Sapiens Short Long Term Debt Total from 2010 to 2024

SPNS Stock  USD 27.49  0.24  0.87%   
Sapiens International Short and Long Term Debt Total yearly trend continues to be comparatively stable with very little volatility. Short and Long Term Debt Total will likely drop to about 47.3 M in 2024. From the period from 2010 to 2024, Sapiens International Short and Long Term Debt Total quarterly data regression had r-value of  0.69 and coefficient of variation of  86.75. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
1996-12-31
Previous Quarter
63.1 M
Current Value
63 M
Quarterly Volatility
45 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Sapiens International financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Sapiens International's main balance sheet or income statement drivers, such as Depreciation And Amortization of 16.4 M, Interest Expense of 323 K or Total Revenue of 540.3 M, as well as many indicators such as Price To Sales Ratio of 3.58, Dividend Yield of 0.0294 or PTB Ratio of 1.98. Sapiens financial statements analysis is a perfect complement when working with Sapiens International Valuation or Volatility modules.
  
Check out the analysis of Sapiens International Correlation against competitors.
For more information on how to buy Sapiens Stock please use our How to Invest in Sapiens International guide.

Latest Sapiens International's Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Sapiens International over the last few years. It is Sapiens International's Short and Long Term Debt Total historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Sapiens International's overall financial position and show how it may be relating to other accounts over time.
Short Long Term Debt Total10 Years Trend
Slightly volatile
   Short Long Term Debt Total   
       Timeline  

Sapiens Short Long Term Debt Total Regression Statistics

Arithmetic Mean64,961,700
Geometric Mean41,190,997
Coefficient Of Variation86.75
Mean Deviation48,763,346
Median47,309,507
Standard Deviation56,353,866
Sample Variance3175.8T
Range166.2M
R-Value0.69
Mean Square Error1798T
R-Squared0.47
Significance0
Slope8,678,027
Total Sum of Squares44460.6T

Sapiens Short Long Term Debt Total History

202447.3 M
202387 M
2022116.6 M
2021148.4 M
2020177.2 M
2019120.5 M
201878.5 M

About Sapiens International Financial Statements

Sapiens International shareholders use historical fundamental indicators, such as Short Long Term Debt Total, to determine how well the company is positioned to perform in the future. Although Sapiens International investors may analyze each financial statement separately, they are all interrelated. The changes in Sapiens International's assets and liabilities, for example, are also reflected in the revenues and expenses on on Sapiens International's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Short and Long Term Debt Total87 M47.3 M

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Additional Tools for Sapiens Stock Analysis

When running Sapiens International's price analysis, check to measure Sapiens International'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 Sapiens International is operating at the current time. Most of Sapiens International's value examination focuses on studying past and present price action to predict the probability of Sapiens International's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sapiens International's price. Additionally, you may evaluate how the addition of Sapiens International to your portfolios can decrease your overall portfolio volatility.