Factset Research Systems Stock Market Value
| FDS Stock | USD 201.95 8.19 4.23% |
| Symbol | FactSet |
Is there potential for Financial Exchanges & Data market expansion? Will FactSet introduce new products? Factors like these will boost the valuation of FactSet Research. Market participants price FactSet higher when confident in its future expansion prospects. Understanding fair value requires weighing current performance against future potential. 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 0.044 | Dividend Share 4.34 | Earnings Share 16.01 | Revenue Per Share | Quarterly Revenue Growth 0.068 |
Understanding FactSet Research Systems requires distinguishing between market price and book value, where the latter reflects FactSet's accounting equity. The concept of intrinsic value - what FactSet Research's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Market sentiment, economic cycles, and investor behavior can push FactSet Research's price substantially above or below its fundamental 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. In contrast, FactSet Research's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
FactSet Research 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to FactSet Research's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of FactSet Research.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in FactSet Research on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding FactSet Research Systems or generate 0.0% return on investment in FactSet Research over 90 days. FactSet Research is related to or competes with Morningstar, SEI Investments, Jefferies Financial, Xp, Invesco Plc, Old Republic, and Assurant. FactSet Research Systems Inc., a financial data and analytics company, provides integrated financial information and ana... More
FactSet Research Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure FactSet Research's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess FactSet Research Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 16.05 | |||
| Value At Risk | (6.33) | |||
| Potential Upside | 2.56 |
FactSet Research Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FactSet Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FactSet Research's standard deviation. In reality, there are many statistical measures that can use FactSet Research historical prices to predict the future FactSet Research's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | 1.03 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FactSet Research's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
FactSet Research February 14, 2026 Technical Indicators
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| Risk Adjusted Performance | (0.1) | |||
| Market Risk Adjusted Performance | 1.04 | |||
| Mean Deviation | 1.8 | |||
| Coefficient Of Variation | (773.02) | |||
| Standard Deviation | 2.73 | |||
| Variance | 7.46 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | 1.03 | |||
| Maximum Drawdown | 16.05 | |||
| Value At Risk | (6.33) | |||
| Potential Upside | 2.56 | |||
| Skewness | (1.42) | |||
| Kurtosis | 3.38 |
FactSet Research Systems Backtested Returns
FactSet Research Systems secures Sharpe Ratio (or Efficiency) of -0.16, which denotes the company had a -0.16 % return per unit of standard deviation over the last 3 months. FactSet Research Systems exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FactSet Research's Coefficient Of Variation of (773.02), mean deviation of 1.8, and Standard Deviation of 2.73 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.35, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning FactSet Research are expected to decrease at a much lower rate. During the bear market, FactSet Research is likely to outperform the market. At this point, FactSet Research Systems has a negative expected return of -0.45%. Please make sure to confirm FactSet Research's total risk alpha, as well as the relationship between the skewness and day median price , to decide if FactSet Research Systems performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.61 |
Very good reverse predictability
FactSet Research Systems has very good reverse predictability. Overlapping area represents the amount of predictability between FactSet Research time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of FactSet Research Systems price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current FactSet Research price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 1318.46 |
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Additional 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.