Sangoma Technologies Corp Stock Current Liabilities
| STC Stock | 8.57 0.13 1.49% |
Sangoma Technologies Corp fundamentals help investors to digest information that contributes to Sangoma Technologies' financial success or failures. It also enables traders to predict the movement of Sangoma Stock. The fundamental analysis module provides a way to measure Sangoma Technologies' 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 Sangoma Technologies stock.
At this time, Sangoma Technologies' Total Current Liabilities is very stable compared to the past year. As of the 27th of November 2024, Non Current Liabilities Total is likely to grow to about 84.9 M, while Non Current Liabilities Other is likely to drop about 1.1 M. Sangoma | Current Liabilities |
Sangoma Technologies Corp Company Current Liabilities Analysis
Sangoma Technologies' 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.
Sangoma Current Liabilities Driver Correlations
Understanding the fundamental principles of building solid financial models for Sangoma Technologies is extremely important. It helps to project a fair market value of Sangoma Stock properly, considering its historical fundamentals such as Current Liabilities. Since Sangoma Technologies' 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 Sangoma Technologies' 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 Sangoma Technologies' interrelated accounts and indicators.
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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.
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Sangoma Total Current Liabilities
Total Current Liabilities |
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In accordance with the recently published financial statements, Sangoma Technologies Corp has a Current Liabilities of 0.0. This is 100.0% lower than that of the Software sector and about the same as Information Technology (which currently averages 0.0) industry. The current liabilities for all Canada stocks is 100.0% higher than that of the company.
Sangoma Technologies Current Valuation Drivers
We derive many important indicators used in calculating different scores of Sangoma Technologies from analyzing Sangoma Technologies' financial statements. These drivers represent accounts that assess Sangoma Technologies' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Sangoma Technologies' important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 170.6M | 646.3M | 265.9M | 124.4M | 153.8M | 100.0K | |
| Enterprise Value | 199.8M | 713.4M | 375.8M | 228.4M | 226.6M | 165.0K |
Sangoma Fundamentals
| Return On Equity | -0.0311 | ||||
| Return On Asset | -0.0015 | ||||
| Profit Margin | (0.03) % | ||||
| Operating Margin | (0.01) % | ||||
| Current Valuation | 376.09 M | ||||
| Shares Outstanding | 33.54 M | ||||
| Shares Owned By Insiders | 27.66 % | ||||
| Shares Owned By Institutions | 31.20 % | ||||
| Number Of Shares Shorted | 167.36 K | ||||
| Price To Book | 0.79 X | ||||
| Price To Sales | 1.18 X | ||||
| Revenue | 247.28 M | ||||
| Gross Profit | 172.79 M | ||||
| EBITDA | 14.66 M | ||||
| Net Income | (8.66 M) | ||||
| Total Debt | 19.88 M | ||||
| Book Value Per Share | 7.70 X | ||||
| Cash Flow From Operations | 44.25 M | ||||
| Short Ratio | 3.87 X | ||||
| Earnings Per Share | (0.35) X | ||||
| Target Price | 8.58 | ||||
| Number Of Employees | 1.34 K | ||||
| Beta | 1.69 | ||||
| Market Capitalization | 287.42 M | ||||
| Total Asset | 400.64 M | ||||
| Retained Earnings | (141.94 M) | ||||
| Working Capital | (3 M) | ||||
| Net Asset | 400.64 M |
About Sangoma Technologies Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sangoma Technologies Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sangoma Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Sangoma Technologies Corp 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.
Pair Trading with Sangoma Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Sangoma Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Sangoma Technologies will appreciate offsetting losses from the drop in the long position's value.Moving against Sangoma Stock
The ability to find closely correlated positions to Sangoma Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sangoma Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Sangoma Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Sangoma Technologies Corp to buy it.
The correlation of Sangoma Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Sangoma Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sangoma Technologies Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Sangoma Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Sangoma Technologies Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.