ANI Operating Cycle from 2010 to 2026

ANIP Stock  USD 76.28  4.76  5.87%   
ANI Pharmaceuticals Operating Cycle yearly trend continues to be relatively stable with very little volatility. Operating Cycle is likely to drop to 234.32. During the period from 2010 to 2026, ANI Pharmaceuticals Operating Cycle destribution of quarterly values had range of 402 from its regression line and mean deviation of  83.03. View All Fundamentals
 
Operating Cycle  
First Reported
2010-12-31
Previous Quarter
298.14
Current Value
234.32
Quarterly Volatility
113.55982723
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check ANI Pharmaceuticals financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ANI Pharmaceuticals' main balance sheet or income statement drivers, such as Depreciation And Amortization of 81.8 M, Interest Expense of 21.3 M or Selling General Administrative of 301.4 M, as well as many indicators such as Price To Sales Ratio of 1.9, Dividend Yield of 0.0012 or PTB Ratio of 2.72. ANI financial statements analysis is a perfect complement when working with ANI Pharmaceuticals Valuation or Volatility modules.
  
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Check out the analysis of ANI Pharmaceuticals Correlation against competitors.
To learn how to invest in ANI Stock, please use our How to Invest in ANI Pharmaceuticals guide.

Latest ANI Pharmaceuticals' Operating Cycle Growth Pattern

Below is the plot of the Operating Cycle of ANI Pharmaceuticals over the last few years. It is ANI Pharmaceuticals' Operating Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ANI Pharmaceuticals' overall financial position and show how it may be relating to other accounts over time.
Operating Cycle10 Years Trend
Slightly volatile
   Operating Cycle   
       Timeline  

ANI Operating Cycle Regression Statistics

Arithmetic Mean327.76
Geometric Mean304.16
Coefficient Of Variation34.65
Mean Deviation83.03
Median326.16
Standard Deviation113.56
Sample Variance12,896
Range402
R-Value0.38
Mean Square Error11,721
R-Squared0.15
Significance0.13
Slope8.65
Total Sum of Squares206,333

ANI Operating Cycle History

2026 234.32
2025 298.14
2024 331.26
2023 345.12
2022 467.94
2021 513.42
2020 422.35

About ANI Pharmaceuticals Financial Statements

ANI Pharmaceuticals shareholders use historical fundamental indicators, such as Operating Cycle, to determine how well the company is positioned to perform in the future. Although ANI Pharmaceuticals investors may analyze each financial statement separately, they are all interrelated. The changes in ANI Pharmaceuticals' assets and liabilities, for example, are also reflected in the revenues and expenses on on ANI Pharmaceuticals' 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
Operating Cycle 298.14  234.32 

Pair Trading with ANI Pharmaceuticals

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 ANI Pharmaceuticals 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 ANI Pharmaceuticals will appreciate offsetting losses from the drop in the long position's value.

Moving together with ANI Stock

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Moving against ANI Stock

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The ability to find closely correlated positions to ANI Pharmaceuticals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ANI Pharmaceuticals 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 ANI Pharmaceuticals - 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 ANI Pharmaceuticals to buy it.
The correlation of ANI Pharmaceuticals 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 ANI Pharmaceuticals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ANI Pharmaceuticals 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 ANI Pharmaceuticals 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 ANI Stock Analysis

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