Ultra Net Income from 2010 to 2024

UCTT Stock  USD 37.41  0.08  0.21%   
Ultra Clean Net Loss yearly trend continues to be comparatively stable with very little volatility. Net Loss is likely to outpace its year average in 2024. From the period from 2010 to 2024, Ultra Clean Net Loss quarterly data regression had r-value of  0.09 and coefficient of variation of  183.79. View All Fundamentals
 
Net Loss  
First Reported
2002-03-31
Previous Quarter
19.1 M
Current Value
-2.3 M
Quarterly Volatility
12.4 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Ultra Clean financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ultra Clean's main balance sheet or income statement drivers, such as Depreciation And Amortization of 64.8 M, Interest Expense of 51.2 M or Gross Profit of 291.2 M, as well as many indicators such as Price To Sales Ratio of 1.25, Dividend Yield of 5.0E-4 or PTB Ratio of 2.56. Ultra financial statements analysis is a perfect complement when working with Ultra Clean Valuation or Volatility modules.
  
Check out the analysis of Ultra Clean Correlation against competitors.

Latest Ultra Clean's Net Income Growth Pattern

Below is the plot of the Net Income of Ultra Clean Holdings over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Ultra Clean Holdings financial statement analysis. It represents the amount of money remaining after all of Ultra Clean Holdings operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Ultra Clean's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ultra Clean's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (31.1 M)10 Years Trend
Very volatile
   Net Income   
       Timeline  

Ultra Net Income Regression Statistics

Arithmetic Mean22,640,467
Geometric Mean21,514,696
Coefficient Of Variation183.79
Mean Deviation31,609,627
Median10,424,000
Standard Deviation41,610,385
Sample Variance1731.4T
Range150.6M
R-Value0.09
Mean Square Error1847.8T
R-Squared0.01
Significance0.74
Slope883,211
Total Sum of Squares24239.9T

Ultra Net Income History

2024-29.5 M
2023-31.1 M
202240.4 M
2021119.5 M
202077.6 M
2019-7.6 M
201836.6 M

Other Fundumenentals of Ultra Clean Holdings

Ultra Clean Net Income component correlations

About Ultra Clean Financial Statements

Ultra Clean shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Ultra Clean investors may analyze each financial statement separately, they are all interrelated. The changes in Ultra Clean's assets and liabilities, for example, are also reflected in the revenues and expenses on on Ultra Clean'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-31.1 M-29.5 M
Net Income Applicable To Common Shares46.5 M27.7 M
Net Income From Continuing Ops7.8 M7.4 M
Net Income Per Share 2.75  2.88 
Net Income Per E B T 0.77  0.58 

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Additional Tools for Ultra Stock Analysis

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