Banque Ebitda from 2010 to 2026

BCGE Stock  CHF 28.60  0.10  0.35%   
Banque Cantonale EBITDA yearly trend continues to be fairly stable with very little volatility. EBITDA will likely drop to about 148.5 M in 2026. During the period from 2010 to 2026, Banque Cantonale EBITDA regression line of quarterly data had r-squared of  0.08 and coefficient of variation of  67.79. View All Fundamentals
 
EBITDA  
First Reported
2002-12-31
Previous Quarter
119.8 M
Current Value
104.6 M
Quarterly Volatility
67.4 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Banque Cantonale financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Banque Cantonale's main balance sheet or income statement drivers, such as Depreciation And Amortization of 22.5 M, Interest Expense of 232.7 M or Total Revenue of 416.3 M, as well as many indicators such as Price To Sales Ratio of 2.08, Dividend Yield of 0.0178 or PTB Ratio of 0.88. Banque financial statements analysis is a perfect complement when working with Banque Cantonale Valuation or Volatility modules.
  
This module can also supplement various Banque Cantonale Technical models . Check out the analysis of Banque Cantonale Correlation against competitors.
The evolution of Ebitda for Banque Cantonale de 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 Banque Cantonale compares to historical norms and industry peers.

Latest Banque Cantonale's Ebitda Growth Pattern

Below is the plot of the Ebitda of Banque Cantonale de over the last few years. It is Banque Cantonale's EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Banque Cantonale's overall financial position and show how it may be relating to other accounts over time.
Ebitda10 Years Trend
Slightly volatile
   Ebitda   
       Timeline  

Banque Ebitda Regression Statistics

Arithmetic Mean153,683,351
Coefficient Of Variation67.79
Mean Deviation83,653,670
Median148,509,964
Standard Deviation104,177,831
Sample Variance10853T
Range297.5M
R-Value0.29
Mean Square Error10612.6T
R-Squared0.08
Significance0.26
Slope5,953,004
Total Sum of Squares173648.3T

Banque Ebitda History

2026148.5 M
2025254 M
2024282.2 M
2023292.5 M
2022228.3 M
2021171.2 M
2020143.4 M

About Banque Cantonale Financial Statements

Banque Cantonale investors use historical fundamental indicators, such as Banque Cantonale's Ebitda, 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 Banque Cantonale. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
EBITDA254 M148.5 M

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 Banque Stock Analysis

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