FactSet Other Operating Expenses from 2010 to 2024
| FDS Stock | USD 422.83 2.89 0.69% |
Other Operating Expenses | First Reported 1996-05-31 | Previous Quarter 352.3 M | Current Value 353.2 M | Quarterly Volatility 105.4 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 | Other Operating Expenses |
Latest FactSet Research's Other Operating Expenses Growth Pattern
Below is the plot of the Other Operating Expenses of FactSet Research Systems over the last few years. Other Operating Expenses is the expense which generally does not depend on sales or production quantities of FactSet Research Systems. It is also known as FactSet Research overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. It is expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production. FactSet Research's Other Operating Expenses 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.
| Other Operating Expenses | 10 Years Trend |
|
Other Operating Expenses |
| Timeline |
FactSet Other Operating Expenses Regression Statistics
| Arithmetic Mean | 956,722,094 | |
| Geometric Mean | 765,494,909 | |
| Coefficient Of Variation | 47.13 | |
| Mean Deviation | 347,004,355 | |
| Median | 983,941,000 | |
| Standard Deviation | 450,936,618 | |
| Sample Variance | 203343.8T | |
| Range | 1.7B | |
| R-Value | 0.97 | |
| Mean Square Error | 11684.4T | |
| R-Squared | 0.95 | |
| Slope | 98,105,559 | |
| Total Sum of Squares | 2846813.7T |
FactSet Other Operating Expenses 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 Other Operating Expenses, 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 | ||
| Other Operating Expenses | 1.6 B | 1.7 B |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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.
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |
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 12.64 | 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.