FactSet Net Working Capital from 2010 to 2024
| FDS Stock | USD 436.04 0.00 0.00% |
Net Working Capital | First Reported 2010-12-31 | Previous Quarter 325.5 M | Current Value 421.4 M | Quarterly Volatility 139.9 M |
Check FactSet Research financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among FactSet main balance sheet or income statement drivers, such as Depreciation And Amortization of 166.3 M, Interest Expense of 80.1 M or Selling General Administrative of 550.8 M, as well as many exotic indicators such as Price To Sales Ratio of 8.07, Dividend Yield of 0.0065 or PTB Ratio of 12.34. FactSet financial statements analysis is a perfect complement when working with FactSet Research Valuation or Volatility modules.
FactSet | Net Working Capital |
Latest FactSet Research's Net Working Capital Growth Pattern
Below is the plot of the Net Working Capital of FactSet Research Systems over the last few years. It is FactSet Research's Net Working Capital historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in FactSet Research's overall financial position and show how it may be relating to other accounts over time.
| Net Working Capital | 10 Years Trend |
|
Net Working Capital |
| Timeline |
FactSet Net Working Capital Regression Statistics
| Arithmetic Mean | 311,858,492 | |
| Geometric Mean | 287,605,959 | |
| Coefficient Of Variation | 44.85 | |
| Mean Deviation | 114,162,591 | |
| Median | 209,782,000 | |
| Standard Deviation | 139,873,034 | |
| Sample Variance | 19564.5T | |
| Range | 409.6M | |
| R-Value | 0.64 | |
| Mean Square Error | 12559.7T | |
| R-Squared | 0.40 | |
| Significance | 0.01 | |
| Slope | 19,877,035 | |
| Total Sum of Squares | 273902.5T |
FactSet Net Working Capital History
About FactSet Research Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include FactSet Research income statement, its balance sheet, and the statement of cash flows. FactSet Research investors use historical funamental indicators, such as FactSet Research's Net Working Capital, to determine how well the company is positioned to perform in the future. Although FactSet Research investors may use each financial statement separately, they are all related. The changes in FactSet Research's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on FactSet Research's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on FactSet Research Financial Statements. Understanding these patterns can help to make the right decision on long term investment in FactSet Research. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Net Working Capital | 325.5 M | 421.4 M |
Pair Trading with FactSet Research
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 FactSet Research 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 FactSet Research will appreciate offsetting losses from the drop in the long position's value.Moving together with FactSet Stock
| 0.61 | VALU | Value Line Normal Trading | PairCorr |
| 0.72 | CME | CME Group | PairCorr |
| 0.66 | ICE | Intercontinental Exchange | PairCorr |
Moving against FactSet Stock
| 0.63 | DB | Deutsche Bank AG | PairCorr |
| 0.52 | C | Citigroup Financial Report 12th of July 2024 | PairCorr |
| 0.45 | GS | Goldman Sachs Group Financial Report 17th of July 2024 | PairCorr |
The ability to find closely correlated positions to FactSet Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FactSet Research 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 FactSet Research - 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 FactSet Research Systems to buy it.
The correlation of FactSet Research 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 FactSet Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FactSet Research Systems 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 FactSet Research 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.Check out the analysis of FactSet Research Correlation against competitors. Note that the FactSet Research Systems information on this page should be used as a complementary analysis to other FactSet Research's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Complementary Tools for FactSet Stock analysis
When running FactSet Research's price analysis, check to measure FactSet Research'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 FactSet Research is operating at the current time. Most of FactSet Research's value examination focuses on studying past and present price action to predict the probability of FactSet Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FactSet Research's price. Additionally, you may evaluate how the addition of FactSet Research to your portfolios can decrease your overall portfolio volatility.
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Is FactSet Research's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of FactSet Research. If investors know FactSet will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about FactSet Research listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.08 | Dividend Share 3.92 | Earnings Share 12.65 | Revenue Per Share 56.495 | Quarterly Revenue Growth 0.06 |
The market value of FactSet Research Systems is measured differently than its book value, which is the value of FactSet that is recorded on the company's balance sheet. Investors also form their own opinion of FactSet Research's value that differs from its market value or its book value, called intrinsic value, which is FactSet Research's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because FactSet Research's market value can be influenced by many factors that don't directly affect FactSet Research's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FactSet Research's value and its price as these two are different measures arrived at by different means. Investors typically determine if FactSet Research is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FactSet Research's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.