Geospace Return On Tangible Assets from 2010 to 2024

GEOS Stock  USD 13.62  1.19  9.57%   
Geospace Technologies Return On Tangible Assets yearly trend continues to be comparatively stable with very little volatility. Return On Tangible Assets are likely to outpace its year average in 2024. Return On Tangible Assets is a profitability metric that measures a company's ability to generate earnings from its tangible assets. View All Fundamentals
 
Return On Tangible Assets  
First Reported
2010-12-31
Previous Quarter
0.0952
Current Value
0.0999
Quarterly Volatility
0.1499136
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Geospace Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Geospace Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 11.5 M, Interest Expense of 146.4 K or Total Revenue of 115.2 M, as well as many indicators such as Price To Sales Ratio of 1.76, Dividend Yield of 0.0 or PTB Ratio of 2.18. Geospace financial statements analysis is a perfect complement when working with Geospace Technologies Valuation or Volatility modules.
  
Check out the analysis of Geospace Technologies Correlation against competitors.
For more information on how to buy Geospace Stock please use our How to Invest in Geospace Technologies guide.

Latest Geospace Technologies' Return On Tangible Assets Growth Pattern

Below is the plot of the Return On Tangible Assets of Geospace Technologies over the last few years. It is a profitability metric that measures a company's ability to generate earnings from its tangible assets. Geospace Technologies' Return On Tangible Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Geospace Technologies' overall financial position and show how it may be relating to other accounts over time.
Return On Tangible Assets10 Years Trend
Pretty Stable
   Return On Tangible Assets   
       Timeline  

Geospace Return On Tangible Assets Regression Statistics

Arithmetic Mean(0.01)
Geometric Mean0.09
Coefficient Of Variation(2,062)
Mean Deviation0.13
Median(0.0008)
Standard Deviation0.15
Sample Variance0.02
Range0.4793
R-Value(0.24)
Mean Square Error0.02
R-Squared0.06
Significance0.39
Slope(0.01)
Total Sum of Squares0.31

Geospace Return On Tangible Assets History

2024 0.0999
2023 0.0952
2022 0.0828
2020 -0.0927
2018 -7.81E-4
2017 -0.1
2016 -0.27

About Geospace Technologies Financial Statements

Geospace Technologies shareholders use historical fundamental indicators, such as Return On Tangible Assets, to determine how well the company is positioned to perform in the future. Although Geospace Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Geospace Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Geospace Technologies' 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 Tangible Assets 0.10  0.10 

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Additional Tools for Geospace Stock Analysis

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