Banco Return On Assets from 2010 to 2024

BSBR Stock  USD 4.53  0.16  3.66%   
Banco Santander Return On Assets yearly trend continues to be relatively stable with very little volatility. Return On Assets are likely to grow to 0.01 this year. Return On Assets is a profitability ratio that indicates the percentage of profit Banco Santander Brasil earns in relation to its overall resources. It is calculated by dividing net income by total assets. View All Fundamentals
 
Return On Assets  
First Reported
2010-12-31
Previous Quarter
0.00846976
Current Value
0.0114
Quarterly Volatility
0.00380819
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Banco Santander financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Banco Santander's main balance sheet or income statement drivers, such as Depreciation And Amortization of 2.9 B, Interest Expense of 85.5 B or Selling General Administrative of 13.4 B, as well as many indicators such as Price To Sales Ratio of 5.05, Dividend Yield of 0.0182 or PTB Ratio of 2.88. Banco financial statements analysis is a perfect complement when working with Banco Santander Valuation or Volatility modules.
  
Check out the analysis of Banco Santander Correlation against competitors.

Latest Banco Santander's Return On Assets Growth Pattern

Below is the plot of the Return On Assets of Banco Santander Brasil over the last few years. It is a profitability ratio that indicates the percentage of profit a company earns in relation to its overall resources. It is calculated by dividing net income by total assets. Banco Santander's Return On Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Banco Santander's overall financial position and show how it may be relating to other accounts over time.
Return On Assets10 Years Trend
Very volatile
   Return On Assets   
       Timeline  

Banco Return On Assets Regression Statistics

Arithmetic Mean0.01
Geometric Mean0.01
Coefficient Of Variation27.27
Mean Deviation0
Median0.01
Standard Deviation0
Sample Variance0.000015
Range0.0136
R-Value0.04
Mean Square Error0.000016
R-Squared0
Significance0.88
Slope0.000037
Total Sum of Squares0.0002

Banco Return On Assets History

2024 0.0114
2023 0.00847
2022 0.0145
2021 0.0167
2020 0.0143
2019 0.0215
2018 0.0174

About Banco Santander Financial Statements

Banco Santander shareholders use historical fundamental indicators, such as Return On Assets, to determine how well the company is positioned to perform in the future. Although Banco Santander investors may analyze each financial statement separately, they are all interrelated. The changes in Banco Santander's assets and liabilities, for example, are also reflected in the revenues and expenses on on Banco Santander'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
Return On Assets 0.01  0.01 

Pair Trading with Banco Santander

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Banco Santander position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Banco Santander will appreciate offsetting losses from the drop in the long position's value.

Moving against Banco Stock

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The ability to find closely correlated positions to Banco Santander could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banco Santander when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Banco Santander - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Banco Santander Brasil to buy it.
The correlation of Banco Santander is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Banco Santander moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banco Santander Brasil moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Banco Santander can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Banco Stock Analysis

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