Hashicorp Inventory Turnover from 2010 to 2024

HCP Stock  USD 34.14  0.24  0.71%   
Hashicorp Inventory Turnover yearly trend continues to be relatively stable with very little volatility. Inventory Turnover is likely to grow to 2.60 this year. Inventory Turnover is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. View All Fundamentals
 
Inventory Turnover  
First Reported
2010-12-31
Previous Quarter
2.34
Current Value
2.6
Quarterly Volatility
0.26313733
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Hashicorp financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Hashicorp's main balance sheet or income statement drivers, such as Tax Provision of 843.7 K, Depreciation And Amortization of 5.5 M or Interest Expense of 29 M, as well as many indicators such as Price To Sales Ratio of 6.9, Dividend Yield of 0.0 or PTB Ratio of 3.67. Hashicorp financial statements analysis is a perfect complement when working with Hashicorp Valuation or Volatility modules.
  
Check out the analysis of Hashicorp Correlation against competitors.
To learn how to invest in Hashicorp Stock, please use our How to Invest in Hashicorp guide.

Latest Hashicorp's Inventory Turnover Growth Pattern

Below is the plot of the Inventory Turnover of Hashicorp over the last few years. It is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. Hashicorp's Inventory Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Hashicorp's overall financial position and show how it may be relating to other accounts over time.
Inventory Turnover10 Years Trend
Slightly volatile
   Inventory Turnover   
       Timeline  

Hashicorp Inventory Turnover Regression Statistics

Arithmetic Mean2.60
Geometric Mean2.58
Coefficient Of Variation10.13
Mean Deviation0.19
Median2.73
Standard Deviation0.26
Sample Variance0.07
Range0.762
R-Value(0.60)
Mean Square Error0.05
R-Squared0.37
Significance0.02
Slope(0.04)
Total Sum of Squares0.97

Hashicorp Inventory Turnover History

2024 2.6
2023 2.34
2022 2.03
2021 1.97
2020 2.69

About Hashicorp Financial Statements

Hashicorp shareholders use historical fundamental indicators, such as Inventory Turnover, to determine how well the company is positioned to perform in the future. Although Hashicorp investors may analyze each financial statement separately, they are all interrelated. The changes in Hashicorp's assets and liabilities, for example, are also reflected in the revenues and expenses on on Hashicorp'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
Inventory Turnover 2.34  2.60 

Pair Trading with Hashicorp

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

Moving against Hashicorp Stock

  0.53DLO DlocalPairCorr
  0.43BB BlackBerry Earnings Call TodayPairCorr
  0.37CETXP Cemtrex Pref Earnings Call TomorrowPairCorr
  0.37FIVN Five9 IncPairCorr
  0.36NN Nextnav Acquisition CorpPairCorr
The ability to find closely correlated positions to Hashicorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hashicorp 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 Hashicorp - 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 Hashicorp to buy it.
The correlation of Hashicorp 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 Hashicorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hashicorp 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 Hashicorp 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 Hashicorp Stock Analysis

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