Sangoma Total Operating Expenses from 2010 to 2024

SANG Stock  USD 6.10  0.15  2.40%   
Sangoma Technologies' Total Operating Expenses is increasing over the last several years with slightly volatile swings. Total Operating Expenses is estimated to finish at about 181.5 M this year. Total Operating Expenses is the total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses. View All Fundamentals
 
Total Operating Expenses  
First Reported
1997-06-30
Previous Quarter
41.6 M
Current Value
41.2 M
Quarterly Volatility
13.8 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Sangoma Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Sangoma Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 47.4 M, Total Revenue of 259.6 M or Gross Profit of 141.6 M, as well as many indicators such as Price To Sales Ratio of 2.7 K, Dividend Yield of 2.0E-4 or Days Sales Outstanding of 182. Sangoma financial statements analysis is a perfect complement when working with Sangoma Technologies Valuation or Volatility modules.
  
Check out the analysis of Sangoma Technologies Correlation against competitors.

Latest Sangoma Technologies' Total Operating Expenses Growth Pattern

Below is the plot of the Total Operating Expenses of Sangoma Technologies Corp over the last few years. It is the total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses. Sangoma Technologies' Total Operating Expenses historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Sangoma Technologies' overall financial position and show how it may be relating to other accounts over time.
Total Operating Expenses10 Years Trend
Slightly volatile
   Total Operating Expenses   
       Timeline  

Sangoma Total Operating Expenses Regression Statistics

Arithmetic Mean63,651,321
Geometric Mean24,885,888
Coefficient Of Variation113.14
Mean Deviation61,294,841
Median20,161,863
Standard Deviation72,012,869
Sample Variance5185.9T
Range181.1M
R-Value0.90
Mean Square Error1054.6T
R-Squared0.81
Slope14,502,662
Total Sum of Squares72601.9T

Sangoma Total Operating Expenses History

2024181.5 M
2023172.8 M
2022175.8 M
2021162.4 M
202085.5 M
201954.7 M
201845.3 M

About Sangoma Technologies Financial Statements

Sangoma Technologies stakeholders use historical fundamental indicators, such as Sangoma Technologies' Total Operating Expenses, to determine how well the company is positioned to perform in the future. Although Sangoma Technologies investors may analyze each financial statement separately, they are all interrelated. For example, changes in Sangoma Technologies' assets and liabilities are reflected in the revenues and expenses on Sangoma Technologies' income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Sangoma Technologies Corp. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Total Operating Expenses172.8 M181.5 M

Currently Active Assets on Macroaxis

When determining whether Sangoma Technologies Corp is a strong investment it is important to analyze Sangoma Technologies' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Sangoma Technologies' future performance. For an informed investment choice regarding Sangoma Stock, refer to the following important reports:
Check out the analysis of Sangoma Technologies Correlation against competitors.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Sangoma Technologies. If investors know Sangoma will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Sangoma Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.25)
Revenue Per Share
7.335
Quarterly Revenue Growth
(0.05)
Return On Assets
(0)
Return On Equity
(0.03)
The market value of Sangoma Technologies Corp is measured differently than its book value, which is the value of Sangoma that is recorded on the company's balance sheet. Investors also form their own opinion of Sangoma Technologies' value that differs from its market value or its book value, called intrinsic value, which is Sangoma Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Sangoma Technologies' market value can be influenced by many factors that don't directly affect Sangoma Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Sangoma Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Sangoma Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sangoma Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.