Swisscom Payout Ratio from 2010 to 2026
| SCMN Stock | CHF 700.50 2.00 0.28% |
Payout Ratio | First Reported 2010-12-31 | Previous Quarter 0.67 | Current Value 0.55 | Quarterly Volatility 0.22610793 |
Check Swisscom financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Swisscom's main balance sheet or income statement drivers, such as Depreciation And Amortization of 2.3 B, Interest Expense of 203.3 M or Selling General Administrative of 4.9 B, as well as many indicators such as Price To Sales Ratio of 2.5, Dividend Yield of 0.0346 or PTB Ratio of 4.25. Swisscom financial statements analysis is a perfect complement when working with Swisscom Valuation or Volatility modules.
Swisscom | Payout Ratio |
The evolution of Payout Ratio for Swisscom 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 Swisscom compares to historical norms and industry peers.
Latest Swisscom's Payout Ratio Growth Pattern
Below is the plot of the Payout Ratio of Swisscom AG over the last few years. Payout Ratio is the proportion of Swisscom AG earnings paid out as dividends to shareholders. Payout Ratio is typically expressed as a percentage but can be shown as dividends paid out as a proportion of cash flow. The payout ratio is used to determine the sustainability of Swisscom AG dividend payments. A lower payout ratio is generally preferable to a higher payout ratio, with a ratio greater than 100% indicating Swisscom AG is paying out more in dividends than it makes in net income. It is Swisscom's Payout Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Swisscom's overall financial position and show how it may be relating to other accounts over time.
| Payout Ratio | 10 Years Trend |
|
Payout Ratio |
| Timeline |
Swisscom Payout Ratio Regression Statistics
| Arithmetic Mean | 0.75 | |
| Geometric Mean | 0.73 | |
| Coefficient Of Variation | 30.18 | |
| Mean Deviation | 0.11 | |
| Median | 0.71 | |
| Standard Deviation | 0.23 | |
| Sample Variance | 0.05 | |
| Range | 1.043 | |
| R-Value | (0.43) | |
| Mean Square Error | 0.04 | |
| R-Squared | 0.19 | |
| Significance | 0.08 | |
| Slope | (0.02) | |
| Total Sum of Squares | 0.82 |
Swisscom Payout Ratio History
About Swisscom Financial Statements
Swisscom investors use historical fundamental indicators, such as Swisscom's Payout Ratio, 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 Swisscom. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Payout Ratio | 0.67 | 0.55 | |
| Dividend Payout Ratio | 0.67 | 0.55 |
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 Swisscom Stock Analysis
When running Swisscom's price analysis, check to measure Swisscom'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 Swisscom is operating at the current time. Most of Swisscom's value examination focuses on studying past and present price action to predict the probability of Swisscom's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swisscom's price. Additionally, you may evaluate how the addition of Swisscom to your portfolios can decrease your overall portfolio volatility.