Fluor Inventory Turnover from 2010 to 2024
| FLR Stock | USD 55.25 0.68 1.22% |
Inventory Turnover | First Reported 2010-12-31 | Previous Quarter 16.17 | Current Value 20.48 | Quarterly Volatility 22.17045087 |
Check Fluor financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Fluor's main balance sheet or income statement drivers, such as Depreciation And Amortization of 77.7 M, Interest Expense of 57 M or Total Revenue of 17.7 B, as well as many indicators such as Price To Sales Ratio of 0.28, Dividend Yield of 0.0047 or PTB Ratio of 2.18. Fluor financial statements analysis is a perfect complement when working with Fluor Valuation or Volatility modules.
Fluor | Inventory Turnover |
Latest Fluor's Inventory Turnover Growth Pattern
Below is the plot of the Inventory Turnover of Fluor 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. Fluor's Inventory Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Fluor's overall financial position and show how it may be relating to other accounts over time.
| Inventory Turnover | 10 Years Trend |
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Inventory Turnover |
| Timeline |
Fluor Inventory Turnover Regression Statistics
| Arithmetic Mean | 20.44 | |
| Coefficient Of Variation | 108.49 | |
| Mean Deviation | 13.95 | |
| Median | 13.74 | |
| Standard Deviation | 22.17 | |
| Sample Variance | 491.53 | |
| Range | 87.1134 | |
| R-Value | (0.19) | |
| Mean Square Error | 510.67 | |
| R-Squared | 0.04 | |
| Significance | 0.50 | |
| Slope | (0.93) | |
| Total Sum of Squares | 6,881 |
Fluor Inventory Turnover History
About Fluor Financial Statements
Fluor shareholders use historical fundamental indicators, such as Inventory Turnover, to determine how well the company is positioned to perform in the future. Although Fluor investors may analyze each financial statement separately, they are all interrelated. The changes in Fluor's assets and liabilities, for example, are also reflected in the revenues and expenses on on Fluor's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Inventory Turnover | 16.17 | 20.48 |
Pair Trading with Fluor
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 Fluor 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 Fluor will appreciate offsetting losses from the drop in the long position's value.Moving together with Fluor Stock
The ability to find closely correlated positions to Fluor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fluor 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 Fluor - 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 Fluor to buy it.
The correlation of Fluor 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 Fluor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fluor 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 Fluor 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.Additional Tools for Fluor Stock Analysis
When running Fluor's price analysis, check to measure Fluor'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 Fluor is operating at the current time. Most of Fluor's value examination focuses on studying past and present price action to predict the probability of Fluor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fluor's price. Additionally, you may evaluate how the addition of Fluor to your portfolios can decrease your overall portfolio volatility.