Seeing Machines Limited Stock Current Liabilities

SEEMF Stock  USD 0.06  0.01  17.96%   
Seeing Machines Limited fundamentals help investors to digest information that contributes to Seeing Machines' financial success or failures. It also enables traders to predict the movement of Seeing Pink Sheet. The fundamental analysis module provides a way to measure Seeing Machines' 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 Seeing Machines pink sheet.
  
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Seeing Machines Limited Company Current Liabilities Analysis

Seeing Machines' Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.

Current Liabilities

 = 

Payables

+

Accrued Debt

More About Current Liabilities | All Equity Analysis

Current Seeing Machines Current Liabilities

    
  4 M  
Most of Seeing Machines' fundamental indicators, such as Current Liabilities, 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, Seeing Machines Limited is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
Competition

In accordance with the recently published financial statements, Seeing Machines Limited has a Current Liabilities of 4 M. This is 99.98% lower than that of the Technology sector and significantly higher than that of the Software—Infrastructure industry. The current liabilities for all United States stocks is 99.95% higher than that of the company.

Seeing Current Liabilities Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Seeing Machines' direct or indirect competition against its Current Liabilities to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Seeing Machines could also be used in its relative valuation, which is a method of valuing Seeing Machines by comparing valuation metrics of similar companies.
Seeing Machines is currently under evaluation in current liabilities category among its peers.

Seeing Fundamentals

About Seeing Machines Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Seeing Machines Limited's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Seeing Machines using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Seeing Machines Limited 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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Other Information on Investing in Seeing Pink Sheet

Seeing Machines financial ratios help investors to determine whether Seeing Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Seeing with respect to the benefits of owning Seeing Machines security.