Mastrad Net Income Applicable To Common Shares from 2010 to 2026

ALMAS Stock  EUR 0.01  0.0002  3.03%   
Mastrad Net Loss yearly trend continues to be relatively stable with very little volatility. Net Loss is likely to drop to about -751.3 K. Net Loss is the net income that remains after preferred dividends have been deducted, available to common shareholders. View All Fundamentals
 
Net Loss  
First Reported
2016-09-30
Previous Quarter
-612 K
Current Value
-644 K
Quarterly Volatility
265.5 K
 
Covid
 
Interest Hikes
Check Mastrad financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Mastrad's main balance sheet or income statement drivers, such as Depreciation And Amortization of 386.8 K, Interest Expense of 53 K or Total Revenue of 418.1 K, as well as many indicators such as Price To Sales Ratio of 3.05, Dividend Yield of 0.0144 or PTB Ratio of 3.7. Mastrad financial statements analysis is a perfect complement when working with Mastrad Valuation or Volatility modules.
  
This module can also supplement various Mastrad Technical models . Check out the analysis of Mastrad Correlation against competitors.
Evaluating Mastrad's Net Income Applicable To Common Shares across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Mastrad's fundamental strength.

Latest Mastrad's Net Income Applicable To Common Shares Growth Pattern

Below is the plot of the Net Income Applicable To Common Shares of Mastrad over the last few years. It is the net income that remains after preferred dividends have been deducted, available to common shareholders. Mastrad's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Mastrad's overall financial position and show how it may be relating to other accounts over time.
Net Income Applicable To Common Shares10 Years Trend
Pretty Stable
   Net Income Applicable To Common Shares   
       Timeline  

Mastrad Net Income Applicable To Common Shares Regression Statistics

Arithmetic Mean(1,403,634)
Geometric Mean1,322,338
Coefficient Of Variation(108.39)
Mean Deviation1,096,345
Median(1,303,000)
Standard Deviation1,521,465
Sample Variance2.3T
Range5.5M
R-Value0.20
Mean Square Error2.4T
R-Squared0.04
Significance0.43
Slope61,337
Total Sum of Squares37T

Mastrad Net Income Applicable To Common Shares History

2026-751.3 K
2025-715.5 K
2023-795 K
2022-1.4 M
2021-1.2 M
2020216 K
2019-1.3 M

About Mastrad Financial Statements

Mastrad shareholders use historical fundamental indicators, such as Net Income Applicable To Common Shares, to determine how well the company is positioned to perform in the future. Although Mastrad investors may analyze each financial statement separately, they are all interrelated. The changes in Mastrad's assets and liabilities, for example, are also reflected in the revenues and expenses on on Mastrad'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
Net Loss-715.5 K-751.3 K

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Additional Tools for Mastrad Stock Analysis

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