Hercules Inventory Turnover from 2010 to 2024

HCXY Stock  USD 25.02  0.03  0.12%   
Hercules Capital Inventory Turnover yearly trend continues to be fairly stable with very little volatility. Inventory Turnover is likely to outpace its year average in 2024. 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
0.1
Current Value
0.11
Quarterly Volatility
1.28191164
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Hercules Capital financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Hercules Capital's main balance sheet or income statement drivers, such as Depreciation And Amortization of 180.5 K, Selling General Administrative of 15.2 M or Other Operating Expenses of 69.4 M, as well as many indicators such as Price To Sales Ratio of 5.25, Dividend Yield of 0.0734 or PTB Ratio of 0.87. Hercules financial statements analysis is a perfect complement when working with Hercules Capital Valuation or Volatility modules.
  
Check out the analysis of Hercules Capital Correlation against competitors.
For more information on how to buy Hercules Stock please use our How to Invest in Hercules Capital guide.

Latest Hercules Capital's Inventory Turnover Growth Pattern

Below is the plot of the Inventory Turnover of Hercules Capital 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. Hercules Capital's Inventory Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Hercules Capital'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  

Hercules Inventory Turnover Regression Statistics

Arithmetic Mean(0.64)
Coefficient Of Variation(201.76)
Mean Deviation1.13
Median0.11
Standard Deviation1.28
Sample Variance1.64
Range3.2622
R-Value0.79
Mean Square Error0.68
R-Squared0.62
Significance0.0005
Slope0.23
Total Sum of Squares23.01

Hercules Inventory Turnover History

2023 0.1
2020 0.11
2017 0.23
2016 0.68
2015 0.18
2014 -1.31

About Hercules Capital Financial Statements

Hercules Capital investors use historical fundamental indicators, such as Hercules Capital's Inventory Turnover, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Hercules Capital. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Inventory Turnover 0.10  0.11 

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Hercules Stock Analysis

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