FactSet Total Stockholder Equity vs Accumulated Depreciation Analysis
FDS Stock | USD 436.04 0.00 0.00% |
FactSet Research financial indicator trend analysis is much more than just examining FactSet Research Systems latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether FactSet Research Systems is a good investment. Please check the relationship between FactSet Research Total Stockholder Equity and its Accumulated Depreciation accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FactSet Research Systems. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment.
Total Stockholder Equity vs Accumulated Depreciation
Total Stockholder Equity vs Accumulated Depreciation Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of FactSet Research Systems Total Stockholder Equity account and Accumulated Depreciation. At this time, the significance of the direction appears to have significant contrarian relationship.
The correlation between FactSet Research's Total Stockholder Equity and Accumulated Depreciation is -0.44. Overlapping area represents the amount of variation of Total Stockholder Equity that can explain the historical movement of Accumulated Depreciation in the same time period over historical financial statements of FactSet Research Systems, assuming nothing else is changed. The correlation between historical values of FactSet Research's Total Stockholder Equity and Accumulated Depreciation is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Stockholder Equity of FactSet Research Systems are associated (or correlated) with its Accumulated Depreciation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Accumulated Depreciation has no effect on the direction of Total Stockholder Equity i.e., FactSet Research's Total Stockholder Equity and Accumulated Depreciation go up and down completely randomly.
Correlation Coefficient | -0.44 |
Relationship Direction | Negative |
Relationship Strength | Very Weak |
Total Stockholder Equity
The total equity held by shareholders, calculated as the difference between a company's total assets and total liabilities. It represents the net value of the company owned by shareholders.Accumulated Depreciation
Accumulated depreciation is the total amount of depreciation for FactSet Research Systems fixed asset that has been charged to FactSet Research expense since that asset was acquired and made available for FactSet Research use. The accumulated depreciation account is FactSet Research Systems asset account with a credit balance. It is also known as a contra asset account and appears on the balance sheet as a reduction from the gross amount of fixed assets reported by FactSet Research Systems.Most indicators from FactSet Research's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into FactSet Research Systems current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FactSet Research Systems. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. At this time, FactSet Research's Selling General Administrative is comparatively stable compared to the past year. Sales General And Administrative To Revenue is likely to gain to 0.37 in 2024, whereas Enterprise Value Over EBITDA is likely to drop 22.72 in 2024.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 972.8M | 1.1B | 1.3B | 1.3B | Total Revenue | 1.8B | 2.1B | 2.4B | 2.5B |
FactSet Research fundamental ratios Correlations
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FactSet Research Account Relationship Matchups
High Positive Relationship
High Negative Relationship
FactSet Research fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 2.1B | 2.2B | 4.0B | 3.9B | 4.5B | 4.8B | |
Other Current Liab | 111.2M | 135.2M | 148.7M | 165.2M | 190.0M | 199.5M | |
Total Current Liabilities | 276.3M | 315.7M | 438.3M | 467.3M | 537.4M | 564.3M | |
Total Stockholder Equity | 898.2M | 1.0B | 1.3B | 1.6B | 1.9B | 2.0B | |
Property Plant And Equipment Net | 382.0M | 370.4M | 240.3M | 227.9M | 262.1M | 275.2M | |
Net Debt | 290.1M | 184.4M | 1.7B | 1.4B | 1.6B | 1.7B | |
Retained Earnings | 633.1M | 912.5M | 1.2B | 1.5B | 1.7B | 1.8B | |
Accounts Payable | 82.1M | 85.8M | 108.4M | 120.8M | 138.9M | 145.9M | |
Cash | 585.6M | 681.9M | 503.3M | 425.4M | 489.3M | 513.7M | |
Non Current Assets Total | 1.2B | 1.3B | 3.1B | 3.2B | 3.7B | 3.9B | |
Non Currrent Assets Other | 28.6M | 29.5M | 37.0M | 69.2M | 79.6M | 83.6M | |
Cash And Short Term Investments | 605.2M | 717.8M | 536.5M | 457.7M | 526.3M | 552.6M | |
Net Receivables | 155.0M | 151.2M | 204.1M | 237.7M | 273.3M | 287.0M | |
Common Stock Shares Outstanding | 38.6M | 38.6M | 38.7M | 38.9M | 35.0M | 47.5M | |
Liabilities And Stockholders Equity | 2.1B | 2.2B | 4.0B | 3.9B | 4.5B | 4.8B | |
Non Current Liabilities Total | 908.9M | 890.8M | 2.2B | 1.9B | 2.1B | 2.2B | |
Other Current Assets | 43.7M | 50.6M | 91.2M | 55.1M | 63.3M | 66.5M | |
Other Stockholder Equity | 303.9M | 142.4M | 259.6M | 202.2M | 232.5M | 244.2M | |
Total Liab | 1.2B | 1.2B | 2.7B | 2.3B | 2.7B | 2.8B | |
Property Plant And Equipment Gross | 382.0M | 370.4M | 80.8M | 227.9M | 262.1M | 275.2M | |
Total Current Assets | 841.9M | 933.6M | 870.3M | 750.4M | 862.9M | 906.1M | |
Accumulated Other Comprehensive Income | (39.3M) | (39.0M) | (108.4M) | (87.1M) | (78.4M) | (74.5M) | |
Common Stock Total Equity | 401K | 408K | 412K | 417K | 479.6K | 500.5K | |
Common Stock | 408K | 412K | 417K | 421K | 484.2K | 499.0K | |
Other Liab | 60.3M | 56.1M | 53.6M | 49.4M | 56.8M | 36.6M | |
Other Assets | 277.6M | 29.5M | 41.9M | 102.4M | 117.8M | 123.6M | |
Good Will | 709.7M | 754.4M | 965.8M | 1.0B | 1.2B | 1.2B | |
Short Term Investments | 19.6M | 36.0M | 33.2M | 32.2M | 29.0M | 24.2M | |
Treasury Stock | (213.4M) | (433.8M) | (637.0M) | (905.9M) | (815.3M) | (774.6M) | |
Intangible Assets | 121.1M | 135.0M | 1.9B | 1.9B | 2.1B | 2.2B | |
Property Plant Equipment | 133.1M | 370.4M | 240.3M | 227.9M | 262.1M | 275.2M | |
Inventory | 38.1M | 13.9M | 38.5M | (3.1M) | (3.6M) | (3.4M) | |
Short Long Term Debt Total | 875.7M | 866.2M | 2.2B | 1.8B | 2.1B | 2.2B | |
Current Deferred Revenue | 54.0M | 63.1M | 152.0M | 152.4M | 175.3M | 184.1M | |
Short Term Debt | 29.1M | 31.6M | 29.2M | 28.8M | 33.2M | 36.7M | |
Net Tangible Assets | 896.4M | 127.0M | (1.5B) | (1.2B) | (1.1B) | (1.1B) | |
Long Term Debt | 574.4M | 574.7M | 2.0B | 1.6B | 1.9B | 1.9B | |
Retained Earnings Total Equity | 373.2M | 633.1M | 912.5M | 1.2B | 1.4B | 917.4M | |
Capital Surpluse | 939.1M | 1.0B | 1.2B | 1.3B | 1.5B | 777.9M | |
Deferred Long Term Liab | 16.4M | 19.7M | 14.8M | 8.8M | 10.1M | 11.8M |
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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FactSet Research Systems. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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.