Ferrovial Operating Cycle from 2010 to 2026

FER Stock   69.28  3.65  5.00%   
Ferrovial Operating Cycle yearly trend continues to be relatively stable with very little volatility. Operating Cycle is likely to grow to 355.31 this year. During the period from 2010 to 2026, Ferrovial Operating Cycle destribution of quarterly values had range of 1.7 K from its regression line and mean deviation of  184.36. View All Fundamentals
 
Operating Cycle  
First Reported
2010-12-31
Previous Quarter
257.74342772
Current Value
355.31
Quarterly Volatility
407.21613207
 
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 Operating Cycle 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 Operating Cycle Growth Pattern

Below is the plot of the Operating Cycle of Ferrovial SE over the last few years. It is Ferrovial's Operating Cycle 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.
Operating Cycle10 Years Trend
Slightly volatile
   Operating Cycle   
       Timeline  

Ferrovial Operating Cycle Regression Statistics

Arithmetic Mean358.99
Geometric Mean287.81
Coefficient Of Variation113.43
Mean Deviation184.36
Median248.53
Standard Deviation407.22
Sample Variance165,825
Range1.7K
R-Value(0.36)
Mean Square Error153,740
R-Squared0.13
Significance0.15
Slope(29.17)
Total Sum of Squares2.7M

Ferrovial Operating Cycle History

2026 355.31
2025 257.74
2024 248.53
2023 230.23
2022 220.54
2021 211.19
2020 332.58

About Ferrovial Financial Statements

Ferrovial shareholders use historical fundamental indicators, such as Operating Cycle, 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
Operating Cycle 257.74  355.31 

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.