measure Datametrex's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Datametrex is operating at the current time. Most of Datametrex's value examination focuses on studying past and present price action to predict the probability of Datametrex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datametrex's price. Additionally, you may evaluate how the addition of Datametrex to your portfolios can decrease your overall portfolio volatility.