Ferrovial Net Debt from 2010 to 2026
| FER Stock | 68.83 4.10 5.62% |
Net Debt | First Reported 2010-03-31 | Previous Quarter 7.5 B | Current Value 6.5 B | Quarterly Volatility 5.3 B |
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.
Ferrovial | Net Debt | Build AI portfolio with Ferrovial Stock |
Evaluating Ferrovial's Net Debt 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 Net Debt Growth Pattern
Below is the plot of the Net Debt of Ferrovial SE over the last few years. It is the total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. Ferrovial's Net Debt 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.
| Net Debt | 10 Years Trend |
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Net Debt |
| Timeline |
Ferrovial Net Debt Regression Statistics
| Arithmetic Mean | 5,556,882,483 | |
| Geometric Mean | 5,407,326,608 | |
| Coefficient Of Variation | 23.82 | |
| Mean Deviation | 1,066,953,571 | |
| Median | 5,480,000,000 | |
| Standard Deviation | 1,323,783,741 | |
| Sample Variance | 1752403.4T | |
| Range | 5B | |
| R-Value | 0.43 | |
| Mean Square Error | 1525000.9T | |
| R-Squared | 0.18 | |
| Significance | 0.09 | |
| Slope | 112,496,632 | |
| Total Sum of Squares | 28038454.3T |
Ferrovial Net Debt History
Other Fundumenentals of Ferrovial SE
Ferrovial Net Debt component correlations
Click cells to compare fundamentals
About Ferrovial Financial Statements
Ferrovial shareholders use historical fundamental indicators, such as Net Debt, 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 Reported | Projected for Next Year | ||
| Net Debt | 6.5 B | 8.4 B | |
| Net Debt To EBITDA | 3.25 | 3.09 |
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
| 0.84 | 1PM | Primoris Services | PairCorr |
| 0.94 | DY | Dycom Industries Earnings Call Today | PairCorr |
| 0.9 | EM4 | EMCOR Group | PairCorr |
Moving against Ferrovial Stock
| 0.85 | WAA | WAESTBYGG GRUPPEN | PairCorr |
| 0.8 | AB9 | ABO Wind AG | PairCorr |
| 0.76 | NYVF | Italian-Thai Development | PairCorr |
| 0.75 | YIT | YIT Oyj | PairCorr |
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.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.