SFS Net Income Per Share from 2010 to 2026

SFSN Stock  CHF 122.20  0.20  0.16%   
SFS Group Net Income Per Share yearly trend continues to be fairly stable with very little volatility. Net Income Per Share will likely drop to 3.87 in 2026. During the period from 2010 to 2026, SFS Group Net Income Per Share regression line of quarterly data had mean square error of  1.02 and geometric mean of  4.16. View All Fundamentals
 
Net Income Per Share  
First Reported
2010-12-31
Previous Quarter
5.59
Current Value
3.87
Quarterly Volatility
1.61192057
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check SFS Group financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among SFS Group's main balance sheet or income statement drivers, such as Depreciation And Amortization of 94.9 M, Interest Expense of 22.7 M or Selling General Administrative of 266.4 M, as well as many indicators such as Price To Sales Ratio of 2.09, Dividend Yield of 0.0149 or PTB Ratio of 2.14. SFS financial statements analysis is a perfect complement when working with SFS Group Valuation or Volatility modules.
  
This module can also supplement various SFS Group Technical models . Check out the analysis of SFS Group Correlation against competitors.
The evolution of Net Income Per Share for SFS Group AG provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how SFS Group compares to historical norms and industry peers.

Latest SFS Group's Net Income Per Share Growth Pattern

Below is the plot of the Net Income Per Share of SFS Group AG over the last few years. It is SFS Group's Net Income Per Share historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in SFS Group's overall financial position and show how it may be relating to other accounts over time.
Net Income Per Share10 Years Trend
Slightly volatile
   Net Income Per Share   
       Timeline  

SFS Net Income Per Share Regression Statistics

Arithmetic Mean4.44
Geometric Mean4.16
Coefficient Of Variation36.30
Mean Deviation1.42
Median4.24
Standard Deviation1.61
Sample Variance2.60
Range4.2854
R-Value0.79
Mean Square Error1.02
R-Squared0.63
Significance0.0001
Slope0.25
Total Sum of Squares41.57

SFS Net Income Per Share History

2026 3.87
2025 5.59
2024 6.21
2023 6.84
2022 6.95
2021 6.51
2020 4.9

About SFS Group Financial Statements

SFS Group investors use historical fundamental indicators, such as SFS Group's Net Income Per Share, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in SFS Group. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Net Income Per Share 5.59  3.87 

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for SFS Stock Analysis

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