Ferrovial Inventory from 2010 to 2026

FER Stock   68.83  4.10  5.62%   
Ferrovial Inventory yearly trend continues to be relatively stable with very little volatility. Inventory is likely to drop to about 509.5 M. During the period from 2010 to 2026, Ferrovial Inventory destribution of quarterly values had range of 682.1 M from its regression line and mean deviation of  112,352,724. View All Fundamentals
 
Inventory  
First Reported
2010-03-31
Previous Quarter
494 M
Current Value
540 M
Quarterly Volatility
110.4 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Ferrovial financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ferrovial's main balance sheet or income statement drivers, such as Depreciation And Amortization of 346.7 M, Interest Expense of 528 M or Selling General Administrative of 1.5 B, as well as many indicators such as Price To Sales Ratio of 4.34, Dividend Yield of 0.0037 or PTB Ratio of 7.07. Ferrovial financial statements analysis is a perfect complement when working with Ferrovial Valuation or Volatility modules.
  
Build AI portfolio with Ferrovial Stock
Check out the analysis of Ferrovial Correlation against competitors.
Evaluating Ferrovial's Inventory across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Ferrovial SE's fundamental strength.

Latest Ferrovial's Inventory Growth Pattern

Below is the plot of the Inventory of Ferrovial SE over the last few years. It is Ferrovial's Inventory historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ferrovial's overall financial position and show how it may be relating to other accounts over time.
Inventory10 Years Trend
Slightly volatile
   Inventory   
       Timeline  

Ferrovial Inventory Regression Statistics

Arithmetic Mean465,611,769
Geometric Mean395,502,298
Coefficient Of Variation34.32
Mean Deviation112,352,724
Median475,000,000
Standard Deviation159,819,712
Sample Variance25542.3T
Range682.1M
R-Value0.54
Mean Square Error19396T
R-Squared0.29
Significance0.03
Slope16,987,413
Total Sum of Squares408677.4T

Ferrovial Inventory History

2026509.5 M
2025540 M
2024492 M
2023458 M
2022475 M
2021405 M
2020691 M

Other Fundumenentals of Ferrovial SE

About Ferrovial Financial Statements

Ferrovial shareholders use historical fundamental indicators, such as Inventory, to determine how well the company is positioned to perform in the future. Although Ferrovial investors may analyze each financial statement separately, they are all interrelated. The changes in Ferrovial's assets and liabilities, for example, are also reflected in the revenues and expenses on on Ferrovial'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
Inventory540 M509.5 M
Inventory Turnover 2.08  3.56 
Days Of Inventory On Hand 175.36  236.91 
Days Of Inventory Outstanding 175.36  236.91 

Pair Trading with Ferrovial

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

Moving together with Ferrovial Stock

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Moving against Ferrovial Stock

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

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